A-IoT device in wireless communication system, execution method and wireless communication system

Abstract

The present disclosure relates to wireless communication techniques. Specifically, the embodiment of the invention provides an A-IoT device in a wireless communication system, an execution method and the wireless communication system, and the A-IoT device comprises a first filter network and a second filter network. The first filter network is configured to filter the first radio frequency signal and send the filtered first radio frequency signal to the first module used for receiving the signal, and a working frequency band of the first filter network comprises a signal receiving frequency band of the A-IoT device; the second filter network is configured to filter the second radio frequency signal and send the filtered second radio frequency signal to the second module used for controlling signal reflection, and the working frequency band of the second filter network comprises the signal emission frequency band of the A-IoT device. According to the embodiment of the invention, under the condition that the complexity and the power consumption of equipment are not obviously increased, the equipment can flexibly work in different scenes.

Description

Technical Field

[0001] The present disclosure relates to the technical field of wireless communications, and in particular to an electronic device in a communication system, an execution method, and a communication system. Background Art

[0002] Considering the development of wireless communication from generation to generation, these technologies have been developed mainly for services targeting people, such as voice calls, multimedia services and data services. With the commercialization of the fifth generation (5G) communication system, the number of connected devices is expected to grow exponentially. These will be increasingly connected to the communication network. Examples of the Internet of Things can include vehicles, robots, drones, home appliances, displays, smart sensors connected to various infrastructures, construction machinery and factory equipment. Mobile devices are expected to develop in various forms (such as augmented reality glasses, virtual reality headsets and holographic devices). Efforts have been made to develop improved 6G communication systems so that various services can be provided by connecting hundreds of billions of devices and things in the sixth generation (6G) era. For these reasons, 6G communication systems are called super 5G systems.

[0003] The 6G communication system, which is expected to be commercialized around 2030, will have a peak data rate of tera (1,000 gigabits) per second and a radio latency of less than 100 μsec, thus being 50 times the data rate of the 5G communication system and having 1 / 10 of its radio latency.

[0004] In order to achieve such high data rates and ultra-low latency, the implementation of 6G communication systems in the terahertz band (e.g., the 95 GHz to 3 THz band) has been considered. It is expected that since the path loss and atmospheric absorption in the terahertz band are more serious than those in the millimeter wave (mmWave) band introduced in 5G, technologies that can ensure the signal transmission distance (i.e., coverage) will become more critical. As the main technology to ensure coverage, it is necessary to develop radio frequency (RF) elements, antennas, and new waveforms with better coverage than orthogonal frequency division multiplexing (OFDM), beamforming and massive multiple input multiple output (MIMO), full-dimensional MIMO (FD-MIMO), array antennas, and multi-antenna transmission technologies such as massive antennas. In addition, new technologies for improving signal coverage in the terahertz band, such as metamaterial-based lenses and antennas, orbital angular momentum (OAM), and reconfigurable smart surfaces (RIS), have been under discussion.

[0005] Furthermore, to improve spectrum efficiency and overall network performance, the following technologies have been developed for 6G communication systems: full-duplex technology for enabling uplink and downlink transmissions to simultaneously use the same frequency resources; network technologies that utilize satellites, high-altitude platform stations (HAPS), and other systems in an integrated manner; improved network structures to support mobile base stations and enable network operation optimization and automation; dynamic spectrum sharing technology with conflict avoidance based on spectrum usage prediction; the use of artificial intelligence (AI) in wireless communications to improve overall network operations by leveraging AI from the design stage of 6G development and internalizing end-to-end AI support functions; and next-generation distributed computing technologies that overcome the computing power limitations of user equipment (UE) by leveraging ultra-high-performance communication and computing resources available on the network, such as mobile edge computing (MEC) and the cloud. Furthermore, efforts are continuing to strengthen connectivity between devices, optimize networks, promote the softwareization of network entities, and increase the openness of wireless communications by designing new protocols to be used in 6G communication systems, developing mechanisms to implement hardware-based security environments and secure data usage, and developing technologies to maintain privacy.

[0006] Research and development of 6G communication systems, including hyperconnectivity for both human-to-machine (P2M) and machine-to-machine (M2M), are expected to bring about the next hyperconnected experience. Specifically, services such as truly immersive extended reality (XR), high-fidelity mobile holograms, and digital replicas are expected to be provided through 6G communication systems. Furthermore, services such as remote surgery for enhanced safety and reliability, industrial automation, and emergency response will be provided through 6G communication systems, enabling the technology to be applied in a variety of fields such as industry, healthcare, automobiles, and home appliances. Summary of the Invention

[0007] The purpose of the embodiments of the present disclosure is to provide a device architecture solution based on a filtering network. To achieve this purpose, the embodiments of the present disclosure provide electronic equipment in a communication system, an execution method, and a communication system, as follows:

[0008] In a first aspect, an embodiment of the present disclosure provides an A-IoT device in a communication system, including a first filtering network and a second filtering network;

[0009] The first filtering network is configured to filter the first radio frequency signal and send the filtered first radio frequency signal to a first module for receiving a signal, and the operating frequency band of the first filtering network includes the signal receiving frequency band of the A-IoT device;

[0010] The second filtering network is configured to filter the second RF signal and send the filtered second RF signal to a second module for controlling signal reflection. The operating frequency band of the second filtering network includes the signal transmission frequency band of the A-IoT device.

[0011] In a feasible embodiment, the operating frequency band of the first filtering network includes an FDD downlink frequency band or an FDD uplink frequency band, and the operating frequency band of the second filtering network includes an FDD uplink frequency band;

[0012] Among them, the working frequency band of the first filtering network includes the FDD downlink frequency band or the FDD uplink frequency band including the signal receiving frequency band of the A-IoT device, and the working frequency band of the second filtering network includes the FDD uplink frequency band including the signal transmitting frequency band of the A-IoT device.

[0013] In a feasible embodiment, the first filtering network further sends the filtered first radio frequency signal to a third module for converting the signal into electrical energy; and / or

[0014] The second filtering network further sends the filtered second RF signal to the third module.

[0015] In a feasible embodiment, it also includes a third filtering network, which is configured to filter the third RF signal and send the filtered third RF signal to a third module for converting the signal into electrical energy. The operating frequency band of the third filtering network includes the energy receiving frequency band of the A-IoT device; the third RF signal includes at least one of the first RF signal, the second RF signal and other RF signals.

[0016] In a feasible embodiment, the first filter network and the second filter network are the same filter network.

[0017] In a feasible embodiment, the operating frequency band of the filtering network connected to the third module includes at least one of the FDD downlink frequency band, the guard band and the FDD uplink frequency band; the operating frequency band of the filtering network connected to the third module includes at least one of the FDD downlink frequency band, the guard band and the FDD uplink frequency band, including the energy receiving frequency band of the A-IoT device.

[0018] In a feasible embodiment, the filter networks are connected in parallel, and the filter networks are switched to be connected to the same antenna via a switch element, or the filter networks are respectively connected to different antennas.

[0019] In a feasible embodiment, the first filter network, the second filter network, and the third filter network are connected in parallel, and the connection relationship between each filter network and the antenna includes one of the following:

[0020] The first filter network, the second filter network and the third filter network are switched and connected to the same antenna via a switch element;

[0021] The first filter network and the second filter network are connected to the first antenna through a switching element, and the third filter network is connected to the first antenna or the second antenna;

[0022] The first filter network, the second filter network and the third filter network are respectively connected to different antennas.

[0023] In a feasible embodiment, the first filter network and the second filter network are connected in series, and an input end of one of the filter networks is connected to the antenna;

[0024] The A-IoT device further includes a switch element connected in parallel to one of the filter networks, and the operating frequency band of the filter network not connected in parallel to the switch element also includes the energy receiving frequency band of the A-IoT device; or

[0025] The A-IoT device further includes a switching element connected in parallel with the first filtering network and the second filtering network respectively.

[0026] In a feasible embodiment, the first module includes an envelope detector, a baseband power amplifier, a baseband filter network and a comparator connected in series, or includes an envelope detector, a baseband filter network, a baseband power amplifier and a comparator connected in series.

[0027] In a feasible embodiment, the passband bandwidth of the baseband filtering network is not greater than half of the maximum signal reception bandwidth associated with A-IoT and / or not less than half of the minimum signal reception bandwidth associated with A-IoT.

[0028] In a second aspect, an embodiment of the present disclosure provides a method performed by an A-IoT device in a communication system, including at least one of the following:

[0029] Filtering the first radio frequency signal through a first filtering network, and sending the filtered first radio frequency signal to a first module for receiving a signal, wherein the operating frequency band of the first filtering network includes the signal receiving frequency band of the A-IoT device;

[0030] The second RF signal is filtered through a second filtering network, and the filtered second RF signal is sent to a third module for controlling signal reflection. The operating frequency band of the second filtering network includes the signal transmission frequency band of the A-IoT device.

