Method and device for determining channel information based on reference signal type

Abstract

Various solutions for determining channel information based on reference signal types in mobile communications are described. The apparatus may determine a first metric and a second metric from the first type of reference signal and the second type of reference signal, respectively. The device may compare the first metric to the second metric. The apparatus may determine channel information based on at least one of the first type of reference signal and the second type of reference signal according to a result of comparing the first metric with the second metric.

Description

Technical Field

[0001] This disclosure generally relates to mobile communications, and more specifically, to a device in mobile communications determining channel information based on a reference signal type. Background Technology

[0002] Unless otherwise stated herein, the methods described in this section are not prior art to the claims listed below, and are not acknowledged as prior art by virtue of their inclusion in this section.

[0003] In Long-Term Evolution (LTE) or New Radio (NR) mobile communications, network nodes can transmit Reference Signals (RS) to enable User Equipment (UE) to perform channel acquisition and estimation. The UE can then derive Channel State Information (CSI) based on the RS for coherent demodulation and beamforming. While this method ensures reliable estimation accuracy, it may require dense pilot deployment, consuming more resources (such as time and / or frequency resources), thus introducing significant signaling and resource overhead.

[0004] To reduce signaling and resource overhead while maintaining sufficient channel estimation accuracy, compressed sensing (CS) technology has been introduced for channel acquisition. In CS-based channel sensing, network nodes can transmit reference signals designed according to compressed sensing principles, and the UE can estimate or reconstruct channel-related information based on the received signals. These techniques can obtain the essential channel characteristics by reducing the number of measurements, thus improving overall system efficiency compared to traditional pilot-based methods.

[0005] However, in certain network scenarios, the performance of CS (Curvesing Strategies) may be less reliable. Since CS techniques typically rely on sparsely and stably recovering channel information from limited measurement data, insufficient sparsity or poor signal quality can lead to degraded estimation performance. Consequently, overall system throughput, beamforming gain, or link reliability may be adversely affected.

[0006] Therefore, balancing the reliability of channel estimation and system overhead becomes a critical issue in newly developed wireless communication networks. Consequently, appropriate solutions are needed to balance these two aspects. Summary of the Invention

[0007] The following overview is illustrative only and is not intended to be limiting in any way. That is, it is provided to introduce the concepts, key points, benefits, and advantages of the novel and non-obvious techniques described herein. The chosen embodiments will be further described in detail below. Therefore, the following overview is not intended to identify the essential features of the claimed subject matter, nor is it intended to determine the scope of the claimed subject matter.

[0008] One objective of this disclosure is to propose a solution or approach to address the problem related to determining channel information based on reference signal type in mobile communications.

[0009] In one aspect, a method involves means of determining a first metric and a second metric based on a first type of reference signal and a second type of reference signal, respectively. The method further involves means of comparing the first metric with the second metric. The method further involves means of means of determining channel information based on at least one of the first type of reference signal and the second type of reference signal, according to the result of comparing the first metric with the second metric.

[0010] In one aspect, a method involves means of determining a first type of reference signal and a second type of reference signal. The method also involves means of means of transmitting the first type of reference signal and the second type of reference signal for determining a first metric and a second metric based on the first type of reference signal and the second type of reference signal.

[0011] In one aspect, an apparatus includes a transceiver that wirelessly communicates with a wireless network during operation. The apparatus also includes a processor communicatively coupled to the transceiver. During operation, operations that the processor may perform include determining a first metric and a second metric based on a first type of reference signal and a second type of reference signal, respectively. The processor also performs operations that include comparing the first metric with the second metric. Further operations performed by the processor include determining channel information based on at least one of the first type of reference signal and the second type of reference signal, based on the result of comparing the first metric with the second metric.

[0012] It is worth noting that although the descriptions provided herein may be within the context of certain wireless access technologies, networks, and network topologies, such as LTE, LTE-Advanced, LTE-Advanced Pro, 5th Generation (5G), New Radio (NR), Internet of Things (IoT), Narrow Band Internet of Things (NB-IoT), Industrial Internet of Things (IIoT), and 6th Generation (6G), the proposed concepts, schemes, and any variations / derivatives thereof may be implemented, applied, and carried out in other types of wireless access technologies, networks, and network topologies. Therefore, the scope of this disclosure is not limited to the examples described herein. Attached Figure Description

[0013] The accompanying drawings are included to provide a further understanding of this disclosure, and are incorporated into and constitute a part of this disclosure. The drawings illustrate embodiments of the present disclosure and, together with the description, serve to explain the principles of the disclosure. It will be understood that, in order to clearly illustrate the concepts of the disclosure, the drawings are not necessarily drawn to scale, and some components may be shown out of proportion to their actual dimensions in the embodiments.

