WO2021254211A1 - Electronic device and method for wireless communication, and computer-readable storage medium - Google Patents

Abstract

An electronic device and method for wireless communication, and a computer-readable storage medium. The electronic device comprises a processing circuit. The processing circuit is configured to determine, for a transmission side network node, and at least on the basis of a state of a channel and a state of data to be transmitted, a data transmission policy comprising a lossy compression solution of a data packet and a transmission rate of the data packet, and to transmit the data packet to a reception side network node on the basis of the data transmission policy.

Description

Electronic device and method for wireless communication, and computer readable storage medium

This application claims the priority of a Chinese patent application filed with the Chinese Patent Office on June 15, 2020, the application number is 202010542693.2, and the invention title is "electronic equipment and methods for wireless communication, computer-readable storage media", all of which The content is incorporated in this application by reference.

Technical field

This application relates to the field of wireless communication technology, in particular to a data transmission technology. More specifically, it relates to an electronic device and method for wireless communication and a computer-readable storage medium.

Background technique

With the continuous development of wireless communication technology, people are entering the 5G era. The applications in the 5G communication network can be divided into three categories according to different needs: large-scale machine type communication (Massive Machine Type Communication, mMTC), ultra-reliable low-latency communication (Ultra-Reliable Low-Latency Communication, uRLLC) and enhanced Mobile Broadband (Enhanced Mobile Broadband, eMBB). From the perspective of these three main application scenarios, 5G will provide a variety of services for various communication devices, which will greatly promote the development of various industries.

5G and future wireless communication networks will inject new blood into various vertical industries (such as entertainment, medical care, and the Internet of Things (IoT), etc.). For example, mMTC can be applied to IoT scenarios. Specifically, in daily life, IoT can help people implement various intelligent systems, such as: intelligent parking application systems that can intelligently locate positions, automatically pay tolls, and monitor road violations; An asset management application that manages the location and status of assets; through professional manhole cover sensors, temperature and humidity sensors, and smoke alarms, combined with IoT to generate wireless alarm information such as tube well status, temperature and humidity, and smoke. Generally, these application terminals require low-power IoT modules so that they can operate for several years only on batteries with limited power, without the need to lay out wires.

As for uRLLC, as one of the main scenarios in the 5G network, it puts forward extremely high requirements on the delay and reliability of data transmission. Specifically, the end-to-end delay should be less than 1ms, and the bit error rate should be less than 10 ^-5 , which brings great challenges to communication system designers.

On the other hand, different types of services have different requirements for the quality of communication (QoS). For example, the data services generated by real-time interactive games have high requirements for delay performance, because larger delays will affect the game. Experience; and some data services generated by ordinary web page information have relatively low requirements for time delay, because users are not sensitive to fluctuations in the time required to open a web page in a small range. Therefore, it is expected to reasonably allocate different communication resources for different services according to their QoS requirements, so as to improve resource utilization efficiency.

Summary of the invention

A brief summary of the present disclosure is given below in order to provide a basic understanding of certain aspects of the present disclosure. It should be understood that this summary is not an exhaustive summary of the present disclosure. It is not intended to determine the key or important part of the present disclosure, nor is it intended to limit the scope of the present disclosure. Its purpose is merely to present some concepts in a simplified form as a prelude to the more detailed description that will be discussed later.

According to one aspect of the present application, there is provided an electronic device for wireless communication, including: a processing circuit configured to determine a data sending strategy of a sending-side network node based at least on a channel state and a data state to be transmitted, the The data transmission strategy includes the lossy compression scheme of the data packet and the transmission rate of the data packet; and the data packet is sent to the receiving side network node based on the data transmission strategy.

According to another aspect of the present application, there is provided a method for wireless communication, including: determining a data transmission strategy of a transmitting-side network node based on at least a channel state and a data state to be transmitted, the data transmission strategy including loss of data packets The compression scheme and the sending rate of the data packet; and the sending of the data packet to the receiving-side network node based on the data sending strategy.

According to one aspect of the present application, there is provided an electronic device for wireless communication, including: a processing circuit configured to obtain information about a lossy compression ratio of a data packet from a sending-side network node, wherein the sending-side network The node determines a data transmission strategy based on at least the channel state and the state of the data to be transmitted. The data transmission strategy includes a lossy compression scheme of the data packet and the transmission rate of the data packet; and receiving the data packet from the transmitting side network node based on the information.

According to another aspect of the present application, there is provided a method for wireless communication, including: acquiring information about a lossy compression ratio of a data packet from a sending-side network node, wherein the sending-side network node is based on at least a channel state and waiting The state of the transmitted data determines the data sending strategy, the data sending strategy includes a lossy compression scheme of the data packet and the sending rate of the data packet; and receiving the data packet from the sending side network node based on the information.

According to other aspects of the present disclosure, computer program codes and computer program products for implementing the above-mentioned method for wireless communication and a computer on which the computer program codes for implementing the above-mentioned method for wireless communication are recorded are also provided. Readable storage medium.

