DESIGN AND GROUPING METHOD OF WAKE-UP SIGNAL FOR EFFICIENT WAKE-UP RECEIVER OPERATION

Abstract

The invention relates to the technical field of wireless communication and describes a method for designing and grouping wake-up signals to improve the efficiency of wake-up receiver operation.

Description

1 TARIFF WAKE-UP SIGNAL FOR EFFICIENT WAKE-UP RECEIVER OPERATION DESIGN AND GROUPING METHOD TECHNICAL AREA 5 The invention relates to the technical field of wireless communication and the operation of a wake-up receiver. designing and grouping wake-up signals to increase efficiency It describes a method for this purpose. PREVIOUS TECHNIQUE In wireless communication systems, particularly within the Internet of Things (IoT) field, Energy efficiency is crucial due to the limited power resources of the devices. Wake-up receivers. (WuRs), low power 15 until activation of primary communication modules is required. allowing them to remain in their current state is an important solution to reduce energy consumption. It has emerged. Wake-up receivers (WuRx) keep devices active until they are triggered by a wake-up signal. By ensuring they remain in low power modes, power consumption in wireless communication systems is reduced by 20%. It is widely used to reduce the traditional wake-up signal (WuS). The disadvantages of their designs are generally high false wake-up rates and inefficient resources. Limitations include issues such as usability and scalability in multi-device environments. Wake-up Current grouping methods for signals typically do not adequately address these challenges. This does not result in inadequate wake-up receiver performance and increased energy consumption. 25 WuRs continuously maintain the communication channel for specific wake-up signals (WuSs). These are specialized low-power radio receivers that monitor. When a WuS is detected, the WuR main transceiver is activated. It enables data communication by activating this mechanism. This mechanism is superior to traditional receiver designs. It significantly reduces the energy consumption inherent in idle listening and frequent questioning. 30 Recent improvements minimize the power required for continuous channel monitoring of IoT devices. the development of microwatt-power WuRs that further increase the energy efficiency of devices This has led to... Clustering improves energy efficiency and network scalability in wireless sensor networks (WSNs). It is an established technique aimed at increasing Low Energy Adaptive Clustering Hierarchy. Protocols like LEACH organize sensor nodes into clusters, each of which... 2 by a cluster leader responsible for data collection and communication with the base station This hierarchical approach reduces unnecessary data transmission and minimizes energy consumption across the network. balances. WuRs (e.g., WuR1=1011, WuR2=1010, WuR3=1010, WuR4=1010) and clustering 5 techniques independently contribute to energy efficiency in wireless communication systems. Although it exists, WuS minimizes unnecessary wake-ups, especially in dense IoT deployments. Designing the arrays presents challenges. Assigning unique WuS arrays to each device, Orthogonal arrays are impractical due to their limited availability and the large number of devices. As a result, devices can share WuS sequences, leading to 10 unwanted instances as shown in Figure 1. This can lead to activations and increased energy consumption. In Figure 1, high power is transmitted (for example: (3 times the power). Addressing this problem involves classifying devices based on specific criteria such as the strength of the signal received. It requires a method that intelligently groups and allocates WuS sequences accordingly. Such a 15 The strategy is to ensure that only the designed devices respond to a specific WuS, thus It reduces unnecessary wake-ups and improves the overall energy efficiency of the network. According to the 3GPP specifications, WUR technology is detailed in 3GPP TR 38.869 [1], By leveraging improvements in wake-up signaling and low-power communications, 5G 20 It integrates with its architecture. This compatibility prepares WUR for future 6G requirements. It ensures seamless operation within the 5G ecosystem. 3GPP's work on 6G. Because it emphasizes ultra-low latency, improved energy efficiency and advanced IoT connectivity, WUR is becoming increasingly important. It involves devices responding to wake-up signals. By keeping it in low-power sleep mode, it significantly extends battery life and 25 It optimizes network resource usage. This capacity enables ubiquitous connectivity and widespread detection. By supporting the implementation of next-generation applications envisioned in 6G, such as these, WUR... This makes it a key technology in achieving ambitious goals. Traditional allocation methods do not provide unique WuS arrays to each device, which results in orthogonal 30 It is impractical due to the limited availability of the series and the large number of devices. Conclusion As a result, devices share WuS sequences, which can lead to unwanted activations and increased energy consumption. It leads to consumption. All the problems and limitations mentioned above ultimately lead to an innovation in the relevant technical field. 