[0014] Figure 1 This is a schematic diagram illustrating an example scenario of a solution according to an embodiment of the present disclosure.

[0015] Figure 2 This is a schematic diagram illustrating an example scenario of a solution according to an embodiment of the present disclosure.

[0016] Figure 3 This is a schematic diagram illustrating an example scenario of a solution according to an embodiment of the present disclosure.

[0017] Figure 4 This is a block diagram of a communication system according to an embodiment of the present disclosure.

[0018] Figure 5 This is a flowchart of an example process according to an embodiment of the present disclosure.

[0019] Figure 6 This is a flowchart of an example process according to an embodiment of the present disclosure. Detailed Implementation

[0020] The embodiments and implementations of the claimed subject matter are described in detail below. However, it should be understood that the disclosed embodiments and implementations are merely illustrative of the claimed subject matter implemented in various forms. This disclosure can be implemented in many different forms and should not be construed as limited to the exemplary embodiments and implementations set forth herein. Rather, these exemplary embodiments and implementations are provided so that the description of this disclosure is thorough and complete, and will fully convey the scope of this disclosure to those skilled in the art. In the following description, known features and technical details are omitted to avoid unnecessarily obscuring the presented embodiments and implementations.

[0021] Overview Embodiments of this disclosure relate to various techniques, methods, schemes, and / or solutions for determining channel information based on a reference signal type in a mobile communication device. According to this disclosure, many possible solutions can be implemented individually or in combination. That is, although these possible solutions may be described separately below, two or more of these possible solutions may be implemented in some combination.

[0022] Regarding this disclosure, a network node can determine a first type of reference signal and a second type of reference signal. The network node can transmit the first type of reference signal and the second type of reference signal. Based on the two types of reference signals, the UE can: (1) determine a first metric based on the first type of reference signal, and (2) determine a second metric based on the second type of reference signal. The UE can compare the first metric with the second metric. Based on the result of comparing the first metric with the second metric, the UE can determine channel information based on at least one of the first type of reference signal and the second type of reference signal.

[0023] Therefore, based on the comparison between the first metric and the second metric, the UE can determine the appropriate reference signal type for subsequent channel estimation, thereby achieving a balance between the reliability of channel estimation and system overhead.

[0024] Figure 1 Example scenario 100 according to embodiments of the present disclosure is described. Scenario 100 relates to a network side and one or more UEs, which may be part of a wireless communication network (e.g., an LTE network, a 5G / NR network, an IoT network, or a 6G network). Scenario 100 illustrates a current network framework. The UE may connect to the network side. The network side may include one or more network nodes. For illustrative purposes, a network node and a UE will be described below. However, this does not imply limitation on the network scenarios of the present disclosure.

[0025] In some embodiments, network nodes can determine a first type of reference signal and a second type of reference signal. In some embodiments, the first type of reference signal may be associated with compressed sensing. Specifically, the first type of reference signal can be used for compressed sensing-based channel acquisition, allowing the UE to reconstruct sparse or compressible channel coefficients from a reduced number of measurements. By leveraging the inherent sparsity of the wireless propagation path, the first type of reference signal can achieve accurate estimation of the main channel components with significantly reduced pilot resources, thereby improving spectral efficiency and reducing signaling overhead. Regarding the first type of reference signal, reliable reconstruction may depend on sufficient sparsity and a relatively high signal-to-noise ratio (SNR).

[0026] More specifically, in compressed sensing, the channel acquisition process can be described as an underdetermined linear measurement model. , where Φ represents the sensing matrix determined by the transmitted and received sensing codebooks, h represents a sparse or compressible channel vector, and e represents noise. The UE can solve... Norm minimization or greedy approximation problems (e.g., orthogonal matching pursuit (OMP)) recover h under measurement error constraints. Reliable recovery is guaranteed when the sensing matrix satisfies the restricted isometry property (RIP), ensuring that all K-sparse channel vectors are approximately preserved in Euclidean distance. Therefore, it can be achieved by... Proportional number of measurements enables accurate channel reconstruction, thereby significantly reducing pilot signaling overhead while maintaining estimation accuracy.