[0031] In a feasible embodiment, the operating frequency band of the first filtering network includes an FDD downlink frequency band or an FDD uplink frequency band, and the operating frequency band of the second filtering network includes an FDD uplink frequency band;

[0032] Among them, the working frequency band of the first filtering network includes the FDD downlink frequency band or the FDD uplink frequency band including the signal receiving frequency band of the A-IoT device, and the working frequency band of the second filtering network includes the FDD uplink frequency band including the signal transmitting frequency band of the A-IoT device.

[0033] In a feasible embodiment, at least one of the following is further included:

[0034] sending the filtered first radio frequency signal to a third module for converting the signal into electrical energy through the first filtering network;

[0035] The filtered second radio frequency signal is sent to the third module through the second filtering network.

[0036] In a feasible embodiment, it further includes:

[0037] The third RF signal is filtered through a third filtering network, and the filtered third RF signal is sent to a third module for converting the signal into electrical energy. The operating frequency band of the third filtering network includes the energy receiving frequency band of the A-IoT device; the third RF signal includes at least one of the first RF signal, the second RF signal and other RF signals.

[0038] In a feasible embodiment, the operating frequency band of the filtering network connected to the third module includes at least one of the FDD downlink frequency band, the guard band and the FDD uplink frequency band; the operating frequency band of the filtering network connected to the third module includes at least one of the FDD downlink frequency band, the guard band and the FDD uplink frequency band, including the energy receiving frequency band of the A-IoT device.

[0039] In a feasible embodiment, the first filter network and the second filter network are connected in parallel, and the first filter network and the second filter network are switched and connected to the same antenna through a switch element, or the first filter network and the second filter network are respectively connected to different antennas.

[0040] In a feasible embodiment, the first filter network, the second filter network, and the third filter network are connected in parallel, and the connection relationship between each filter network and the antenna includes one of the following:

[0041] The first filter network, the second filter network and the third filter network are switched and connected to the same antenna via a switch element;

[0042] The first filter network and the second filter network are connected to the first antenna through a switching element, and the third filter network is connected to the first antenna or the second antenna;

[0043] The first filter network, the second filter network and the third filter network are respectively connected to different antennas.

[0044] In a feasible embodiment, the first filter network and the second filter network are connected in series, and an input end of one of the filter networks is connected to the antenna;

[0045] The A-IoT device further includes a switch element connected in parallel to one of the filter networks, and the operating frequency band of the filter network not connected in parallel to the switch element also includes the energy receiving frequency band of the A-IoT device; or

[0046] The A-IoT device further includes a switching element connected in parallel with the first filtering network and the second filtering network respectively.

[0047] In a feasible embodiment, the first module includes an envelope detector, a baseband power amplifier, a baseband filter network and a comparator connected in series, or includes an envelope detector, a baseband filter network, a baseband power amplifier and a comparator connected in series.

[0048] In a feasible embodiment, the passband bandwidth of the baseband filtering network is not greater than half of the maximum signal reception bandwidth associated with A-IoT and / or not less than half of the minimum signal reception bandwidth associated with A-IoT.

[0049] In a third aspect, an embodiment of the present disclosure provides a wireless communication system, including the A-IoT device provided in the first aspect and any embodiment thereof.

[0050] In a fourth aspect, an embodiment of the present disclosure provides an A-IoT device in a wireless communication system, comprising at least one transceiver and at least one processor coupled to the at least one transceiver, wherein the at least one processor is configured to execute the steps of the method provided in the second aspect and any embodiment thereof.

[0051] In a fifth aspect, an embodiment of the present disclosure provides a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, the steps of the method provided in the second aspect and any embodiment thereof are executed.

[0052] In a sixth aspect, an embodiment of the present disclosure provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the method provided in the second aspect and any embodiment thereof are executed.

[0053] The beneficial effects brought about by the technical solutions provided by the embodiments of the present disclosure will be introduced below in conjunction with specific embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following briefly introduces the drawings required for describing the embodiments of the present disclosure.

[0055] Figure 1 A schematic structural diagram of a wireless network system applicable to an embodiment of the present disclosure is shown;

[0056] Figure 2 shows a schematic structural diagram of an example base station according to the present disclosure;

[0057] Figure 3 A schematic diagram showing the structure of an example user equipment according to the present disclosure is shown;

[0058] Figure 4 A schematic diagram of the architecture of an electronic device used in related art is shown;

[0059] Figure 5 A schematic diagram of an operating architecture provided by an embodiment of the present disclosure is shown;

[0060] Figure 6 A schematic diagram of the architecture of an electronic device provided by an embodiment of the present disclosure is shown;

[0061] Figure 7 A schematic diagram showing an operating frequency band of a filter network provided by an embodiment of the present disclosure is shown;

[0062] Figure 8 A schematic diagram showing another operating frequency band of a filter network provided by an embodiment of the present disclosure is shown;

[0063] Figure 9 A schematic diagram of the architecture of another electronic device provided by an embodiment of the present disclosure is shown;

[0064] Figure 10 A schematic diagram showing another operating frequency band of a filter network provided by an embodiment of the present disclosure is shown;

[0065] Figure 11 A schematic diagram of the architecture of another electronic device provided by an embodiment of the present disclosure is shown;

[0066] Figure 12 A schematic diagram of the architecture of a multi-antenna and multi-filter network combination provided by an embodiment of the present disclosure is shown;

[0067] Figure 13 A schematic diagram of the architecture of another multi-antenna and multi-filter network combination provided by an embodiment of the present disclosure is shown;

[0068] Figure 14 A schematic diagram of the architecture of another multi-antenna and multi-filter network combination provided by an embodiment of the present disclosure is shown;

[0069] Figure 15 A schematic diagram of the architecture of another multi-antenna and multi-filter network combination provided by an embodiment of the present disclosure is shown;

[0070] Figure 16 A schematic diagram of a filter network series arrangement provided by an embodiment of the present disclosure is shown;

[0071] Figure 17 A schematic diagram showing another filter network series arrangement provided by an embodiment of the present disclosure is shown;

[0072] Figure 18 A schematic diagram of the architecture of a receiving module provided by an embodiment of the present disclosure is shown;

[0073] Figure 19 A schematic diagram showing signal processing by a receiving module provided by an embodiment of the present disclosure is shown;

[0074] Figure 20 A schematic diagram of the architecture of another receiving module provided by an embodiment of the present disclosure is shown;

[0075] Figure 21 A schematic flow chart of a method performed by an electronic device in a communication system according to an embodiment of the present disclosure is shown;

[0076] Figure 22 A schematic structural diagram of an electronic device provided by an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0077] Before proceeding to the following specific embodiments, it may be advantageous to set forth the definitions of certain words and phrases used throughout the patent document. The term "connect" and its derivatives refer to any direct or indirect communication between two or more elements, regardless of whether those elements are in physical contact with each other. The terms "send," "receive," and "communicate," and their derivatives encompass both direct and indirect communication. The terms "include," "comprise," and "includes," and their derivatives, mean to include without limitation. The term "or" is inclusive, meaning and / or. The phrase "associated with," and its derivatives, means to include, be included within, be interconnected with, include, be included within, be connected to or connected with, be coupled to or coupled with, communicate with, collaborate with, be interwoven, juxtaposed, be close to, be bound to or bound with, have, have an attribute of, have a relationship to ... or have a relationship to ... etc. The term "controller" means any device, system, or part thereof that controls at least one operation. Such a controller can be implemented in hardware or in a combination of hardware and software and / or firmware. The functionality associated with any particular controller, whether local or remote, can be centralized or distributed. The phrase "at least one of" when used with a list of items means that different combinations of one or more of the listed items can be used, and only one item in the list may be required. For example, "at least one of A, B, and C" includes any of the following combinations: A, B, C, A and B, A and C, B and C, and only A, only B, and only C. Similarly, the term "set" means one or more. Thus, a set of items can be a single item or a set of two or more items.

[0078] Moreover, various functions as described below can be implemented or supported by one or more computer programs, each of which is formed by computer-readable program code and embodied in a computer-readable medium. The terms "application" and "program" refer to one or more computer programs, software components, instruction sets, processes, functions, objects, categories, instances, related data, or a part thereof that are suitable for being implemented in a suitable computer-readable program code. The phrase "computer-readable program code" includes any type of computer code, including source code, object code, and executable code. The phrase "computer-readable medium" includes any type of medium that can be accessed by a computer, such as a read-only memory (ROM), random access memory (RAM), hard drive, compact disc (CD), digital video disc (DVD), or any other type of memory. "Non-transient" computer-readable medium excludes wired, wireless, optical, or other communication links that transmit instantaneous electrical signals or other signals. Non-transient computer-readable medium includes a medium in which data can be permanently stored and a medium in which data can be stored and rewritten later, such as a rewritable optical disc or erasable memory device.

[0079] Definitions for certain other words and phrases are provided throughout this patent document. Those skilled in the art should understand that in many, if not most instances, such definitions apply to prior, as well as future uses of such defined words and phrases.

[0080] The figures and various embodiments used to describe the principles of the present disclosure are included herein for illustration only and should not be construed in any way as limiting the scope of the present disclosure. In addition, those skilled in the art will appreciate that the principles of the present disclosure can be implemented in any appropriately arranged wireless communication system.