35 This has made it necessary to do so. 3 A BRIEF DESCRIPTION OF THE INVENTION The present invention aims to eliminate the aforementioned disadvantages and introduce new technologies to the relevant technical field. It is related to a method that aims to bring advantages. The invention is a design of a wake-up signal for efficient wake-up receiver operation and It is related to the grouping method. One aim of the invention is to support, in particular, the Internet of Things (IoT) and low-power wide area networks. In large-scale deployments such as LPWANs, wake-up time in wireless communication systems is 10. The goal is to improve the energy efficiency and scalability of the signal. The invention provides a reliable and low-power signal. A new wake-up method that minimizes unnecessary device activations while enabling communication. It achieves this by offering a signal (WuS) design and grouping method. Advantages of the Proposed Method: 15 The described WuS design and clustering method enable large-scale wireless communication. It significantly improves wake-up efficiency in their systems. (Figure 5(a) and Figure 5(b)) As shown, the method only requires the designed devices to respond to a specific WuS. By doing so, it effectively reduces unnecessary awakenings. 20 The described method is limited to wake-up signal (WuS) and wake-up receiver (WuR) technology. not, but all that use wake-up mechanisms or similar activation concepts Applicable to communication systems. Environment IoT networks and other energy-efficient communication. including paradigms to minimize power consumption and increase wake-up efficiency 25 in various low-complexity device communication scenarios where optimization is critical available. The proposed invention is based on the Third Generation Partnership Project (3GPP) Standard, Version 18, TR 38.869. This relates to Low Power Wake-Up Signal and Receiver Operation for NR. Wake-up signal and 30 Work on NR improvements regarding the recipient will be more on the future 3GPP agenda. It is expected to be examined in detail. Therefore, the subject matter of the invention, due to its importance, is expected to be reviewed in the Version. It is expected that this will not be limited to version 18 and may be addressed in later versions as well. Wake Up The Radio Usage (WUR) design, particularly in Version 19, focuses on energy efficiency and network optimization. Current 3GPP standardization efforts, such as those summarized in subsequent studies focusing on this, 35 It is quite compatible with. The described wake-up signal design and grouping method, wake-up radio It offers a robust and energy-efficient approach to communication. The received signal 4 By intelligently clustering devices based on their power and allocating optimized WuS arrays. This method enhances wake-up accuracy, minimizes unnecessary activations, and It improves overall network efficiency. The main advantages of the proposed technique are as follows: ∑ Scalability: Efficient clustering ensures seamless operation even in ultra-dense networks. ∑ Energy Efficiency: Reducing false alarms lowers power consumption and saves device battery life. It prolongs life. ∑ Optimized Signal Detection: Variable length signal detection based on received power levels. The allocation of sequences strengthens the accuracy of wake-up calls. The wake-up signal of each of the arrangements of the invention has a corresponding set of lengths ( ) and signal 10 It has power ( ). In another arrangement of the invention, the power level of each WuS ( ), interference and redundancy The array is dedicated to providing accurate wake-up detection while minimizing activations. It is adjusted according to its length ( ). The proposed invention is for 15 applications in cellular networks (5G, 5G beyond, 6G and beyond), Wi-Fi, IoT, etc. It is applicable in signal technology. The proposed method depends on the method implemented on the computer. A wireless communication a device for wireless communication at a base station in the system (a device is a (a processor may include a memory combined with the processor and instructions stored in memory), a network device 20 or by a component of the network device (such as a processor, a chip, or a system of chips, etc.) all of the functions of a network device or a device implemented by a computer that can be executed or some network device functions. A method that can be implemented by logical modules or software applications. The features and advantages of the regulations can be found in the detailed explanation below, 25 with illustrations that identify the corresponding elements throughout the text using reference characters. It will become clearer when examined closely. BRIEF DESCRIPTION OF THE FIGURES The current specification refers to the following figures, in accordance with one or more various examples. This is explained in detail. The drawings are for illustrative purposes only and are provided for illustrative purposes only. It shows examples of the specifications. These illustrations help the reader understand the specifications. It is provided to