[0027] In some implementations, the second type of reference signal can be associated with a conventional reference signal. Specifically, the second type of reference signal can be associated with traditional pilot-based reference signals that are transmitted in a predetermined orthogonal pattern to obtain complete channel information. Even under non-sparse or low SNR conditions, the second type of reference signal can provide robust and stable channel estimation performance.

[0028] In some cases, because all pilot resources may be used for detailed measurements, a second-type reference signal may incur higher overhead than a first-type reference signal. In other cases, a second-type reference signal may provide higher reliability than a first-type reference signal.

[0029] In some implementations, the network node may send a first type of reference signal and a second type of reference signal to the UE. The UE may receive the first type of reference signal and the second type of reference signal from the network node. Based on the two types of reference signals, the UE may: (1) determine a first metric based on the first type of reference signal, and (2) determine a second metric based on the second type of reference signal. In some cases, each of the first metric and the second metric may include a Channel Quality Indicator (CQI) or Reference Signal Received Power (RSRP).

[0030] In some implementations, the UE can compare a first metric with a second metric. Specifically, the UE can compare the difference between the first metric and the second metric with a threshold. Based on the result of comparing the difference between the first metric and the second metric with the threshold, the UE can determine channel information based on at least one of a first type of reference signal and a second type of reference signal.

[0031] In certain situations, when the difference is less than a threshold (i.e., the quality of the first type of reference signal is similar to that of the second type of reference signal), channel information can be determined based on at least one of the first and second types of reference signals. In other words, when the difference is less than a threshold, the UE can use the first type of reference signal and / or the second type of reference signal to determine subsequent channel information, meaning the UE can determine channel information based on compressed sensing-based channel acquisition. Furthermore, the determined channel information can be used for subsequent communication. For example, when the difference is less than a threshold, the UE uses the first type of reference signal to determine subsequent channel information.

[0032] In certain situations, when the difference is equal to or greater than a threshold (i.e., the quality of the first type of reference signal may be dissimilar to that of the second type of reference signal), channel information can be determined based on the second type of reference signal. In other words, when the difference is equal to or greater than a threshold, the UE can use the second type of reference signal to determine subsequent channel information, meaning the UE can determine channel information based on conventional reference signal measurements. Furthermore, the determined channel information can be used for subsequent communication.

[0033] Based on the results of comparing the first metric and the second metric, the UE can determine channel information based on at least one of the first type of reference signal and the second type of reference signal.

[0034] Figure 2 Example scenario 200 of a scheme according to an embodiment of this disclosure is described. For example, network nodes are based on codewords. (i.e., pre-encoder) ) through channel The second type of reference signal is sent to the UE. Upon receiving (i.e., measuring) the second type of reference signal, the UE, based on the measured... Determine CQI1. Network nodes communicate via the channel. A first-type reference signal is sent to the UE. After receiving (i.e., measuring) the first-type reference signal, the UE uses the channel obtained from compressed sensing. and coding CQI2 is determined (by pre-configuration of network nodes). The UE compares CQI1 and CQI2.

[0035] When the difference between CQI1 and CQI2 is less than the threshold, it means that compressed sensing for channel acquisition is working well. Therefore, the UE then uses the first type of reference signal to determine the channel information. When the difference between CQI1 and CQI2 is equal to or greater than the threshold, it means that compressed sensing for channel acquisition is not as effective as conventional reference signal measurement. Therefore, the UE then uses the second type of reference signal to determine the channel information. In this case, channel measurements are performed less frequently compared to using both types of reference signals simultaneously.

[0036] Figure 3 Example scenario 300 of a scheme according to an embodiment of this disclosure is described. For example, a network node alternately transmits a first type of reference signal and a second type of reference signal. However, this example is for illustrative purposes only and is not intended to limit the scope of this disclosure. In other examples, a network node may periodically transmit a first type of reference signal in a first period and periodically transmit a second type of reference signal in another period.