The electronic device and method according to the embodiments of the present application dynamically control the lossy compression and the transmission rate of the transmitted data according to the channel state and the state of the data to be transmitted, which can effectively reduce the time delay and reduce the power consumption.

These and other advantages of the present disclosure will be more apparent through the following detailed description of the preferred embodiments of the present disclosure in conjunction with the accompanying drawings.

Description of the drawings

In order to further illustrate the above and other advantages and features of the present disclosure, the specific embodiments of the present disclosure will be described in further detail below with reference to the accompanying drawings. The drawings together with the following detailed description are included in this specification and form a part of this specification. Elements with the same function and structure are denoted by the same reference numerals. It should be understood that these drawings only describe typical examples of the present disclosure, and should not be regarded as limiting the scope of the present disclosure. In the attached picture:

Fig. 1 is a block diagram showing functional modules of an electronic device 100 for wireless communication according to an embodiment of the present application;

FIG. 2 is a block diagram showing functional modules of an electronic device 100 for wireless communication according to an embodiment of the present application;

FIG. 3 shows a schematic diagram of an example of a communication system that performs lossy compression on the user equipment side;

FIG. 4 shows a schematic example of determining an optimal data transmission strategy according to an embodiment of the present application;

FIG. 5 shows a graph of simulation results for optimizing the performance of a data transmission strategy according to an embodiment of the present application;

Fig. 6 shows another graph of the simulation result of the performance of the optimized data transmission strategy according to an embodiment of the present application;

FIG. 7 shows another graph of the simulation result of the performance of the optimized data transmission strategy according to an embodiment of the present application;

Figure 8a shows a schematic diagram of a related information flow between a user equipment and a base station;

Fig. 8b shows a schematic diagram of a related information flow between two user equipments in side link communication;

FIG. 9 is a block diagram showing functional modules of an electronic device 200 for wireless communication according to another embodiment of the present application;

FIG. 10 is a block diagram showing functional modules of an electronic device 200 for wireless communication according to another embodiment of the present application;

Fig. 11 shows a flowchart of a method for wireless communication according to an embodiment of the present application;

Fig. 12 shows a flowchart of a method for wireless communication according to another embodiment of the present application;

FIG. 13 is a block diagram showing a first example of a schematic configuration of an eNB or gNB to which the technology of the present disclosure can be applied;

FIG. 14 is a block diagram showing a second example of a schematic configuration of an eNB or gNB to which the technology of the present disclosure can be applied;

15 is a block diagram showing an example of a schematic configuration of a smart phone to which the technology of the present disclosure can be applied;

FIG. 16 is a block diagram showing an example of a schematic configuration of a car navigation device to which the technology of the present disclosure can be applied; and

FIG. 17 is a block diagram of an exemplary structure of a general personal computer in which the method and/or apparatus and/or system according to the embodiments of the present disclosure can be implemented.

detailed description

Hereinafter, exemplary embodiments of the present invention will be described with reference to the accompanying drawings. For the sake of clarity and conciseness, not all the features of the actual implementation are described in the specification. However, it should be understood that many implementation-specific decisions must be made during the development of any such actual implementation in order to achieve the developer’s specific goals, for example, compliance with system and business-related constraints, and these Restrictions may vary with different implementation methods. In addition, it should also be understood that although the development work may be very complicated and time-consuming, for those skilled in the art who benefit from the present disclosure, such development work is only a routine task.

Here, it should be noted that, in order to avoid obscuring the present invention due to unnecessary details, only the equipment structure and/or processing steps closely related to the solution according to the present invention are shown in the drawings, and are omitted. Other details that are not relevant to the present invention are described.

<First embodiment>

As mentioned earlier, in 5G communication, it is expected to meet the QoS requirements of different aspects of different services, including reducing power consumption, reducing time delay, and increasing data transmission rate.

For example, on the User Equipment (UE) side, the battery capacity is usually limited. In order to have a longer battery life (especially, in the IoT scenario), it is expected to meet the delay requirements and reliability of data services. Reasonably control the power consumption of the UE when required. Exemplarily, when the amount of data to be transmitted in the service of the UE is large, in order to relieve the service pressure, the UE needs to increase the data transmission rate. However, power consumption increases exponentially with the transmission rate. To overcome this difficulty, lossy compression can be performed on the data to reduce the amount of data to be transmitted. In addition, when the wireless channel status is poor, you can choose not to send or send less data services, thereby sacrificing a certain time delay in exchange for a reduction in power consumption.

In this embodiment, a scheme of jointly considering the lossy compression of the data packet and the sending rate of the data packet is proposed to transmit the data packet, so as to reduce power consumption while meeting the QoS requirements of various services.