[0081] The following Figures 1 to 3 Various embodiments of the present disclosure are described as being implemented in a wireless communication system. Figures 1 to 3 The description is not meant to imply physical or architectural limitations to the manner in which different embodiments may be implemented. Different embodiments of the present disclosure may be implemented in any suitably arranged communications system.

[0082] Figure 1 An example wireless network according to an embodiment of the present disclosure is shown. Figure 1 The embodiment of the wireless network shown in FIGURE 1 is for illustration only. Other embodiments of the wireless network 100 may be used without departing from the scope of this disclosure.

[0083] like Figure 1 As shown, the wireless network includes base station (gNB or gNodeB) 101, gNB 102, and gNB 103. gNB 101 communicates with gNB 102 and gNB 103. gNB 101 also communicates with at least one network 130, such as the Internet, a proprietary Internet Protocol (IP) network, or other data network.

[0084] gNB 102 provides wireless broadband access to network 130 for a plurality of first user equipment (UEs) within coverage area 120 of gNB 102. The plurality of first UEs include UE 111, which may be located at a small business (SB); UE 112, which may be located at an enterprise (E); UE 113, which may be located at a WiFi hotspot (HS); UE 114, which may be located at a first residence (R1); UE 115, which may be located at a second residence (R2); and UE 116, which may be a mobile device (M) such as a cellular phone, a wireless laptop, a wireless personal digital assistant (PDA), etc. gNB 103 provides wireless broadband access to network 130 for a plurality of second UEs within coverage area 125 of gNB 103. The plurality of second UEs include UE 115 and UE 116, as well as subscriber stations (SS, e.g., UEs) 117, 118, and 119. In some embodiments, one or more of gNBs 101-103 may communicate with each other and UEs 111-116 using existing wireless communication technologies, and one or more of UEs 111-119 may communicate directly with each other (e.g., UEs 117-119) using other existing or proposed wireless communication technologies.

[0085] Depending on the network type, the term "base station" or "BS" can refer to any component (or collection of components) configured to provide wireless access to a network, such as a transmission point (TP), a transceiver point (TRP), an enhanced (or "evolved") base station (eNodeB or eNB), a 5G base station (gNB), a macro cell, a femto cell, a Wireless Fidelity (WiFi) access point (AP), or other wireless-capable device. A base station can provide wireless access according to one or more wireless communication protocols, such as 3GPP 5G New Radio (NR), Long Term Evolution (LTE), LTE-Advanced (LTE-A), High Speed Packet Access (HSPA), Wi-Fi 802.11a / b / g / n / ac, etc. For convenience, various names of base station-type devices and functions are used interchangeably in this patent document to refer to network infrastructure components that provide wireless access to remote terminals. Moreover, depending on the network type, the term "user equipment" (UE) can refer to any component such as a mobile station (MS), a subscriber station (SS), a remote terminal, a wireless terminal, a receiving point, or a user device. For convenience, various names of user equipment type devices and functions are used interchangeably in this patent document to refer to a remote wireless device that wirelessly accesses a BS, regardless of whether the UE is a mobile device (such as a mobile phone or smartphone) or a device generally considered to be a fixed device (such as a desktop computer or vending machine).

[0086] Dashed lines illustrate the approximate extents of coverage areas 120 and 125, which are shown as generally circular for purposes of illustration and explanation only. It should be clearly understood that coverage areas associated with a gNB, such as coverage areas 120 and 125, may have other shapes, including irregular shapes, depending on the configuration of the gNB and variations in the wireless environment associated with natural and man-made obstacles.

[0087] As described in more detail below, one or more of UEs 111-119 include circuitry, programming, or a combination thereof. In certain embodiments, one or more of gNBs 101-103 include circuitry, programming, or a combination thereof.

[0088] although Figure 1 An example of a wireless network is shown, but Figure 1 Various changes may be made. For example, wireless network 100 may include any number of gNBs and any number of UEs in any suitable arrangement. Moreover, gNB 101 may communicate directly with any number of UEs and provide those UEs with wireless broadband access to network 130. Similarly, each gNB 102-103 may communicate directly with network 130 and provide the UEs with direct wireless broadband access to network 130. In addition, gNBs 101, 102, and / or 103 may provide access to other or additional external networks, such as an external telephone network or other types of data networks.

[0089] Figure 2 An example base station according to an embodiment of the present disclosure is shown. Figure 2 The embodiment of the gNB 102 shown in FIGURE 1 is for illustration only, and Figure 1 gNBs 101 and 103 may have the same or similar configurations. However, gNBs appear in a variety of configurations, and Figure 2 The scope of this disclosure is not limited to any particular implementation of a gNB.

[0090] like Figure 2 As shown in FIG, gNB 102 includes multiple antennas 200a-200n, multiple radio frequency (RF) transceivers 201a-201n, transmit (TX) processing circuitry 203, and receive (RX) processing circuitry 204. gNB 102 also includes a controller / processor 205, memory 206, and a backhaul or network interface 207.

[0091] RF transceivers 201a-201n receive incoming RF signals from antennas 200a-200n, such as signals transmitted by UEs in network 100. RF transceivers 201a-201n downconvert the incoming RF signals to generate intermediate frequency (IF) or baseband signals. The IF or baseband signals are sent to RX processing circuitry 204, which generates processed baseband signals by filtering, decoding, and / or digitizing the baseband or IF signals. RX processing circuitry 204 sends the processed baseband signals to controller / processor 205 for further processing.

[0092] The TX processing circuitry 203 receives analog or digital data (such as voice data, web data, email, or interactive video game data) from the controller / processor 205. The TX processing circuitry 203 encodes, multiplexes, and / or digitizes the outgoing baseband data to generate processed baseband or IF signals. The RF transceivers 201a-201n receive the outgoing processed baseband or IF signals from the TX processing circuitry 203 and up-convert the baseband or IF signals into RF signals that are transmitted via the antennas 201a-201n.

[0093] The controller / processor 205 may include one or more processors or other processing devices that control the overall operation of the gNB 102. For example, the controller / processor 205 may control the reception of forward channel signals and the transmission of reverse channel signals by the RF transceivers 201a-201n, the RX processing circuitry 204, and the TX processing circuitry 203 in accordance with well-known principles. The controller / processor 205 may also support additional functionality, such as more advanced wireless communication functionality.

[0094] For example, the controller / processor 205 may support beamforming or directional routing operations, in which outgoing signals from the multiple antennas 200a-200n are weighted differently to effectively steer the outgoing signals in a desired direction. Any of a variety of other functions may be supported in the gNB 102 by the controller / processor 205.

[0095] Controller / processor 205 is also capable of executing programs and other processes, such as an operating system (OS), located in memory 206. Controller / processor 205 may move data into or out of memory 206 as needed to execute processes.

[0096] The controller / processor 205 is also connected to a backhaul or network interface 207. The backhaul or network interface 207 allows the gNB 102 to communicate with other devices or systems over a backhaul connection or over a network. The interface 207 can support communication over any suitable wired or wireless connection(s). For example, when the gNB 102 is implemented as part of a cellular communication system (such as one that supports 5G, LTE, or LTE-A), the interface 207 can allow the gNB 102 to communicate with other gNBs over a wired or wireless backhaul connection. When the gNB 102 is implemented as an access point, the interface 207 can allow the gNB 102 to communicate over a wired or wireless local area network or over a wired or wireless connection to a larger network (such as the Internet). The interface 207 includes any suitable structure that supports communication over a wired or wireless connection, such as Ethernet or an RF transceiver.

[0097] Memory 206 is connected to controller / processor 205. A portion of memory 206 may include random access memory (RAM), and another portion of memory 206 may include flash memory or other read-only memory (ROM).

[0098] although Figure 2 An example of gNB 102 is shown, but the Figure 2 For example, gNB 102 may include any number of Figure 2 As a specific example, the access point may include multiple interfaces 207, and the controller / processor 205 may support routing functionality to route data between different network addresses. As another specific example, although shown as including a single instance of the TX processing circuitry 203 and a single instance of the RX processing circuitry 204, the gNB 102 may include multiple instances of each (such as one for each RF transceiver). For example, Figure 2 The various components in may be combined, further subdivided, or omitted, and additional components may be added according to specific needs.

[0099] Figure 3 An example user device according to an embodiment of the present disclosure is shown. Figure 3 The embodiment of UE 116 shown in FIGURE 1 is for illustration only, and Figure 1 UEs 111-115 and 117-119 may have the same or similar configurations. However, UEs may appear in a variety of configurations, and Figure 3 The scope of this disclosure is not limited to any particular implementation of the UE.

[0100] like Figure 3As shown in FIG, UE 116 includes an antenna 301, a radio frequency (RF) transceiver 302, a TX processing circuit 303, a microphone 304, and a receive (RX) processing circuit 305. UE 116 also includes a speaker 306, a controller or processor 307, an input / output (I / O) interface (IF) 308, a touch screen display 310, and a memory 311. The memory 311 includes an OS 312 and one or more applications 313.