facilitate and to define the scope, breadth or applicability of the specification. It should not be thought that this is limiting. For clarity and ease of presentation, these drawings are scaled to 35. It should not be forgotten that this was not done. Figure 1: An example of a redundant wake-up problem in a cell distribution. Figure 2: Example of the grouping / clustering explained. Figure 3: Example of the described WuS design. Figure 4: Example of assigning each of the designed WuSs to a cluster. Figure 5a: The proposed method is not designed to wake up nearby devices. An example showing how it prevents them from waking up. Figure 5b: The proposed method is not designed for waking up remote devices. An example showing how it prevents them from waking up. REFERENCE NUMBERS GIVEN IN THE FIGURE 10 The reference numbers of the elements shown in the figures are explained below. 100 Transmission (Tx) devices 101 Wake-Up Receiver DETAILED DESCRIPTION OF THE INVENTION This detailed explanation is provided solely for the purpose of making the subject clearer and without any This has been explained by referring to examples without creating a limiting effect. The above mentioned examples... and in order to achieve all the objectives that will emerge from the detailed explanation below, 20 It has been developed. This invention is a design of a wake-up signal for efficient wake-up receiver operation and It is related to the grouping method. The current specification classifies devices into clusters based on the signal strengths they receive, and by allocating appropriate wake-up signal sequences accordingly (WuS) It offers a method for optimizing the design and allocation of each cluster, Base It has a separate WuS depending on the cluster's location with reference to its station. The method provides reliable and low-power communication while minimizing unnecessary device activations. It reduces it. The invention is a wireless system for the efficient operation of wake-up receivers (WuRs). Design of wake-up signals and receiving devices (receiver R(x)) in the communication system 35 It is a computer-implemented method for grouping; the method includes the following: Includes: 6 ∑ A pilot signal is transmitted to a transmission (Tx) device by at least one of the receiving (Rx) devices (100) periodically transmitted, ∑ Measurement of the received power level of each pilot signal by the Transmission (Tx) device (100), ∑ Based on the measured received signal power levels by the Transmission (Tx) device (100), many Categorizing the receiver (Rx) device into a predetermined number of separate clusters, ∑ Generating a set of wake-up signals (WuSs) by the transmission (Tx) device (100), ∑ Each wake-up signal requires processing to detect the transmitted power and signal. It should be designed in a way that strikes a balance between profit and loss. ∑ By the Transmission (Tx) device (100), to optimize the detection performance and prevent false Configured with power levels and sequence lengths to minimize awakenings. The allocation of wake-up signals (WuS) to devices in different clusters, ∑ By the transmission (Tx) device (100), to each -th cluster, a corresponding set of length ( ) and allocation of a predetermined wake-up sequence with transmission power ( ) ( ( )) being done, ∑ In a device's wake-up receiver (WuR), a received signal has an allocated sequence ( ( )) Determining an awakening condition by performing cross-correlation ( ) ). The current specification concerns wireless communication systems, specifically in terms of energy. Design of wake signal (WuS) for efficient wake receiver (WuR) (101) operation It is related to the described method, using a grouping, matching, or clustering approach. By optimizing wake-up signal allocation, it reduces unnecessary wake-ups and enables large-scale 20 It improves power efficiency in device deployments. In power-limited wireless communication systems, the primary receiver uses a dedicated wake-up signal. By allowing it to remain in low-power sleep mode until activated by (WuS) Wake-up radios (WuRs) are used to minimize energy consumption. One wake-up call takes 25 minutes. The transmitter (Tx) device (100) transmits a wake-up signal to the target wake-up receiver (101) It initiates the awakening process. The awakening process is uniform among all awakening receptors (101). previously which can be or uniquely assigned to separate wake-up receivers (101) It can be based on a defined sequence. However, there are numerous distributed devices and a limited number of unique WuS arrays available. Therefore, a single array may need to be allocated to multiple devices. This is unnecessary. This increases the risk of waking the system, thereby increasing power consumption and reducing overall system efficiency. Efficient management of WuS allocations, leading to scalable wake-up radio operation. It is essential. 35 7 To explain the method in detail, it consists of three basic steps: Step 1: Device Grouping Based on Power Measurements: The first step is to provide an efficient wake-up signal by connecting the receiver (Rx) devices to the received signal 5 It involves classifying them based on their strengths. 