Fig. 1 shows a block diagram of functional modules of an electronic device 100 for wireless communication according to an embodiment of the present application. As shown in Fig. 1, the electronic device 100 includes: a determining unit 101 configured to be based at least on channel status and waiting The data transmission state determines the data transmission strategy of the sending-side network node. The data transmission strategy includes the lossy compression scheme of the data packet and the transmission rate of the data packet; and the sending unit 102 is configured to send the data to the receiving-side network node based on the data transmission strategy. Send data packets.

Wherein, the determining unit 101 and the sending unit 102 may be implemented by one or more processing circuits, and the processing circuit may be implemented as a chip or a processor, for example. Moreover, it should be understood that each functional unit in the electronic device shown in FIG. 1 is only a logical module divided according to the specific function implemented by it, and is not used to limit the specific implementation manner.

The electronic device 100 may, for example, be set in a sending-side network node or communicably connected to the sending-side network node. Here, it should also be pointed out that the electronic device 100 may be implemented at the chip level, or may also be implemented at the device level. For example, the electronic device 100 may work as a sending-side network node itself, and may also include external devices such as a memory and a transceiver (not shown in the figure). The memory can be used to store programs and related data information that the sending-side network node needs to execute to implement various functions. The transceiver may include one or more communication interfaces to support communication with different devices (for example, receiving-side network nodes, other sending-side network nodes, etc.), and the implementation form of the transceiver is not specifically limited here.

The sending-side network node here may be a UE in uplink communication between a UE and a base station, or may be a sending-side UE in sidelink communication. In addition, the sending-side network node may also be a mobile network access point that performs a data sending function, and so on. It should be understood that the UE is taken as an example in the description herein, but this is not restrictive.

In addition, the lossy compression described in this article refers to data compression at the MAC layer, which is different from the usual data compression at the higher layers of the protocol. For example, the lossy compression is an additional compression step. After performing lossy compression, a certain amount of data distortion will occur.

The channel status includes, for example, Channel Quality Indicator (CQI) information, which is used to indicate what level of communication quality of the current channel is. For example, in a case where the sending-side network node is a UE and the receiving-side network node is a base station, the channel state is the uplink channel state. If the wireless communication is based on time division duplex (TDD) technology, the determining unit 101 may use the downlink channel state as the uplink channel state based on channel reciprocity, and the downlink channel state may be determined by the UE based on the downlink reference signal (such as SSB, CSI- RS) measurement. If the wireless communication is based on frequency division duplex (FDD) technology, as shown in FIG. 2, the electronic device 100 may further include an obtaining unit 103 configured to obtain information about the uplink channel state from the base station. The uplink channel state may be obtained by the base station based on the measurement of the sounding reference signal (SRS), for example.

When the transmitting-side network node is the transmitting-side UE in D2D communication and the receiving-side network node is the receiving-side UE in D2D communication, the channel state is the side link channel state. The side link channel state can be measured by the sending side network node or the receiving side network node.

The status of the data to be transmitted may include, for example, queue status information of the data packet to be transmitted. Exemplarily, the queue status information may include one or more of the following: the number of data packets in the queue, the priority of each data packet, and the retention time of each data packet in the queue. Specifically, the data packets to be transmitted for various services are arranged in a queue in the order of arrival and sent out. According to this embodiment, it is possible to perform lossy compression on the data packets in the queue according to the data transmission strategy, and adjust the transmission rate of the data packets, for example, several data packets are sent in one time slot.

Among them, the number of data packets in the queue reflects the amount of data to be transmitted. The priority of the data packet can be determined based on the service type carried by the data packet and/or the quality of service (QoS) requirements of the data packet, for example, when the service type is emergency service, paid service, etc. or the QoS requirement of the data packet When it is high (for example, the delay requirement is high), the priority of the data packet is determined to be high. Exemplarily, the QoS requirement of the data packet may include an immediate transmission requirement, which may be obtained from a base station as a receiving-side network node via Downlink Control Information (DCI), or via Sidelink Control Information (Sidelink Control Information, DCI). Control Information (SCI) is obtained from the receiving-side UE as the receiving-side network node. The remaining time of each data packet in the queue represents the necessary degree to which the corresponding data packet needs to be sent as soon as possible.

For ease of understanding, FIG. 3 shows a schematic diagram of an example of a communication system that performs lossy compression on the UE side. In the example of FIG. 3, the UE sends uplink data to the base station, the channel state is the uplink channel state measured and fed back by the base station, and the data state to be transmitted includes queue state information of the data packet to be transmitted. Note that FIG. 3 is only exemplary, and does not limit the application.

As shown in FIG. 3, the acquiring unit 103 acquires channel state information from the base station and acquires queue state information from the queue of the data packet. The determining unit 101 determines the data transmission strategy based on the acquired channel state information and queue state information, that is, how to proceed. Lossy compression coding and data transmission, for example, the lossy compression ratio and transmission rate of data packets can be determined. The sending unit 102 uses the determined data sending strategy to send the lossy compressed data packet to the base station through the sender.