[0101] RF transceiver 302 receives incoming RF signals from antenna 301, transmitted by a gNB of network 100. RF transceiver 302 downconverts the incoming RF signals to generate an IF or baseband signal. The IF or baseband signal is sent to RX processing circuitry 305, which generates a processed baseband signal by filtering, decoding, and / or digitizing the baseband or IF signal. RX processing circuitry 305 sends the processed baseband signal to speaker 306 (such as for voice data) or processor 307 for further processing (such as for web browsing data).

[0102] The TX processing circuit 303 receives analog or digital voice data from the microphone 304 or other outgoing baseband data (such as web data, email, or interactive video game data) from the processor 307. The TX processing circuit 303 encodes, multiplexes, and / or digitizes the outgoing baseband data to generate a processed baseband or IF signal. The RF transceiver 302 receives the outgoing processed baseband or IF signal from the TX processing circuit 303 and up-converts the baseband or IF signal into an RF signal that is transmitted via the antenna 301.

[0103] The processor 307 may include one or more processors or other processing devices and executes the OS 312 stored in the memory 311 to control the overall operation of the UE 116. For example, the processor 307 may control the reception of forward channel signals and the transmission of reverse channel signals by the RF transceiver 302, the RX processing circuit 305, and the TX processing circuit 303 according to well-known principles. In some embodiments, the processor 307 includes at least one microprocessor or microcontroller.

[0104] Processor 307 is also capable of executing other processes and programs located in memory 311, such as processes for CSI reporting on uplink channels. Processor 307 can move data into or out of memory 311 as needed for the executed processes. In some embodiments, processor 307 is configured to execute application 313 based on OS 312 or in response to signals received from the gNB or operator. Processor 307 is also coupled to I / O interface 309, which provides UE 116 with the ability to connect to other devices such as laptops and portable computers. I / O interface 309 is the communication path between these accessories and processor 307.

[0105] Processor 307 is also connected to touch screen display 310. A user of UE 116 may use touch screen display 310 to enter data into UE 116. Touch screen display 310 may be a liquid crystal display, a light emitting diode display, or other display capable of rendering text and / or at least limited graphics, such as from a website.

[0106] The memory 311 is connected to the processor 307. A portion of the memory 311 may include RAM, and another portion of the memory 311 may include flash memory or other ROM.

[0107] although Figure 3 An example of a UE 116 is shown, but the Figure 3 Make various changes. For example, Figure 3 The various components in the can be combined, further subdivided, or omitted, and additional components can be added according to specific needs. As a specific example, the processor 307 can be divided into multiple processors, such as one or more central processing units (CPUs) and one or more graphics processing units (GPUs). Moreover, although Figure 3 The UE 116 is shown configured as a mobile phone or smartphone, but the UE may be configured to operate as other types of mobile or stationary devices.

[0108] With the widespread adoption and continuous evolution of the Internet of Things (IoT), more and more smart devices are connected to the internet, significantly improving our productivity and comfort. While this brings enormous economic benefits, the hundreds of billions of IoT devices also present new challenges. Traditional IoT devices are largely battery-powered, requiring manual replacement or recharging of batteries, resulting in high maintenance costs. Furthermore, these hundreds of billions of batteries can lead to serious environmental problems and, in some applications (such as oil production), even pose significant safety risks. Ambient-IoT is a new type of battery-free IoT technology. Ambient-IoT devices utilize energy harvesting to capture ambient energy (such as solar energy, vibration energy, and electromagnetic energy) and convert it into electrical power, effectively addressing the aforementioned challenges. Given that electromagnetic energy can be generated by existing radio frequency devices and provide relatively stable ambient energy to Ambient-IoT devices, Ambient-IoT devices are primarily based on radio frequency energy harvesting (RFEH).

[0109] Limited by ambient energy density and energy harvesting efficiency, Ambient-IoT devices can only provide very limited power. Therefore, their complexity and energy consumption must be kept to a very low level, insufficient to support their active generation of high-frequency electromagnetic waves to transmit information. A viable low-power, low-complexity transmission technology is backscatter communication. Backscatter communication modulates information onto an external radio frequency signal and reflects it. The transmitting node adjusts the load impedance to change the reflection coefficient, enhancing the reflection of the incident radio frequency signal. This requires very little energy to modify the amplitude, frequency, and phase of the external radio frequency signal, thereby transmitting information. Furthermore, since the device itself does not need to generate a high-frequency carrier, backscatter communication-based devices can eliminate expensive active components such as high-precision local oscillators, significantly reducing device cost and size. Furthermore, Ambient-IoT devices also require a low-power signal reception link, which is typically implemented using an envelope detector and signal comparator.

[0110] Existing Ambient-IoT devices, such as RFID, all operate in unlicensed spectrum. Considering the cost and complexity of device implementation, these Ambient-IoT devices usually have a fixed operating bandwidth and transmit and receive signals in the same frequency band. A typical Ambient-IoT device architecture is as follows: Figure 4 As shown, its architecture includes an antenna, an impedance matching network, a receiving module, an energy collection and management module, a modulation module, and a signal processing module. Among them, the impedance matching network can be realized by a simple load circuit (such as series and parallel connection between resistors, capacitors, and inductors). This network can achieve conjugate matching between the antenna impedance Za and the load circuit impedance Zc, thereby maximizing the energy transmitted from the antenna to the load circuit; the receiving module can be realized by a low-power envelope detector and a signal comparator, whose input is the RF signal received by the antenna and whose output is a digital baseband signal; the energy collection and management module can be composed of a rectifier, a voltage limiting circuit, and a voltage stabilizing circuit. This module can convert the RF signal into electrical energy and provide a stable DC voltage for the load circuit; the modulation module (or backscatter modulation module) is composed of a circuit with variable impedance. This module can change the circuit impedance to make the input impedance of the entire load circuit mismatch with the antenna impedance, thereby achieving the purpose of increasing the reflection coefficient of the Ambient-IoT device and causing part of the input RF signal to be reflected back. The change in its impedance can be controlled by the signal processing module. A common implementation method is to change the impedance by switching the switch; the signal processing module can demodulate and\or decode the digital baseband signal generated by the receiving module, and can control the modulation module to perform backscatter transmission. It can be seen that, Figure 4 The existing Ambient-IoT device shown does not distinguish between the frequency bands in which it transmits and receives signals. In other words, all signals received by the antenna are input to the receiving module or reflected. It is worth noting that in specific implementations, the antenna may be co-designed with the impedance matching network, that is, the impedance matching network is not separately labeled. In specific implementations, other unlabeled modules may be included, such as sensors, clock recovery circuits, and startup signal generation circuits. In specific implementations, these modules may have different names, such as the energy harvesting and management module may also be called the power recovery circuit.

[0111] However, how Ambient-IoT devices operate on the licensed spectrum of cellular networks is a problem that needs to be solved.

[0112] For cellular-based Ambient-IoT devices, the frequency bands for signal transmission and reception may be located in the same frequency band or in different frequency bands. For example, when an Ambient-IoT device operates in the Frequency Division Duplexing (FDD) band, if the network node communicating with it is a base station (BS), then its signal reception needs to be performed in the downlink part of the FDD band, because regulations restrict BS to transmit only in the downlink band; if the network node communicating with it is a user equipment (UE), then its signal reception needs to be performed in the uplink part of the FDD band, because regulations restrict UE to transmit only in the uplink band. When using Figure 4 In the existing Ambient-IoT device architecture shown above, to simultaneously communicate with the base station and the UE, the Ambient-IoT device must operate in a wide frequency band covering the FDD uplink, guard band, and downlink. Because the received signal bandwidth is much smaller than the device's operating bandwidth, signals in other frequency bands will significantly interfere with the received signal, severely affecting downlink reception performance.

[0113] The following combination Figure 5-Figure 20 The specific architecture of the electronic device in the wireless communication network provided by the embodiment of the present disclosure is described.

[0114] Specifically, if Figure 5 As shown, the electronic device in the wireless communication network provided by the embodiment of the present disclosure can be an ambient Internet of Things (A-IoT) device, and the A-IoT device can communicate with other nodes in the communication network, such as communicating with the network node BS, communicating with the network node UE, etc.

[0115] This paper proposes an Ambient-IoT device architecture based on a filtering network, which can enable it to work flexibly in different scenarios without significantly increasing the complexity and power consumption of the device.