1. Each Rx device periodically transmits a pilot signal to the transmission (Tx) device (100). 2. Tx measures the received power levels of these pilot signals. For example, the Reference signal for each device. Calculates the Power Received from the Signal (RSRP). 3. Tx is a complete system that forms different clusters of devices based on the signal power levels they receive. It categorizes into the number N. (The power received measured by the transmission (Tx) device (100). Based on their levels, many receiver (Rx) devices are grouped into a predetermined number of separate clusters. (categorization) An example of this classification is shown in Figure 2, where RSRP values ​​are decomposed into three levels ( = 3), resulting in the formation of three sets of Rx (e.g., wake-up receiver) devices. The process is complete. The service cell and each cluster are shown in Figure 2. Step 2: Generating a Wake-Up Signal of Variable Length and Strength: After the devices were grouped into clusters, the transmission (Tx) device (100) has different lengths and 20 It generates a pool of wake-up signal (WuS) sequences with varying power levels. The design is selective. Transmission power and processing gain in the wake-up receiver (101) to facilitate activation It provides an optimal balance between them. 1. A set of WuS is produced, each with a specific sequence length ( ) and signal strength ( ). 2. Each WuS represents a ratio between the transmitted power and the processing gain required to detect the signal. It is designed to provide balance. This is shown in Figure 3, where long WuSs are short. It has a higher processing gain than those that are shorter, but short WuSs are less efficient per sample. It has high power. P is the transmitted reference power for a WuR, so it can be any number, e.g., p=1. In this method, a trade-off between processing gain (WuS time) and transmitted power is used, A power p / a is transmitted, which can be any value depending on the WuS duration. The basic principles of WuS sequences... The problem is that they are very limited, but the number of WuRs is very large. Therefore, suddenly For multiple WuRs, it is necessary to use the same WuS sequences. In this case, to awaken WuR2. If desired, WuR3 and WuR4 will also wake up unnecessarily. This invention attempts to solve this problem. 8 3. Optimize detection performance and prevent false alarms on devices in different clusters. wake-up signals with appropriate power levels and sequence lengths to minimize is allocated. (Transmission (Tx) device (100) to optimize detection performance and prevent errors Configured with power levels and sequence lengths to minimize awakenings. (Allocation of wake-up signals (WuSs) to devices in different clusters) For example, Figure 3, = 3 groups are considered and the transmission (Tx) device (100) WuS's This indicates a situation where it uses On-Off Switching (OOK) modulation sequences. Sequence The design allows devices with stronger received signal strength to require shorter arrays. By doing so, it reduces the complexity of detection. An example of the described WuS design is shown in Figure 3 and below: 10 S1(t) = x S2(t) = x S3(t) = x Step 3: Assigning Wake-Up Signals to Clusters: In the final step, the transmission (Tx) device (100) assigns to each -th cluster a corresponding set of lengths. ( ) and a specific (predetermined) wake-up sequence with transmission power ( ) ( ( )) allocates. 20 1. Sequence length ( ), is the inverse of the received signal strength of the devices in the corresponding cluster. It is proportional. 2. The power level of each WuS ( ), minimizes interference and unnecessary activations. based on the sequence length allocated to ensure accurate wake-up detection during downloading ( ). It is adjustable. 3. The wake-up condition is that the signal received in WuR ( ( )) is cross-referenced with the allocated sequence ( ( )). It is determined by its correlation, where: ( ) ⋆ ( ) = > , < , The device is woken up correctly, the wake-up was not triggered, here ( ) the signal received in WuR 30 It represents, specifies a predefined detection threshold, and ⋆ the cross-correlation operation. It represents. 1 0 1 1 1 0 1 1 1 0 1 1 1 0 1 1 1 0 1 1 1 0 1 1 1 0 1 1 9 As shown in Figure 4, this approach optimizes the wake-up signals for each group of devices. By ensuring that power is allocated in this way, it prevents excessive power consumption and unnecessary activations. Each group is calculated as follows: √x x x Figures 5a and 5b show a 10-fold illustration of how the proposed method prevents unintended awakenings. An example is given. As shown in Figure 5a, the device did not wake up due to severe path loss. As shown in Figure 5b, the device did not wake up due to low processing gain (only 4 (correlated with code) 15 In Figure 5a and Figure 5b: WuRs; √ xx Potential specific industrial applications of the invention include cellular networks (5G and above), Amb-IoT, WiFi, and IoT 20. It is for applications, etc. 1 0 1 1 1 0 1 1 1 0 1 1 1 0 1 1 1 0 1 1 1 0 1 1 1 0 1 1 1 0 1 0 1 0 1 0 1 0 1 0 REFERANSLAR [1] 3GPP TR 38.869, “Study on low-power Wake-up Signal and Receiver for NR,” Dec. 2023.