In an example, the determining unit 101 determines the data transmission strategy based on the power consumption of the transmitting-side network node, the time delay of data transmission, and the distortion of the data. For example, the determining unit 101 is configured to determine a data transmission strategy through an optimization algorithm, so that when the data transmission strategy is applied under the current channel state and the state of data to be transmitted, the power consumption of the transmitting side network node is minimized and the data transmission delay requirement is met. And the distortion requirements of the data.

The wireless channel is affected by various environmental factors and changes randomly with time; while the data to be transmitted is determined by the arrival of various services, because the amount of data that each service reaches the sending network node in each time slot is random , So the state of the data to be transmitted is also random. Due to the randomness of the channel state and the state of the data to be transmitted, the determining unit 101 needs to dynamically determine the data transmission strategy, so that the determined data transmission strategy is suitable for the current state.

For example, the channel state can be described by the probability distribution of the channel state, and the state of the data to be transmitted can be described by the probability distribution of the amount of data to be transmitted. For example, the probability of the amount of data to be transmitted for each service can be estimated based on the statistical results of the services that have arrived. distributed.

The determining unit 101 may establish a Markov Decision Process (MDP) problem based on the probability distribution of the channel state and the probability distribution of the amount of data to be transmitted, and determine the data transmission strategy by solving the MDP problem. In this embodiment, it is very important to establish an accurate MDP problem, which relies on prior knowledge of the random environment, including but not limited to the probability distribution of the aforementioned channel state and the probability distribution of the amount of data to be transmitted. For example, the determining unit 101 may estimate the probability distribution of the channel state based on the channel state information, and estimate the probability distribution of the amount of data to be transmitted based on the data samples to be transmitted.

For example, the determining unit 101 may be configured to generate a conditional probability table of the probability of applying each data transmission strategy under the conditions of the probability distribution of the current channel state and the probability distribution of the amount of data to be transmitted, and determine the optimal condition based on the table. The optimal data transmission strategy is used as the data transmission strategy to be applied.

Under the probability distribution of the current channel state and the probability distribution of the amount of data to be transmitted (hereinafter referred to as environmental random distribution), the determining unit 101 determines the system's probability according to the power consumption, data transmission delay, and data distortion degree of the sending-side network node The parameters corresponding to the optimal data transmission strategy in each state, such as the lossy compression ratio and transmission rate of the data packet, are recorded in the form of a list. Among them, the state of the system represents the combination of different channel states and the amount of data to be transmitted. When the determining unit 101 obtains the system status, it can obtain the optimal data transmission strategy by searching the above-mentioned list.

In addition, the determining unit 101 may also determine the data transmission strategy based on the priority of the data packet. For example, when determining the data transmission strategy, it tends to send data packets with high priority first, or to ensure the transmission rate of data packets with high priority, etc. .

For ease of understanding, a simple example of determining the optimal data transmission strategy by solving the MDP problem is given below with reference to FIG. 4. As shown in Figure 4, in this example, the data packet has two priorities, namely priority 1 and priority 2. Among them, priority 1 is higher than priority 2, and data packets with priority 1 cannot be compressed, that is, the compression ratio can only be 1. For packets with priority 2, you can choose to perform lossy compression with a compression ratio of 2, or you can choose not to perform compression. You can choose to transmit {0,1,2} data packets in each time slot.

Among them, s represents the number of data packets to be transmitted in a time slot, and r _i represents a lossy compression scheme. For example, referring to the decision set in Figure 4, when s=1, you can choose to send a packet with priority 1 without compression; you can also choose to send a packet with priority 2, compression ratio 2, or no compression. Packets. When s=2, you can choose to send 2 data packets with priority 1; you can also choose to send 1 data packet with priority 1 and 1 data packet with priority 2 without compression; or choose to send 1 data packet with priority 1 and 1 data packet with priority 2 and compression ratio 2; you can also choose to send 2 data packets with priority 2 and compression ratio 2. The list of the results of the optimization problem in Figure 4 records the conditional probabilities when using different decisions under different channel states and queue states. This is the result obtained by solving the MDP problem under the corresponding channel state and queue state. Among them, i represents the queue status, that is, there are several data packets in the queue, and m represents the channel status. QSI in Figure 4 is the queue status indicator, CSI is the channel status indicator, q[t ₁ ] represents _{the queue status of the t 1} time slot, a[t ₁ ] represents the newly arrived data packet to be transmitted in the _{t 1 time slot, s[} t ₁ ] represents _{the data packet sent in the t 1} time slot, that is, the determined data transmission scheme _{in the t 1 time slot.}

The lower part of FIG. 4 shows a specific example of determining to adopt a data transmission strategy of _{s=2, r i} =r ₃ by looking up the list in the case of i=3 and m=1. As can be seen, there are three packet data to be transmitted in the time slot T ₁ queue, which includes a packet priority 1 and priority 2 2 packets, in which case the channel state 1, according to the above The list determines that two data packets are sent in this time slot, and the following sending scheme is adopted: one data packet with a priority of 1 and one data packet with a priority of 2 and a compression ratio of 2 are sent. Next, in _{time slot t 1} +1, since the first two packets in the queue have been sent out, the newly arrived packet with priority 2 and the remaining packets with priority 2 in the queue constitute the current queue. That is, the queue status is 2, and the channel status is 2 at this time. According to the above list, it is determined that the time slot sends 1 data packet, that is, a data packet with a priority of 2 and uncompressed is sent.