[0116] An Ambient-IoT device architecture based on a filtering network can include at least two filtering networks, and can control the frequency bands at which the Ambient-IoT device operates during signal reception and transmission by switching the filtering networks. Among them, each filtering network can be implemented by a simple load circuit (such as the series and parallel connection of resistors, capacitors, and inductors), and different filtering networks can achieve different frequency band filtering functions. That is, signals within the passband bandwidth of the filtering network can pass through almost without attenuation, while signals outside the passband bandwidth will be attenuated to a certain extent, and the attenuation degree depends on the roll-off characteristic of the filtering network. The frequency response characteristic of each filtering network is determined by the frequency range of its target operating frequency band, the frequency band bandwidth, and the frequency offset Foffset. Among them, the frequency offset Foffset is related to the passband symmetry of the filtering network: the worse the passband symmetry (the farther the center frequency of the passband is from the center frequency band of the operating frequency band), the larger Foffset; the better the passband symmetry (the closer the center frequency of the passband is to the center frequency band of the operating frequency band), the smaller Foffset; when the passband is completely centrosymmetric, Foffset = 0. For example, for a certain filtering network, the frequency range of its target operating frequency band is F1~F2 (F1 < F2), and the bandwidth is BF1 = F2–F1, then the passband bandwidth of this filtering network is BF1, and the center frequency point is F1 + BF1 / 2 ± Foffset. Among them, the target operating frequency band can be an energy reception frequency band, that is, the radio frequency signals received by the Ambient-IoT device in this frequency band can be used to power itself; the target operating frequency band can be the Ambient-IoT downlink frequency band (also called the signal reception frequency band), that is, the Ambient-IoT device demodulates the radio frequency signals received in this frequency band; the target operating frequency band can also be the Ambient-IoT uplink frequency band (also called the signal transmission frequency band), that is, the Ambient-IoT device transmits (or reflects) signals in this frequency band.

[0117] In a specific embodiment, the antenna and the filtering network can be co-designed in a module. In a specific embodiment, the impedance matching circuit can be co-designed with the antenna or can be located in the filtering network. In a specific embodiment, the filtering networks can be in parallel or in series.

[0118] In one example, the A-IoT device can include a first filtering network and a second filtering network.

[0119] Optionally, as Figure 6 shown, the first filtering network (such as Figure 6The filter network 1 shown in FIG. 1 can be configured to filter the first RF signal (RF signal received by the antenna) and send the filtered first RF signal to the first module for receiving the signal (also referred to as the receiving module). Accordingly, the operating frequency band of the first filter network includes the signal receiving frequency band of the A-IoT device. The second filter network (such as FIG. Figure 6 The filtering network 2 shown can be configured to filter the second RF signal (the RF signal emitted outward) and send the filtered second RF signal to a second module for controlling signal reflection (also referred to as a transmitting module or a modulating module). Accordingly, the operating frequency band of the second filtering network includes the signal transmission frequency band of the A-IoT device.

[0120] Optionally, the A-IoT device can operate on the FDD frequency band. Accordingly, the working frequency band of the first filtering network includes the FDD downlink frequency band or the FDD uplink frequency band including the signal receiving frequency band of the A-IoT device, and the working frequency band of the second filtering network includes the FDD uplink frequency band including the signal transmitting frequency band of the A-IoT device.

[0121] Optionally, to accommodate situations where an A-IoT device uses energy harvesting technology to obtain energy from the surrounding environment and power itself, the disclosed embodiments further provide the following feasible architectures:

[0122] Example 1: Figure 6 As shown, the first filtering network can also send the filtered first RF signal to a third module (also known as an energy collection and energy management module, a power recovery module) for converting the signal into electrical energy; and / or, the second filtering network can also send the filtered second RF signal to the third module.

[0123] Example 2: The A-IoT device is further configured with a third filtering network (e.g. Figure 9 The filter network 3 shown in Figure 11 The filter network 3 shown in Figure 13 The filter network 1 shown in Figure 14 The filter network 1 shown in Figure 15 The third filtering network can be configured to filter the third RF signal and transmit the filtered third RF signal to a third module for converting the signal into electrical energy. The third RF signal can include different signals to suit different design architectures. Optionally, the third RF signal can include at least one of the first RF signal, the second RF signal, and another RF signal.

[0124] In one example, if Figure 13 As shown, the first filter network and the second filter network can also be configured as the same filter network, that is, through the same filter network ( Figure 13The filter network 2 shown in FIG2 is connected to the first module and the second module, and is connected to the first module and the second module through another filter network (the third filter network, Figure 13 The filter network 1) shown is connected to the third module.

[0125] In one example, adapted to the operating frequency band of a filter network connected to a third module in an A-IoT device, when the A-IoT device operates in an FDD frequency band, the operating frequency band of the filter network connected to the third module includes at least one of an FDD downlink frequency band, a guard band, and an FDD uplink frequency band. Accordingly, the operating frequency band of the filter network connected to the third module includes at least one of the FDD downlink frequency band, the guard band, and the FDD uplink frequency band, including the energy receiving frequency band of the A-IoT device.

[0126] In one embodiment, when the A-IoT device is configured with two filter networks, the filter networks may be connected in parallel. In this structure, the connection relationship between the filter networks and the antenna may include one of the following:

[0127] Connection relationship 1. Each filter network can be connected to the same antenna through a switch element; Figure 6 shown.

[0128] Connection relationship 2. Each filter network is connected to a different antenna; Figure 12 、 Figure 13 shown.

[0129] In one embodiment, when the A-IoT device is configured with a first filtering network, a second filtering network, and a third filtering network, each filtering network may be connected in parallel. In this structure, the connection relationship between each filtering network and the antenna may include one of the following:

[0130] Connection relationship 1: The first filter network, the second filter network and the third filter network are connected to the same antenna through a switch element; Figure 9 shown.

[0131] Connection relationship 2: The first filter network and the second filter network are connected to the first antenna through a switch element, and the third filter network is connected to the first antenna (such as Figure 11 ) or the second antenna (as Figure 14 as shown) connection.

[0132] Connection relationship 3: The first filter network, the second filter network and the third filter network are connected to different antennas respectively, such as Figure 12 shown.

[0133] In one embodiment, the first and second filter networks configured in the A-IoT device can be connected in series. Based on this structure, the input end of one of the filter networks is connected to the antenna. To switch the filter network for communication, the A-IoT device can also connect switching elements in parallel with the configured filter networks. Optionally, one of the following design structures can be included:

[0134] Structure 1: The A-IoT device includes a switch element connected in parallel with one of the filter networks. Accordingly, the operating frequency band of the filter network that is not connected in parallel with the switch element also includes the energy receiving frequency band of the A-IoT device. For example, Figure 16 As shown, the first filter network (such as Figure 16 The filter network 1 shown is connected to the antenna, and the second filter network (such as Figure 16 The filter network 2 shown is connected in series with the first filter network, and the switch element is connected in parallel with the second filter network. The switch element can be controlled to select whether the filter network used is a combination of filter network 1 and filter network 2, or to use filter network 1.

[0135] Structure 2, the A-IoT device includes a switch element connected in parallel with the first filter network and the second filter network respectively; Figure 17 As shown, each filter network is connected in parallel with a switch element. For example, by controlling switch 1 to be open and switch 2 to be closed, filter network 1 can be used; by controlling switch 1 to be closed and switch 2 to be open, filter network 2 can be used; and by controlling switches 1 and 2 to be open, a combination of filter network 1 and filter network 2 can be used.

[0136] The following are some feasible embodiments of the A-IoT device architecture provided by the present disclosure.

[0137] An embodiment of an Ambient-IoT device based on the present disclosure is as follows Figure 6 As shown. The device architecture includes an antenna, a switch, a filter network 1, a filter network 2, a receiving module, an energy collection and management module, a modulation module, and a signal processing module. In a specific implementation, optionally, the device may include other unlabeled modules, such as a sensor, a clock recovery circuit, a start signal generation circuit, etc. In a specific implementation, these modules may have different names, such as the energy collection and management module may also be called a power recovery circuit. The switch can be controlled by the signal processing module to switch to the filter network 1 or the filter network 2. In one possible implementation, as Figure 7As shown, the passband bandwidth of filter network 1 is the bandwidth of the FDD downlink frequency band in which the device operates, and the passband bandwidth of filter network 2 is the bandwidth of the FDD uplink frequency band in which the device operates. For filter network 1 with a centrosymmetric passband, the center frequency of its passband can be the center frequency of the FDD downlink frequency band; for filter network 1 with a non-centrosymmetric passband, the center frequency of its passband can be the center frequency of the FDD downlink frequency band ±Foffset1, where Foffset1 is related to the passband symmetry of filter network 1. For filter network 2 with a centrosymmetric passband, the center frequency of its passband can be the center frequency of the FDD uplink frequency band; for filter network 2 with a non-centrosymmetric passband, the center frequency of its passband can be the center frequency of the FDD uplink frequency band ±Foffset2, where Foffset2 is related to the passband symmetry of filter network 2.

[0138] If the device is communicating with a base station (BS), filter network 1 corresponds to Ambient-IoT downlink frequency band 1 and the energy receiving frequency band, while filter network 2 corresponds to Ambient-IoT uplink frequency band and the energy receiving frequency band. When the switch is switched to filter network 1, the broadband RF signal received by the antenna passes through filter network 1, and only the narrowband signal corresponding to the downlink portion of the FDD frequency band passes through without attenuation. Part of this signal enters the receiving module, and part enters the energy receiving and management module. When the switch is switched to filter network 2, the signal processing module adjusts the impedance of the modulation module to control the antenna reflection coefficient, modulating information for transmission in the FDD uplink frequency band, while also using the unreflected signal for energy harvesting. If the device is communicating with a user equipment (UE), filter network 2 corresponds to the Ambient-IoT uplink frequency band, the A-IoT downlink frequency band, and the energy receiving frequency band. When the switch is switched to filter network 2, the signal processing module adjusts the impedance of the modulation module to control the antenna reflection coefficient, controlling the device to receive or reflect signals only in the uplink portion of the FDD frequency band, while also using some of the unreflected signal for energy harvesting.