Claims

11 REQUESTS 1. To ensure the efficient operation of wake-up receivers (WuRs) (101) Designing and receiving (Rx) wake-up signals in wireless communication systems. a computer-implemented method for grouping devices 5 Its characteristic feature is that the method includes the following: ∑ A pilot signal is transmitted from at least one of the receiver (Rx) devices to a transmitting (Tx) device. periodically transmitted, ∑ The power level of each pilot signal received by the transmission (Tx) device (100) measuring, ∑ Based on the received signal power levels measured by the Transmission (Tx) device (100) as many receiver (Rx) devices in a predetermined number of separate clusters categorization, ∑ Generating a set of wake-up signals (WuSs) by the transmission (Tx) device (100), ∑ Each wake-up signal requires the necessary equipment for detecting the transmitted power and signal. It should be designed to strike a balance between processing gain and performance. ∑ By the Transmission (Tx) device (100), to optimize the detection performance and prevent false Configure power levels and sequence lengths to minimize awakenings. The generated wake-up signals (WuSs) are assigned to devices in different sets. being done, ∑ By the transmission (Tx) device (100), a corresponding set for each -th cluster a predetermined wake-up with length ( ) and transmission power ( ) allocation of the series ( ( )) ∑ A device's wake-up receiver (WuR) (101) has the assigned sequence ( ( )) by performing a cross-correlation of a received signal ( ( )) a wake-up Determining the condition.

2. The method according to claim 1, its characteristic feature is that each wake-up signal has a corresponding sequence length. It is characterized by having ( ) and signal strength ( ).

3. The method according to claim 1, the characteristic of which is the power level of each wake-up signal ( ), 30 Accurate wake-up detection while minimizing interference and unnecessary activations. Characterized by being adjusted according to the sequence length allocated to provide ( ). It is done.

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