The following will specifically describe how to obtain the list of conditional probabilities shown in FIG. 4.

In the MDP problem of this application, the following optimization problems can be solved:

Among them, P represents the average power of the system, T represents the average delay of the system, D represents the average distortion of the system; T _th represents the average delay requirement of the user; D _th represents the maximum tolerable average distortion of the system, formula (1) Represents the values of s and r that minimize the average power of the system when the average delay and average distortion of the system meet the system requirements, s represents the data transmission rate, for example, a time slot sends several data packets, and r represents the use The lossy compression scheme. in,

In formula (2), ξ _{m, s, r} represents the corresponding power consumption when s data packets are sent when the channel state is m and the lossy compression scheme r is adopted. In formula (3), ψ _{s, r} represents the distortion generated when s data packets are sent and the lossy compression scheme r is used. In formula (4), the expression of the average delay T is obtained according to the little theorem, which is the average queue length divided by the average arrival rate α. In formula (5),

Indicates that there are i packets in the queue and the channel state is m, the system chooses to send s packets and the conditional probability of lossy compression with a lossy compression scheme of r (corresponding to the conditions in the table of the optimization results in Figure 4 Probability);

Indicates that there are i data packets in the queue, and when the channel state is m, the system chooses to send s data packets and the steady-state probability of lossy compression with a lossy compression scheme of r.

Through the above optimization problem, the optimal data transmission strategy can be found in the random strategy space.

Fig. 5 shows a simulation result of the performance of the optimized data transmission strategy based on the MDP problem according to this embodiment. It can be seen that there is an optimal compromise between average power consumption, average delay, and average distortion. For example, given the average power consumption limit of the system, there is an optimal trade-off relationship between average delay and average distortion, as shown in Figure 6, that is, by sacrificing part of the data distortion in exchange for better time延性。 Extension performance. Given the average distortion limit of the system, there is also an optimal compromise between average delay and average power consumption, as shown in Figure 7, that is, lower system power consumption can be traded by sacrificing delay performance. Moreover, given the average delay limit and average distortion limit of the system, the minimum average power consumption of the system can be achieved by dynamically controlling the lossy compression and transmission rate of data packets.

In addition, since the random distribution of the environment will change over time, when the random distribution of the environment changes, the optimization result of the MDP problem will change accordingly. At this time, the construction and solution of the MDP problem need to be re-executed. Therefore, the determining unit 101 is also configured to dynamically update the above-mentioned conditional probability table according to the probability distribution of the channel state and the change of the probability distribution of the amount of data to be transmitted. For example, the determining unit 101 may update the above-mentioned conditional probability table every predetermined time period. Alternatively, the determining unit 101 may monitor the probability distribution of the channel state and the probability distribution of the amount of data to be transmitted, so as to update the above-mentioned conditional probability table when it is found that one of these probability distributions has changed to a predetermined degree.

On the other hand, the optimization algorithm that can be applied when determining the data transmission strategy is not limited to the solution method of the above-mentioned MDP problem, and other optimization algorithms, such as the value iteration algorithm, can also be appropriately adopted.

In the value iteration algorithm, the optimization goal is to minimize the linear combination of average power consumption, average distortion, and average delay of the system, as shown below:

P+βD+γT (6)

Among them, β and γ are the weighting coefficients of the average distortion and average delay of the system, respectively. The problem of minimizing the above linear combination is an unconstrained MDP problem, and the optimal solution of the unconstrained MDP problem can be obtained by using the value iteration algorithm. For example, by traversing all β and γ, find the minimum average power that satisfies the average delay and average distortion constraints, and the corresponding deterministic data transmission strategy at this time.

Figure 8a shows a schematic diagram of a related information flow between a UE and a base station. First, if the TDD communication mode is adopted between the UE and the base station, the base station sends a training sequence such as a reference signal to the UE so that the UE measures the downlink channel state based on the reference signal, and obtains the uplink channel state based on the channel reciprocity. On the other hand, if the FDD communication mode is adopted between the UE and the base station, the base station can estimate the uplink channel state based on SRS and send the uplink channel state information to the UE through DCI, as shown by the dotted line in FIG. 8a.

Then, the UE, for example, uses the above optimization algorithm to determine a data transmission strategy according to the channel state and the state of the data to be transmitted, and the UE provides information about the lossy compression ratio of the data packet to the base station so that the base station can decode the data correctly. The UE may also provide information about the priority of the data packet to the base station. For example, the UE may send information about the lossy compression ratio or priority to the base station through the physical uplink shared channel (PUSCH). Then, the UE uses the determined data transmission strategy to send the data packets in the queue to the base station.