[0139] This implementation enables the Ambient-IoT device to control the frequency band in which it receives signals simply by adjusting the impedance of the switch and modulation module. Therefore, the receiving module and signal processing module only need to process narrowband signals, avoiding the influence of out-of-band interference generated by other frequencies, allowing the device to operate flexibly in different application scenarios.

[0140] In such Figure 6 In the Ambient-IoT device architecture shown, the filter network 2 can also be a broadband filter network with a passband bandwidth including the FDD downlink frequency band, the guard band and the FDD uplink frequency band or a wider frequency band. Figure 8As shown, the center frequency of filter network 2 may fall within the protection band. In this embodiment, the Ambient-IoT device has the widest energy receiving frequency band. When the switch is switched to filter network 2, the energy harvesting module can harvest energy within a wider frequency band, thereby more efficiently generating the power required for circuit operation.

[0141] In another feasible implementation, the Ambient-IoT device architecture may include three filtering networks, corresponding to three operating frequency bands. Figure 9 and 10 As shown, filter network 1 and filter network 2 correspond to the FDD downlink and uplink frequency bands, respectively, and are connected to the receiving module and energy collection and management module, respectively, for receiving downlink signals sent to the Ambient-IoT device in the corresponding frequency bands. Filter network 3 is a broadband filter network with a passband bandwidth that includes the FDD downlink frequency band, guard band, and FDD uplink frequency band or a wider frequency band. It is connected to the energy collection and management module and the modulation module to provide energy to the Ambient-IoT device and reflect the uplink signal. In this implementation, the Ambient-IoT device can operate in scenarios where it communicates with the base station or the user equipment (UE), and collects RF energy over a wider frequency band.

[0142] In another possible embodiment, Figure 11 As shown. At this time, filter network 1 is connected to the receiving module and is only used to receive downlink signals sent to the Ambient-IoT device on the corresponding frequency band. Its passband is the FDD downlink frequency band including the IoT downlink frequency band. Filter network 3 is connected to the energy collection and management module and is only used to charge the Ambient-IoT device. Its passband is the energy receiving frequency band, including the FDD downlink frequency band and / or the protection band and / or the FDD uplink frequency band including the Ambient-IoT uplink frequency band. Filter network 2 is connected to the receiving module and the modulation module, and can control the Ambient-IoT device to reflect signals on the FDD uplink frequency band through the modulation module. Its corresponding passband is the FDD uplink frequency band including the Ambient-IoT uplink frequency band and / or the Ambient-IoT downlink frequency band. In this implementation, the Ambient-IoT device can operate in a scenario of communicating with a BS or a UE, and by decoupling the filter network 3 from the receiving module and the transmitting module, the Ambient-IoT device can harvest energy over a wide frequency band without affecting its signal transmission and reception performance, thereby further extending the communication distance of the Ambient-IoT device.

[0143] In addition to the above embodiments, the Ambient-IoT device architecture provided by the present disclosure can also be implemented through a combination of multiple antennas and / or filtering networks.

[0144] In one possible implementation, Figure 12 As shown, the Ambient-IoT device has two antennas and two filtering networks. Antenna 1 is connected to filtering network 1. The operating bandwidth of the Ambient-IoT device is the FDD downlink band that includes the Ambient-IoT downlink band. It is connected to the receiving module and the energy harvesting and management module, and is used to provide energy to the Ambient-IoT device and receive downlink signals sent to the Ambient-IoT device in the corresponding frequency band. Antenna 2 is connected to filtering network 2. Its corresponding passband bandwidth is the bandwidth of the FDD uplink band that includes the Ambient-IoT uplink band and / or the Ambient-IoT downlink band. It is connected to the receiving module, the energy harvesting and management module, and the modulation module, and is used to provide energy to the Ambient-IoT device, receive signals transmitted by the UE to the Ambient-IoT device in the FDD uplink band when communicating with the UE, and reflect uplink signals through the modulation module. This model supports the coordinated design of antennas and filtering networks, eliminating the need for a separate filtering network module, making it easier to implement. It also supports communication between the Ambient-IoT device and both the base station and the user equipment (UE), making it flexible and adaptable to different operating scenarios.

[0145] In another embodiment of 2 antennas + 2 filter networks, as shown in FIG. Figure 13 As shown, antenna 1 is connected to filter network 1 and energy collection management module, and is used to collect energy for Ambient-IoT devices. At this time, the passband of filter network 1 corresponds to the energy receiving frequency band, including FDD downlink frequency band and / or protection band and / or FDD uplink frequency band including Ambient-IoT uplink frequency band; antenna 2 is connected to filter network 2, receiving module and modulation module, and receives the UE transmitted to the Ambient-IoT device in the FDD uplink frequency band when communicating with the UE, and reflects the uplink signal through the modulation module. At this time, the passband of filter network 2 corresponds to the FDD uplink frequency band including the Ambient-IoT uplink frequency band and the Ambient-IoT downlink frequency band. In this implementation method, antenna 1 can be used to collect energy for Ambient-IoT devices, which can effectively improve the energy collection efficiency of Ambient-IoT devices without additionally extracting energy from the received signal and the reflected signal, thereby further extending the communication distance of the Ambient-IoT device.

[0146] In a feasible implementation, the Ambient-IoT device may have two antennas and three filtering networks, such as Figure 14As shown. Antenna 1 is connected to filter network 1 and energy collection management module, and is used to collect energy for Ambient-IoT devices. Its passband corresponds to the energy receiving frequency band, including the FDD downlink frequency band and / or the guard band and / or the FDD uplink frequency band. Antenna 2 is connected to filter network 2 and filter network 3, wherein filter network 2 is further connected to the receiving module, and is used to receive downlink signals sent to Ambient-IoT devices in the corresponding frequency band. Its passband corresponds to the Ambient-IoT downlink frequency band and the FDD downlink frequency band. Filter network 3 is further connected to the receiving module and the modulation module, and is used to provide energy to the Ambient-IoT device, receive signals transmitted by the UE to the Ambient-IoT device in the FDD uplink frequency band when communicating with the UE, and reflect uplink signals through the modulation module. Its passband corresponds to the FDD uplink frequency band including the Ambient-IoT uplink frequency band and / or the Ambient-IoT downlink frequency band. In this implementation, antenna 1 can be used to harvest energy for the Ambient-IoT device, effectively improving its energy harvesting efficiency without extracting additional energy from received and reflected signals. This further extends the communication range of the Ambient-IoT device. It also supports communication between the Ambient-IoT device and both the base station and the user equipment (UE), providing flexibility in different operating scenarios.

[0147] In a feasible implementation, the Ambient-IoT device may have three antennas and three filtering networks, such as Figure 15As shown. Antenna 1 is connected to filter network 1 and the energy collection and management module, and is used to collect energy for the Ambient-IoT device. Its passband corresponds to the energy receiving frequency band, including the FDD downlink frequency band and / or the protection band and / or the FDD uplink frequency band including the Ambient-IoT uplink frequency band. Antenna 2 is connected to filter network 2 and the receiving module, and is used to receive downlink signals sent to the Ambient-IoT device on the corresponding frequency band. Its passband corresponds to the FDD downlink frequency band including the Ambient-IoT downlink frequency band. Antenna 3 is connected to filter network 3, the receiving module and the modulation module, and is used to provide energy to the Ambient-IoT device, receive signals transmitted by the UE to the Ambient-IoT device on the FDD uplink frequency band when communicating with the UE, and reflect uplink signals through the modulation module. Its passband corresponds to the FDD uplink frequency band including the Ambient-IoT uplink frequency band and / or the Ambient-IoT downlink frequency band. In this implementation, antenna 1 can be used to harvest energy for the Ambient-IoT device, effectively improving the energy harvesting efficiency of the Ambient-IoT device without extracting additional energy from the received and reflected signals. This can further extend the communication distance of the Ambient-IoT device. It also supports communication between the Ambient-IoT device and the BS and UE, enabling flexible adaptation to different working scenarios. It also supports the collaborative design of the antenna and the filtering network, eliminating the need for a separate filtering network module, making implementation easier.

[0148] In addition to the above embodiments, the filtering network in the Ambient-IoT device architecture provided by the present disclosure may also be connected in series.

[0149] In one possible implementation, Figure 16 As shown. The signal processing module can select whether the filter network used is a combination of filter network 1 and filter network 2 or only filter network 1 by controlling the on and off of the switch. The on and off of the switch corresponds to the filtering effects of two different frequency bands. For example, when the switch is off, the operating frequency band of the Ambient-IoT device is the passband of the combination of filter network 1 and filter network 2, which can be the FDD downlink frequency band or the FDD uplink frequency band; when the switch is closed, the operating frequency band of the Ambient-IoT device is the passband of filter network 1, corresponding to the energy receiving frequency band, including the FDD downlink frequency band and / or the protection band and / or the FDD uplink frequency band including the Ambient-IoT uplink frequency band. Compared with the parallel filter network, the series filter network allows the sharing of some components, thereby further reducing the cost of the Ambient-IoT device.