[0037] Example Implementation Figure 4 An example system 400 with an example communication device 410 and an example network device 420 according to an embodiment of the present disclosure is shown. Each of the communication device 410 and the network device 420 can perform various functions to implement the schemes, techniques, processes, and methods described herein for determining channel information based on reference signal type, including the scenarios / schemes described above and the processes 500 and 600 described below.

[0038] The communication device 410 may be part of an electronic device, which may be a UE (User Equipment), such as a portable or mobile device, a wearable device, a wireless communication device, or a computing device. For example, the communication device 410 may be implemented in a smartphone, smartwatch, personal digital assistant, digital camera, or computing device such as a tablet, laptop, or notebook computer. The communication device 410 may also be part of a machine-type device, which may be an IoT, NB-IoT, eMTC, or IIoT device, such as a stationary or fixed device, a home appliance, a wired communication device, or a computing device. For example, the communication device 410 may be implemented in a smart thermostat, a smart refrigerator, a smart door lock, a wireless speaker, or a home control center. Alternatively, the communication device 410 may be implemented as one or more integrated circuit (IC) chips, such as, but not limited to, one or more single-core processors, one or more multi-core processors, one or more reduced-instruction-set computing (RISC) processors, or one or more complex-instruction-set computing (CISC) processors. Communication device 410 includes at least Figure 4 As shown, part of the components, such as processor 412. Communication device 410 further includes one or more other components (e.g., internal power supply, display device, and / or user interface device) unrelated to the scheme presented in this disclosure; therefore, for the sake of brevity, the aforementioned other components of communication device 410 are not shown. Figure 4 The middle part will not be described below.

[0039] Network device 420 may be part of a network device, which may be a network node, such as a satellite, base station, small cell, router, or gateway. For example, network device 420 may be implemented in an eNodeB in an LTE network, in a gNB in ​​a 5G / NR, IoT, NB-IoT, or IIoT network, or in a satellite or base station in a 6G network. Alternatively, network device 420 may be implemented as one or more IC chips, such as, but not limited to, one or more single-core processors, one or more multi-core processors, one or more RISC or CISC processors. Network device 420 includes at least... Figure 4 As shown, this is part of a component, such as processor 422. Processor 422 may also include a protocol stack and a set of control function modules and circuitry. Network device 420 also includes one or more other components (e.g., internal power supply, display device, and / or user interface device) unrelated to the scheme presented in this disclosure; therefore, for the sake of brevity, the aforementioned other components of network device 420 are not shown. Figure 4The middle part will not be described below.

[0040] On one hand, either processor 412 or processor 422 may be implemented as one or more single-core processors, one or more multi-core processors, or one or more CISC processors. That is, even though the singular term "processor" is used herein to refer to processor 412 and processor 422, in this disclosure, either processor 412 or processor 422 may include multiple processors in some embodiments and a single processor in others. On the other hand, either processor 412 or processor 422 may be implemented as hardware (and optionally, firmware) having electronic components, including, for example, but not limited to, one or more transistors, one or more diodes, one or more capacitors, one or more resistors, one or more inductors, one or more memristors, and / or one or more varactor diodes configured for a particular purpose according to this disclosure. In other words, in at least some embodiments, each of processors 412 and 422 is a dedicated machine specifically designed, arranged, and configured to perform a specific task in a device (e.g., represented by communication device 410) and a network (e.g., represented by network device 420) to determine channel information based on a reference signal type, according to various embodiments of the present disclosure.

[0041] In some embodiments, the communication device 410 may further include a transceiver 416 coupled to the processor 412 and capable of wirelessly transmitting and receiving data. In other words, the processor 412 can transmit and receive data such as configurations, messages, signals, information, and indicators through the transceiver 416. In some embodiments, the communication device 410 may also include a memory 414 coupled to the processor 412 and accessible by the processor 412 for storing data. In some embodiments, the network device 420 may also include a transceiver 426 coupled to the processor 422 and capable of wirelessly transmitting and receiving data. In other words, the processor 422 can transmit and receive data such as configurations, messages, signals, information, and indicators through the transceiver 426. In some embodiments, the network device 420 may further include a memory 424 coupled to the processor 422 and accessible by the processor 422 for storing data. Therefore, the communication device 410 and the network device 420 can communicate wirelessly through the transceiver 416 and transceiver 426, respectively. To aid in better understanding, the following descriptions of the operation, functions, and capabilities of communication device 410 and network device 420 are provided in the context of a mobile communication environment, wherein communication device 410 is implemented in or as a communication device or UE, and network device 420 is implemented in or as a network node of a communication network.