On the other hand, if the communication link between the sending side network node and the receiving side network node is a side link, for example, the side link communication is between UE 1 (as the sending side network node) and UE 2 (as the receiving side network node). ), the related information flow between the two UEs can be as shown in Figure 8b. Similarly, in the case of the TDD communication mode, UE 1 can estimate the channel state from UE 2 to UE 1 based on the measurement of the training sequence from UE 2 and obtain the channel status from UE 1 to UE 2 based on the channel reciprocity. In the case of the FDD communication mode, UE 2 estimates the channel state from UE 1 to UE 2 and provides the estimation result to UE 1 through SCI (shown by the dotted line in Figure 8b). Then, the UE 1 uses the above optimization algorithm to determine the data transmission strategy according to the channel state and the state of the data to be transmitted, and the UE 1 provides the information about the lossy compression ratio of the data packet to the UE 2, so that the UE 2 can correctly Data decoding. The UE 1 can also provide the UE 2 with information about the priority of the data packet. For example, the UE 1 may provide the UE 2 with information about the lossy compression ratio or priority of the data packet via the physical side link shared channel (PSSCH). Then, UE1 uses the determined data transmission strategy to send the data packets in the queue to UE2.

In addition, the base station can also provide the UE with the quality of service requirements of the data packet through DCI, such as sending the request immediately. Similarly, for the side link situation, the receiving side UE can provide the sending side UE with the quality of service requirements of the data packet through the side link control information (SCI).

In summary, the electronic device 100 according to the present embodiment can dynamically control the lossy compression and the transmission rate of the transmitted data according to the channel state and the state of the data to be transmitted, which can effectively reduce the time delay and reduce the power consumption. In addition, by determining the data transmission strategy based on the different QoS requirements of different services, it is also possible to better meet the QoS requirements of different services.

<Second Embodiment>

FIG. 9 shows a block diagram of functional modules of an electronic device 200 according to another embodiment of the present application. As shown in FIG. 9, the electronic device 200 includes: an acquiring unit 201 configured to acquire information about a data packet from a sending-side network node Lossy compression ratio information, where the sending-side network node determines a data transmission strategy based on at least the channel state and the state of the data to be transmitted, the data transmission strategy including the lossy compression scheme of the data packet and the transmission rate of the data packet; and the receiving unit 202, It is configured to receive data packets from the sending-side network node based on the above-mentioned information.

Wherein, the acquiring unit 201 and the receiving unit 202 may be implemented by one or more processing circuits, and the processing circuit may be implemented as a chip or a processor, for example. Moreover, it should be understood that each functional unit in the electronic device shown in FIG. 9 is only a logical module divided according to the specific function implemented by it, and is not used to limit the specific implementation manner.

The electronic device 200 may, for example, be provided at a receiving-side network node or be communicably connected to the receiving-side network node. The receiving-side network node described in this application may be a base station, a Transmit Receive Point (TRP), an Access Point (Access Point, AP), or a receiving-side UE. Here, it should also be pointed out that the electronic device 200 may be implemented at the chip level, or may also be implemented at the device level. For example, the electronic device 200 may work as a receiving-side network node itself, and may also include external devices such as a memory, a transceiver (not shown), and the like. The memory can be used to store programs and related data information that need to be executed by the receiving-side network node to implement various functions. The transceiver may include one or more communication interfaces to support communication with different devices (for example, UE, other receiving-side network nodes, etc.), and the implementation form of the transceiver is not specifically limited here.

At the sending-side network node, a data sending strategy is determined based on the channel state and the state of the data to be transmitted, specifically, the lossy compression scheme and data sending rate of the data packet. The data sending strategy can reduce the function of the sending-side network node. Consumption and time delay to meet the QoS requirements of various services. The channel state may include, for example, channel quality indicator information, and the channel state information may be obtained by the sending-side network node itself, or may be provided by the receiving-side network node.

In order to enable the receiving-side network node to correctly decode the received data, the obtaining unit 201 obtains the lossy compression ratio information of the data packet from the sending-side network node. In addition, the acquiring unit 201 may also acquire the priority information of the data packet from the sending-side network node. In the case where the sending-side network node is a UE and the receiving-side network node is a base station, the obtaining unit 201 may obtain the information via the PUSCH.

At this time, the channel state is the uplink channel state. In the case that the wireless communication is based on FDD, the electronic device 200 may, for example, further include a sending unit 203 (as shown in FIG. 10), which is configured to send uplink channel state information to the UE. For example, the obtaining unit 201 may also be configured to obtain the information of the uplink channel state by measuring the SRS.

On the other hand, when the communication link between the sending-side network node and the receiving-side network node is a side link, the obtaining unit 201 may obtain the lossy compression ratio or priority of the data packet from the sending-side network node via the PSSCH. Information.