[0150] In another feasible implementation, there are two switches, which respectively control the connection of the filter network 1 and the filter network 2. Figure 17As shown in the figure, filter network 1 and filter network 2 correspond to different operating bandwidths. For example, when switch 1 is off and switch 2 is on, filter network 1 is used, and the Ambient-IoT device operates in the FDD uplink band, receiving and reflecting signals within that band. When switch 1 is on and switch 2 is off, filter network 2 is used, and the Ambient-IoT device operates in the FDD downlink band, receiving signals within that band. When both switches 1 and 2 are on, the Ambient-IoT device operates in the antenna's receive band, allowing it to receive signals across a wider bandwidth to power the Ambient-IoT device. This design ensures the Ambient-IoT device's reception reliability and reduces interference to other users, while also further improving the device's charging efficiency.

[0151] This disclosure also proposes a receiving module design based on a baseband power amplifier and a filtering network, so that Ambient-IoT devices equipped with this receiving module can amplify the received signal through a low-power power amplifier, thereby improving the receiving module's demodulation capability for small signals; at the same time, the presence of the baseband filter enables the device to accurately receive signals in the presence of in-band interference.

[0152] A feasible implementation of the receiving module is as follows Figure 18 As shown, it includes an envelope detector, a baseband power amplifier, a baseband filter network, and a comparator. Among them, the baseband power amplifier can amplify the baseband signal output by the envelope detector, and the baseband filter network can perform low-pass filtering on its input signal, and this is achieved through a simple load circuit. Among them, the passband bandwidth of the baseband filter network should not exceed half of the maximum bandwidth allocated by the network to the Ambient-IoT downlink service (signal reception), and should not be less than half of the minimum bandwidth allocated by the network to the Ambient-IoT downlink service. For example, an FDD downlink frequency band with a total operating bandwidth of 10MHz can have an effective bandwidth that can be divided into 50 physical resource blocks (PRBs), each PRB is 180kHz. If the network stipulates that the Ambient-IoT downlink service can only be carried out on 10 of the PRBs, and the minimum bandwidth is 1 PRB, then the passband bandwidth of the baseband filter network should be greater than or equal to 0.5PRB and less than or equal to 5 PRBs. This implementation enables the baseband filtering network to simultaneously filter the broadband noise / interference generated by the baseband power amplifier, further improving the signal-to-interference-and-noise ratio (SINR) of the signal input to the comparator.

[0153] For example, when the broadband radio frequency signal received by the antenna passes through the aforementioned filter network 1 of the present disclosure and reaches the receiving module, the input of the receiving module is a radio frequency signal within the passband bandwidth of the filter network 1, such as Figure 19 This may include useful signals distributed near the center of the passband of filter network 1 (or signals that the Ambient-IoT device needs to demodulate), as well as interference signals distributed on both sides of the passband of filter network 1 (such as signals from other users). After passing through the envelope detector, the input signal has its high-frequency components removed and moved to the baseband. At this time, the baseband bandwidth also includes useful and interference signals. After passing through the baseband power amplifier and filtering network, the signal components input to the comparator are mainly the amplified useful signal and the interference and noise remaining from the filter, so it can be correctly demodulated by the Ambient-IoT device.

[0154] Another feasible way to implement the receiving module is as follows Figure 20 As shown in the figure, the baseband filter network is placed before the baseband power amplifier. This implementation allows the baseband power amplifier to compensate for the power loss of the filtered signal to a certain extent.

[0155] It should be noted that the optional solutions provided in the above-mentioned various embodiments of the present disclosure can be implemented separately. If the implementation steps of different embodiments do not conflict, the embodiments or steps of the embodiments can also be implemented in combination.

[0156] Based on the same inventive concept, the embodiment of the present disclosure further provides a method executed by an electronic device in a wireless communication system, which can be applied to the electronic device in the communication system provided by the above embodiment; specifically, Figure 21 As shown, the method may include at least one of the following S101-S102:

[0157] S101: Filter a first radio frequency signal through a first filtering network, and send the filtered first radio frequency signal to a first module for receiving signals, where an operating frequency band of the first filtering network includes a signal receiving frequency band of an A-IoT device;

[0158] S102: Filter the second RF signal through a second filtering network, and send the filtered second RF signal to a third module for controlling signal reflection, where the operating frequency band of the second filtering network includes the signal transmission frequency band of the A-IoT device.

[0159] Alternatively, as Figure 6 As shown, assuming that the first filter network corresponds to filter network 1 and the second filter network corresponds to filter network 2, different filter networks can be switched by controlling the switch to perform signal reception or signal transmission.

[0160] Alternatively, as Figure 13 As shown, assuming that the first filter network and the second filter network belong to the filter network 2, different filter networks can be switched by controlling the switch to perform energy collection or signal reception and signal transmission.

[0161] In one embodiment, the method provided by the embodiment of the present disclosure may further include at least one of the following S103-S104:

[0162] S103: Sending the filtered first radio frequency signal to a third module for converting the signal into electrical energy through the first filtering network;

[0163] S104: Send the filtered second RF signal to the third module through the second filtering network.

[0164] Alternatively, as Figure 6 、 Figure 9 、 Figure 12 As shown, the filter network 1 connected to the first module can also be connected to the third module. On this basis, the filter network 1 can also send the filtered first RF signal to the third module, so that the third module converts the filtered first RF signal into electrical energy. In addition, the filter network 2 connected to the second module can also be connected to the third module. On this basis, the filter network 2 can also send the filtered second RF signal to the third module, so that the third module converts the filtered second RF signal into electrical energy.

[0165] In one embodiment, the method provided by the embodiment of the present disclosure may further include S105:

[0166] S105: Filter the third RF signal through a third filtering network, and send the filtered third RF signal to a third module for converting the signal into electrical energy, wherein the operating frequency band of the third filtering network includes the energy receiving frequency band of the A-IoT device; the third RF signal includes at least one of the first RF signal, the second RF signal and other RF signals.

[0167] Alternatively, as Figure 9 、 Figure 11 、 Figure 13 、 Figure 14 and Figure 15 As shown, on the basis that the A-IoT device is configured with a third filtering network, energy can also be harvested through the third filtering network to effectively improve the energy harvesting efficiency of the A-IoT device. At the same time, there is no need to extract energy from the received signal and the reflected signal, which can extend the communication distance of the A-IoT device.

[0168] In one embodiment, the method provided by the embodiment of the present disclosure may further include S106:

[0169] S106: Switch different filter networks to communicate with the antenna by controlling the switch elements connected in series or in parallel with each filter network.

[0170] Alternatively, as Figure 6 As shown, the connection relationship between the switch and each filter network can be controlled by the signal processing module to switch to different filter networks for communication. If the A-IoT device communicates with the BS, and the switch is connected to the first filter network (filter network 1), the broadband RF signal received by the antenna passes through the filter network 1, and the narrowband signal corresponding to the downlink part of the FDD frequency band is able to pass without attenuation, wherein part of the signal enters the receiving module and part of the signal enters the energy receiving and management module; when the switch is switched to the second filter network (filter network 2), the signal processing module can control the antenna reflection coefficient by adjusting the impedance of the modulation module to modulate the information and transmit it in the FDD uplink frequency band, while using the signal that is not reflected to collect energy. If the A-IoT device communicates with the UE, and the switch is switched to the filter network 2, the signal processing module can control the antenna reflection coefficient by adjusting the impedance of the modulation module to control the device to receive or reflect the signal only in the uplink part of the FDD frequency band, while using part of the signal that is not reflected to collect energy.

[0171] Alternatively, as Figure 16 As shown, the switch can be controlled by the signal processing module to determine whether to use the filter network 1 for communication or a combination of the filter network 1 and the filter network 2 for communication.

[0172] Based on the same inventive concept, an embodiment of the present disclosure further provides a wireless communication system, which includes the electronic device (such as an Ambient-IoT device) provided in the above embodiment.

[0173] An embodiment of the present disclosure also provides an electronic device, such as an A-IoT device in the above-mentioned wireless communication system, which includes at least one transceiver and at least one processor coupled to the at least one transceiver, and the at least one processor is configured to execute the method provided in any optional embodiment of the present disclosure.

[0174] Figure 22 FIG. 1 shows a schematic diagram of the structure of an electronic device to which the embodiment of the present disclosure is applicable. Figure 22 As shown, Figure 22The electronic device 4000 shown includes: a processor 4001 and a memory 4003. The processor 4001 and the memory 4003 are connected, such as through a bus 4002. Optionally, the electronic device 4000 may further include a transceiver 4004, which may be used for data interaction between the electronic device and other electronic devices, such as data transmission and / or data reception. It should be noted that in actual applications, the transceiver 4004 is not limited to one, and the structure of the electronic device 4000 does not constitute a limitation on the embodiments of the present disclosure. Optionally, the electronic device may be a node in a wireless communication system, such as an Ambient-IoT device, and the node in the network may be a user device, or a base station or other network node.