[0042] In some implementations, each of memories 414 and 424 may include a type of random-access memory (RAM), such as dynamic RAM (DRAM), static RAM (SRAM), thyristor RAM (T-RAM), and / or zero-capacitor RAM (Z-RAM). Alternatively, each of memories 414 and 424 may include a type of read-only memory (ROM), such as mask ROM, programmable ROM (PROM), erasable programmable ROM (EPROM), and / or electrically erasable programmable ROM (EEPROM). Alternatively, each of memories 414 and 424 may include a type of non-volatile random-access memory (NVRAM), such as flash memory, solid-state memory, ferroelectric RAM (FeRAM), magnetoresistive RAM (MRAM), and / or phase-change memory.

[0043] Example Process Figure 5 An example flow 500 according to an embodiment of this disclosure is described. Whether in part or in whole, flow 500 represents an example embodiment of the scenario and scheme presented above regarding the determination of channel information based on a reference signal type. Flow 500 represents an example embodiment of the function of the communication device 410. Flow 500 may include one or more operations, actions, or functions, as shown in one or more of steps 510 to 530. Although described as discrete steps, the individual steps of flow 500 may be divided into additional steps, combined into fewer steps, or deleted as needed. Furthermore, the steps / sub-steps of flow 500 may be arranged according to... Figure 5 The process may be executed in the order shown, or in another order. Furthermore, one or more steps / sub-steps of process 500 may be repeated. Process 500 may be implemented by communication device 410 or any suitable UE or machine type device. For illustrative purposes only, but not limited thereto, process 500 is described in the context of communication device 410 as a UE. Process 500 begins at step 510.

[0044] In step 510, process 500 involves the processor 412 of the communication device 410 determining a first metric and a second metric based on a first type of reference signal and a second type of reference signal, respectively. Process 500 continues from step 510 to step 520.

[0045] In step 520, process 500 involves the processor 412 of communication device 410 comparing the first metric with the second metric. Process 500 continues from step 520 to step 530.

[0046] In step 530, process 500 involves the processor 412 of communication device 410 determining channel information based on at least one of a first type of reference signal and a second type of reference signal, according to the result of comparing a first metric with a second metric.

[0047] In some implementations, the first metric and the second metric include CQI or RSRP.

[0048] In some implementations, process 500 involves the processor 412 of communication device 410 receiving a first type of reference signal and a second type of reference signal.

[0049] In some implementations, process 500 involves the processor 412 of communication device 410 comparing the difference between a first metric and a second metric with a threshold.

[0050] In some implementations, process 500 involves the processor 412 of the communication device 410 determining channel information based on at least one of a first type of reference signal and a second type of reference signal, according to the result of comparing the difference between a first metric and a second metric with a threshold.

[0051] In some implementations, when the difference is less than a threshold, channel information can be determined based on at least one of a first type of reference signal and a second type of reference signal.

[0052] In some implementations, when the difference is equal to or greater than a threshold, channel information can be determined based on a second type of reference signal.

[0053] In some implementations, the first type of reference signal can be associated with compressed sensing, and channel information can be derived by reconstructing sparse channel coefficients from a reduced number of measurements.

[0054] In some implementations, the second type of reference signal can be associated with conventional reference signal measurements, and channel information can be derived by performing predetermined orthogonal pilot transmissions on allocated resources.

[0055] Figure 6An example flow 600 according to an embodiment of this disclosure is described. Whether in part or in whole, flow 600 represents an example embodiment of the scenario and scheme presented above regarding the determination of channel information based on a reference signal type. Flow 600 represents an example embodiment of the functionality of network device 420. Flow 600 may include one or more operations, actions, or functions, as shown in one or more of steps 610 and 620. Although described as discrete steps, the individual steps of flow 600 may be divided into additional steps, combined into fewer steps, or deleted as needed. Furthermore, the steps / sub-steps of flow 600 may be arranged according to… Figure 6 The process may be executed in the order shown, or in another order. Process 600 may be implemented by network device 420 or any suitable network device or machine type device. For illustrative purposes only, but not limited thereto, process 600 is described in the context of network device 420. Process 600 begins at step 610.