In addition, the sending unit 203 may also be configured to send the QoS requirements of the data packet to the sending-side network node through DCI or SCI, for example, including an immediate sending request. In this way, when determining the data transmission strategy, the sending-side network node can further be based on the QoS requirement of the data packet. The relevant details have been given in the first embodiment, and will not be repeated here.

In summary, the electronic device 200 according to the present application can receive data packets whose lossy compression ratio and transmission rate are dynamically controlled, thereby effectively reducing time delay and power consumption.

<Third Embodiment>

In the process of describing the electronic device for wireless communication in the above embodiments, some processing or methods are obviously disclosed. Hereinafter, an outline of these methods is given without repeating some of the details that have been discussed above, but it should be noted that although these methods are disclosed in the process of describing electronic devices for wireless communication, these methods do not necessarily adopt Those components described may not necessarily be executed by those components. For example, the implementation of an electronic device for wireless communication may be partially or completely implemented using hardware and/or firmware, while the method for wireless communication discussed below may be fully implemented by a computer-executable program, although these The method may also employ hardware and/or firmware of an electronic device for wireless communication.

FIG. 11 shows a flowchart of a method for wireless communication according to an embodiment of the present application. The method includes: determining a data sending strategy of a sending-side network node based on at least a channel state and a data state to be transmitted, and the data sending The strategy includes the lossy compression scheme of the data packet and the sending rate of the data packet (S11); and the sending of the data packet to the receiving-side network node based on the data sending strategy (S12). This method can be executed at the sending side network node, for example.

For example, the channel status may include channel quality indicator information. In an example, the channel state is the uplink channel state. When the wireless communication is based on TDD technology, the downlink channel state can be used as the uplink channel state based on channel reciprocity; when the wireless communication is based on FDD technology, it can be from The base station obtains information about the status of the uplink channel. For example, the uplink channel state is obtained by the base station based on the measurement of the SRS.

The status of the data to be transmitted includes, for example, the queue status information of the data packets to be transmitted. The queue status information includes one or more of the following: the number of data packets in the queue, the priority of each data packet, and the retention of each data packet in the queue time.

In step S11, the data transmission strategy may be determined based on the power consumption of the transmitting-side network node, the time delay of data transmission, and the distortion of the data. For example, an optimization algorithm can be used to determine a data transmission strategy, so that when the data transmission strategy is applied under the current channel state and the state of the data to be transmitted, the power consumption of the network node on the transmitting side is minimized while meeting the delay requirements of data transmission and data transmission. Distortion requirements. As an example, an MDP problem can be established based on the probability distribution of the channel state and the probability distribution of the amount of data to be transmitted, and the data transmission strategy can be determined by solving the MDP problem. For example, the probability distribution of the channel state may be estimated based on the channel state information, and the probability distribution of the amount of data to be transmitted may be estimated based on the data samples to be transmitted.

For example, generate a table of conditional probabilities of the probability of applying each data transmission strategy under the conditions of the probability distribution of the current channel state and the probability distribution of the amount of data to be transmitted, and determine the optimal data transmission strategy based on the table. The applied data sending strategy.

In addition, the above table can also be dynamically updated according to the probability distribution of the channel state and the change of the probability distribution of the amount of data to be transmitted. For example, the above-mentioned table may be updated every predetermined time period.

On the other hand, a value iteration algorithm can also be used as an optimization algorithm.

In addition, the data transmission strategy may also be determined based on the priority of the data packet. The priority of the data packet may be determined based on, for example, the service type of the service carried by the data packet and/or the QoS requirement of the data packet. The QoS requirement of the data packet includes, for example, an immediate transmission requirement, and the QoS requirement of the data packet can be obtained from the receiving-side network node via DCI or SCI.

In step S12, information about the lossy compression ratio of the data packet may be sent to the receiving-side network node. In addition, information about the priority of the data packet can be sent to the receiving network node. For example, these information can be transmitted via PUSCH or PSSCH.

Fig. 12 shows a flowchart of a method for wireless communication according to another embodiment of the present application. The method includes: acquiring information about a lossy compression ratio of a data packet from a sending-side network node (S21), wherein, The sending-side network node determines a data sending strategy based on at least the channel state and the state of the data to be transmitted, the data sending strategy including the lossy compression scheme of the data packet and the sending rate of the data packet; and receiving information from the sending-side network node based on the above information Data packet (S22). This method can be executed on the receiving side network node side, for example.

For example, in S21, information about the priority of the data packet can also be obtained from the sending-side network node. For example, this information can be obtained via PUSCH or PSSCH.

In an example, the channel state is an uplink channel state. In a case where the wireless communication is based on the FDD technology, the above method further includes sending the uplink channel state information to the UE as the sending side network node. For example, the information of the uplink channel state can be obtained by measuring the SRS. The channel status includes, for example, channel quality indicator information.

The foregoing method may further include sending a service quality requirement of the data packet to the sending-side network node through DCI or SCI, and the service quality requirement includes, for example, an immediate sending request.