[0175] Processor 4001 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the present disclosure. Processor 4001 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

[0176] Bus 4002 may include a path for transmitting information between the above components. Bus 4002 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. Bus 4002 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 22 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0177] The memory 4003 can be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media, other magnetic storage devices, or any other medium that can be used to carry or store computer programs and can be read by a computer, without limitation here.

[0178] The memory 4003 is used to store the computer program for executing the embodiments of the present disclosure, and the execution is controlled by the processor 4001. The processor 4001 is used to execute the computer program stored in the memory 4003 to implement the steps shown in the above method embodiments.

[0179] An embodiment of the present disclosure provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps and corresponding contents of the aforementioned method embodiment can be implemented.

[0180] The embodiments of the present disclosure further provide a computer program product, including a computer program, which can implement the steps and corresponding contents of the aforementioned method embodiments when executed by a processor.

[0181] The terms "first," "second," "third," "fourth," "1," "2," and the like (if any) in the description and claims of the present disclosure and the accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a particular order or sequential sequence. It should be understood that the terms used in this manner are interchangeable where appropriate, such that the embodiments of the present disclosure described herein can be practiced in an order other than that shown or described.

[0182] It should be understood that, although the flowcharts of the embodiments of the present disclosure indicate the various operation steps by arrows, the order of implementation of these steps is not limited to the order indicated by the arrows. Unless otherwise clearly stated herein, in some implementation scenarios of the embodiments of the present disclosure, the implementation steps in each flowchart can be performed in other orders as required. In addition, some or all of the steps in each flowchart may include multiple sub-steps or multiple stages based on the actual implementation scenario. Some or all of these sub-steps or stages can be executed at the same time, and each sub-step or stage in these sub-steps or stages can also be executed at different times. In scenarios where the execution times are different, the order of execution of these sub-steps or stages can be flexibly configured as required, and the embodiments of the present disclosure do not limit this.

[0183] The above text and drawings are provided as examples only to help readers understand the present disclosure. They are not intended to, and should not be interpreted as, limiting the scope of the present disclosure in any way. Although certain embodiments and examples have been provided, it will be apparent to those skilled in the art based on the content disclosed herein that, without departing from the scope of the present disclosure, the illustrated embodiments and examples may be modified and other similar implementations based on the technical concepts of the present disclosure may be adopted, which also fall within the scope of protection of the embodiments of the present disclosure.

Claims

1. An A-IoT device in a wireless communication system, characterized in that: including a first filtering network and a second filtering network; The first filtering network is configured to filter the first radio frequency signal and send the filtered first radio frequency signal to a first module for receiving a signal, and the operating frequency band of the first filtering network includes the signal receiving frequency band of the A-IoT device; The second filtering network is configured to filter the second RF signal and send the filtered second RF signal to a second module for controlling signal reflection. The operating frequency band of the second filtering network includes the signal transmission frequency band of the A-IoT device.

2. The A-IoT device according to claim 1, wherein: The operating frequency band of the first filter network includes the FDD downlink frequency band or the FDD uplink frequency band, and the operating frequency band of the second filter network includes the FDD uplink frequency band; Among them, the working frequency band of the first filtering network includes the FDD downlink frequency band or the FDD uplink frequency band including the signal receiving frequency band of the A-IoT device, and the working frequency band of the second filtering network includes the FDD uplink frequency band including the signal transmitting frequency band of the A-IoT device.

3. The A-IoT device according to claim 1, wherein: The first filtering network further sends the filtered first RF signal to a third module for converting the signal into electrical energy; and / or The second filtering network further sends the filtered second RF signal to the third module.

4. The A-IoT device according to claim 1, wherein: It also includes a third filtering network, which is configured to filter the third RF signal and send the filtered third RF signal to a third module for converting the signal into electrical energy. The operating frequency band of the third filtering network includes the energy receiving frequency band of the A-IoT device; the third RF signal includes at least one of the first RF signal, the second RF signal and other RF signals.

5. The A-IoT device according to claim 4, characterized in that The first filter network and the second filter network are the same filter network.

6. The A-IoT device according to claim 4 or 5, characterized in that The operating frequency band of the filtering network connected to the third module includes at least one of an FDD downlink frequency band, a guard band, and an FDD uplink frequency band; the operating frequency band of the filtering network connected to the third module includes at least one of an FDD downlink frequency band, a guard band, and an FDD uplink frequency band, including the energy receiving frequency band of the A-IoT device.

7. The A-IoT device according to claim 1 or 5, characterized in that The filter networks are connected in parallel, and the filter networks are switched and connected to the same antenna through a switch element, or the filter networks are connected to different antennas respectively.

8. The A-IoT device according to claim 4, wherein: The first filter network, the second filter network, and the third filter network are connected in parallel, and the connection relationship between each filter network and the antenna includes one of the following: The first filter network, the second filter network and the third filter network are switched and connected to the same antenna via a switch element; The first filter network and the second filter network are connected to the first antenna through a switching element, and the third filter network is connected to the first antenna or the second antenna; The first filter network, the second filter network and the third filter network are respectively connected to different antennas.

9. The A-IoT device according to claim 1, wherein: The first filter network and the second filter network are connected in series, wherein an input end of one of the filter networks is connected to the antenna; The A-IoT device further includes a switch element connected in parallel to one of the filter networks, and the operating frequency band of the filter network not connected in parallel to the switch element also includes the energy receiving frequency band of the A-IoT device; or The A-IoT device further includes a switching element connected in parallel with the first filtering network and the second filtering network respectively.

10. The A-IoT device according to claim 1, wherein: The first module includes an envelope detector, a baseband power amplifier, a baseband filter network and a comparator connected in series, or includes an envelope detector, a baseband filter network, a baseband power amplifier and a comparator connected in series.

11. The A-IoT device according to claim 10, wherein: The passband bandwidth of the baseband filtering network is no greater than half of the maximum signal reception bandwidth associated with A-IoT and / or no less than half of the minimum signal reception bandwidth associated with A-IoT.

12. A method performed by an A-IoT device in a wireless communication system, characterized in that: Include at least one of the following: Filtering the first radio frequency signal through a first filtering network, and sending the filtered first radio frequency signal to a first module for receiving a signal, wherein the operating frequency band of the first filtering network includes the signal receiving frequency band of the A-IoT device; The second RF signal is filtered through a second filtering network, and the filtered second RF signal is sent to a third module for controlling signal reflection. The operating frequency band of the second filtering network includes the signal transmission frequency band of the A-IoT device.

13. The method according to claim 12, characterized in that The operating frequency band of the first filter network includes the FDD downlink frequency band or the FDD uplink frequency band, and the operating frequency band of the second filter network includes the FDD uplink frequency band; Among them, the working frequency band of the first filtering network includes the FDD downlink frequency band or the FDD uplink frequency band including the signal receiving frequency band of the A-IoT device, and the working frequency band of the second filtering network includes the FDD uplink frequency band including the signal transmitting frequency band of the A-IoT device.

14. The method according to claim 12, characterized in that Also include at least one of the following: sending the filtered first radio frequency signal to a third module for converting the signal into electrical energy through the first filtering network; The filtered second radio frequency signal is sent to the third module through the second filtering network.

15. The method according to claim 12, characterized in that Also includes: The third RF signal is filtered through a third filtering network, and the filtered third RF signal is sent to a third module for converting the signal into electrical energy. The operating frequency band of the third filtering network includes the energy receiving frequency band of the A-IoT device; the third RF signal includes at least one of the first RF signal, the second RF signal and other RF signals.

16. The method according to claim 12 or 15, characterized in that The working frequency band of the filtering network connected to the third module includes at least one of the FDD downlink frequency band, the guard band and the FDD uplink frequency band; the working frequency band of the filtering network connected to the third module includes at least one of the FDD downlink frequency band, the guard band and the FDD uplink frequency band, including the energy receiving frequency band of the A-IoT device.

17. The method according to claim 12, wherein: The first filter network and the second filter network are connected in parallel, and the first filter network and the second filter network are switched and connected to the same antenna through a switch element, or the first filter network and the second filter network are respectively connected to different antennas.

18. The method according to claim 15, characterized in that The first filter network, the second filter network, and the third filter network are connected in parallel, and the connection relationship between each filter network and the antenna includes one of the following: The first filter network, the second filter network and the third filter network are switched and connected to the same antenna via a switch element; The first filter network and the second filter network are connected to the first antenna through a switching element, and the third filter network is connected to the first antenna or the second antenna; The first filter network, the second filter network and the third filter network are respectively connected to different antennas.

19. The method according to claim 12, wherein: The first filter network and the second filter network are connected in series, wherein an input end of one of the filter networks is connected to the antenna; The A-IoT device further includes a switch element connected in parallel to one of the filter networks, and the operating frequency band of the filter network not connected in parallel to the switch element also includes the energy receiving frequency band of the A-IoT device; or The A-IoT device further includes a switching element connected in parallel with the first filtering network and the second filtering network respectively.

20. The method according to claim 12, wherein The first module includes an envelope detector, a baseband power amplifier, a baseband filter network and a comparator connected in series, or includes an envelope detector, a baseband filter network, a baseband power amplifier and a comparator connected in series.

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