[0056] In step 610, process 600 involves the processor 422 of network device 420 determining a first type of reference signal and a second type of reference signal. Process 600 continues from step 610 to step 620.

[0057] In step 620, process 600 involves the processor 422 of network device 420 sending a first type of reference signal and a second type of reference signal to determine a first metric and a second metric based on the first type of reference signal and the second type of reference signal.

[0058] In some implementations, the first metric and the second metric include CQI or RSRP.

[0059] In some implementations, the first type of reference signal can be associated with compressed sensing, and channel information can be derived by reconstructing sparse channel coefficients from a reduced number of measurements.

[0060] In some implementations, the second type of reference signal can be associated with conventional reference signal measurements and can be used to derive channel information by performing predetermined orthogonal pilot transmissions on allocated resources.

[0061] Additional Notes The subjects described in this disclosure are sometimes illustrated as different components included within or connected to other components. It should be understood that the architectures depicted are merely examples, and in reality, many other architectures can be implemented to achieve the same functionality. Conceptually, any arrangement of components used to achieve the same functionality is effectively “associated” to achieve the desired functionality. Therefore, any two components combined in this disclosure to achieve a particular function can be considered “associated” with each other to achieve the desired functionality, regardless of the architecture or intermediate components. Similarly, any two components so associated can also be considered “operably connected” or “operably coupled” to each other to achieve the desired functionality, and any two components that can be so associated can also be considered “operably coupled” to each other to achieve the desired functionality. Specific examples of operably coupled components include, but are not limited to, physically pairable and / or physically interactive components and / or wirelessly interactive and / or logically interactive and / or logically interactive components.

[0062] Furthermore, in relation to virtually any use of plural and / or singular terms in this disclosure, those skilled in the art may convert plural to singular and / or singular to plural to suit the context and / or application. For clarity, various singular / plural substitutions may be explicitly set forth in this disclosure.

[0063] Furthermore, those skilled in the art should understand that, in general, the terms used in this disclosure, particularly in the appended claims (e.g., the body of the appended claims), are intended to be “open” terms. For example, the term “comprising” should be interpreted as “including but not limited to,” and the term “having” should be interpreted as “having at least,” etc. Those skilled in the art should also understand that if there is an intention to refer to a specific number of claim statements, this intention will be explicitly stated in the claims, and without such a statement, this intention does not exist. For example, to aid understanding, the following appended claims may include the use of the introductory phrases “at least one” and “one or more” to introduce claim statements. However, the use of these phrases should not be construed as implying that introducing a claim statement with the indefinite article “a” or “an” limits any particular claim that includes this introduced claim statement to an implementation that includes only this one statement, even when the claim includes the introductory phrase “one or more” or “at least one” and an indefinite article such as “a” or “an,” for example, “a” and / or “an” should be interpreted as meaning “at least one” and “one or more,” and the same applies to the use of definite articles for introducing claim statements. Furthermore, even in claims that explicitly state a specific number, those skilled in the art will recognize that such a statement should be interpreted as meaning at least the stated number; for example, the plain statement "two statements" without other modifications means at least two statements or two or more statements. Moreover, in cases where the convention of "at least one of A, B, and C" is used, generally, from the perspective of those skilled in the art to understand this convention, the construction contemplated, for example, "a system having at least one of A, B, and C," will include, but is not limited to, systems having only A, only B, only C, A and B together, A and C together, B and C together, and / or A, B, and C together, etc. In other cases where the convention of "at least one of A, B, or C" is used, generally, from the perspective of those skilled in the art to understand this convention, the construction contemplated, for example, "a system having at least one of A, B, or C," will include, but is not limited to, systems having only A, only B, only C, A and B together, A and C together, B and C together, and / or A, B, and C together, etc. Those skilled in the art should also understand that any conjunction and / or phrase (whether in the specification, claims, or drawings) that actually represents two or more alternative terms should be understood to imply the possibility of including one, any, or both of the terms. For example, the phrase “A or B” would be understood to include the possibility of including “A” or “B” or “A and B”.

[0064] Based on the foregoing, it should be understood that various embodiments of this disclosure have been described herein for illustrative purposes, and various modifications may be made without departing from the scope and spirit of this disclosure. Therefore, the various embodiments disclosed herein are not intended to be limiting, wherein the true scope and spirit are indicated by the claims.

Claims

1. A method for determining channel information based on reference signal type, comprising: The processor of the device determines the first metric and the second metric based on the first type of reference signal and the second type of reference signal, respectively. The processor compares the first metric with the second metric; as well as The processor determines channel information based on at least one of the first type of reference signal and the second type of reference signal, according to the result of comparing the first metric with the second metric.

2. The method for determining channel information based on reference signal type as described in claim 1, characterized in that, The first metric and the second metric include the channel quality indicator or reference signal received power.

3. The method for determining channel information based on reference signal type as described in claim 1, further comprising: Receive the reference signal of the first type and the reference signal of the second type.

4. The method for determining channel information based on reference signal type as described in claim 1, characterized in that, Comparing the first metric with the second metric also includes: The processor compares the difference between the first metric and the second metric with a threshold.

5. The method for determining channel information based on reference signal type as described in claim 4, characterized in that, Based on the result of comparing the first metric and the second metric, determining channel information based on at least one of the first type of reference signal and the second type of reference signal further includes: The processor determines the channel information based on at least one of the first type of reference signal and the second type of reference signal, according to the result of comparing the difference between the first metric and the second metric with the threshold.

6. The method for determining channel information based on reference signal type as described in claim 5, characterized in that, If the difference is less than the threshold, the channel information is determined based on at least one of the first type of reference signal and the second type of reference signal.

7. The method for determining channel information based on reference signal type as described in claim 5, characterized in that, If the difference is equal to or greater than the threshold, the channel information is determined based on the reference signal of the second type.

8. The method for determining channel information based on reference signal type as described in claim 1, characterized in that, The reference signal of the first type is associated with compressed sensing to derive the channel information by reconstructing sparse channel coefficients from a reduced number of measurements.

9. The method for determining channel information based on reference signal type as described in claim 1, characterized in that, The second type of reference signal is associated with conventional reference signal measurements and is used to derive channel information by performing predetermined orthogonal pilot transmissions on allocated resources.

10. A method for determining channel information based on a reference signal type, comprising: The device's processor determines the first type of reference signal and the second type of reference signal; as well as Send the first type of reference signal and the second type of reference signal to determine the first metric and the second metric based on the first type of reference signal and the second type of reference signal.

11. The method for determining channel information based on reference signal type as described in claim 10, characterized in that, The first metric and the second metric include the channel quality indicator or reference signal received power.

12. The method for determining channel information based on reference signal type as described in claim 10, characterized in that, The reference signal of the first type is associated with compressed sensing to derive the channel information by reconstructing sparse channel coefficients from a reduced number of measurements.

13. The method for determining channel information based on reference signal type as described in claim 10, characterized in that, The second type of reference signal is associated with conventional reference signal measurements and is used to derive channel information by performing predetermined orthogonal pilot transmissions on allocated resources.

14. An apparatus for determining channel information based on a reference signal type, comprising: A transceiver that communicates wirelessly with a wireless network during operation; as well as The processor, which is communicatively coupled to the transceiver, performs the following operations during operation: The first metric and the second metric are determined based on the first type of reference signal and the second type of reference signal, respectively. Compare the first metric with the second metric; and Based on the result of comparing the first metric with the second metric, channel information is determined based on at least one of the first type of reference signal and the second type of reference signal.

15. The apparatus as claimed in claim 14, characterized in that, The first metric and the second metric include the channel quality indicator or reference signal received power.

16. The apparatus as claimed in claim 14, characterized in that, During operation, the processor also performs the following operations: The transceiver receives the first type of reference signal and the second type of reference signal.

17. The apparatus as claimed in claim 14, characterized in that, During operation, the processor also performs the following operations: The processor compares the difference between the first metric and the second metric with a threshold.

18. The apparatus as claimed in claim 17, characterized in that, During operation, the processor also performs the following operations: Based on the result of comparing the difference between the first metric and the second metric with the threshold, the channel information is determined based on at least one of the first type of reference signal and the second type of reference signal.

19. The apparatus as claimed in claim 18, characterized in that, If the difference is less than the threshold, the channel information is determined based on at least one of the first type of reference signal and the second type of reference signal.

20. The apparatus as claimed in claim 18, characterized in that, If the difference is equal to or greater than the threshold, the channel information is determined based on the reference signal of the second type.

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