Note that the above methods can be used in combination or alone, and the details have been described in detail in the first to second embodiments, and will not be repeated here.

The technology of the present disclosure can be applied to various products.

For example, the electronic devices 100 and 200 may be implemented as various user devices. The user equipment may be implemented as a mobile terminal (such as a smart phone, a tablet personal computer (PC), a notebook PC, a portable game terminal, a portable/dongle type mobile router, and a digital camera) or a vehicle-mounted terminal (such as a car navigation device). The user equipment may also be implemented as a terminal (also referred to as a machine type communication (MTC) terminal) that performs machine-to-machine (M2M) communication. In addition, the user equipment may be a wireless communication module (such as an integrated circuit module including a single chip) installed on each of the aforementioned terminals.

The electronic device 200 may also be implemented as various base stations. The base station can be implemented as any type of evolved Node B (eNB) or gNB (5G base station). eNBs include, for example, macro eNBs and small eNBs. A small eNB may be an eNB that covers a cell smaller than a macro cell, such as a pico eNB, a micro eNB, and a home (femto) eNB. A similar situation can also be used for gNB. Instead, the base station may be implemented as any other type of base station, such as NodeB and base transceiver station (BTS). The base station may include: a main body (also referred to as a base station device) configured to control wireless communication; and one or more remote wireless heads (RRH) arranged in a different place from the main body. In addition, various types of user equipment can work as a base station by temporarily or semi-persistently performing base station functions.

[Application example of base station]

(First application example)

FIG. 13 is a block diagram showing a first example of a schematic configuration of an eNB or gNB to which the technology of the present disclosure can be applied. Note that the following description takes eNB as an example, but it can also be applied to gNB. The eNB 800 includes one or more antennas 810 and a base station device 820. The base station device 820 and each antenna 810 may be connected to each other via an RF cable.

Each of the antennas 810 includes a single or multiple antenna elements (such as multiple antenna elements included in a multiple input multiple output (MIMO) antenna), and is used for the base station device 820 to transmit and receive wireless signals. As shown in FIG. 13, the eNB 800 may include multiple antennas 810. For example, multiple antennas 810 may be compatible with multiple frequency bands used by eNB 800. Although FIG. 13 shows an example in which the eNB 800 includes multiple antennas 810, the eNB 800 may also include a single antenna 810.

The base station device 820 includes a controller 821, a memory 822, a network interface 823, and a wireless communication interface 825.

The controller 821 may be, for example, a CPU or a DSP, and operates various functions of a higher layer of the base station device 820. For example, the controller 821 generates a data packet based on the data in the signal processed by the wireless communication interface 825, and transmits the generated packet via the network interface 823. The controller 821 may bundle data from multiple baseband processors to generate a bundled packet, and transfer the generated bundled packet. The controller 821 may have a logic function for performing control such as radio resource control, radio bearer control, mobility management, admission control, and scheduling. This control can be performed in conjunction with nearby eNBs or core network nodes. The memory 822 includes RAM and ROM, and stores programs executed by the controller 821 and various types of control data (such as a terminal list, transmission power data, and scheduling data).

The network interface 823 is a communication interface for connecting the base station device 820 to the core network 824. The controller 821 may communicate with the core network node or another eNB via the network interface 823. In this case, the eNB 800 and the core network node or other eNBs may be connected to each other through a logical interface (such as an S1 interface and an X2 interface). The network interface 823 may also be a wired communication interface or a wireless communication interface for a wireless backhaul line. If the network interface 823 is a wireless communication interface, the network interface 823 can use a higher frequency band for wireless communication than the frequency band used by the wireless communication interface 825.

The wireless communication interface 825 supports any cellular communication scheme, such as Long Term Evolution (LTE) and LTE-Advanced, and provides a wireless connection to a terminal located in the cell of the eNB 800 via the antenna 810. The wireless communication interface 825 may generally include, for example, a baseband (BB) processor 826 and an RF circuit 827. The BB processor 826 can perform, for example, encoding/decoding, modulation/demodulation, and multiplexing/demultiplexing, and perform layers (such as L1, medium access control (MAC), radio link control (RLC), and packet data convergence protocol ( PDCP)) various types of signal processing. Instead of the controller 821, the BB processor 826 may have a part or all of the above-mentioned logical functions. The BB processor 826 may be a memory storing a communication control program, or a module including a processor and related circuits configured to execute the program. The update program can change the function of the BB processor 826. The module may be a card or a blade inserted into the slot of the base station device 820. Alternatively, the module can also be a chip mounted on a card or blade. Meanwhile, the RF circuit 827 may include, for example, a mixer, a filter, and an amplifier, and transmit and receive wireless signals via the antenna 810.

As shown in FIG. 13, the wireless communication interface 825 may include a plurality of BB processors 826. For example, multiple BB processors 826 may be compatible with multiple frequency bands used by eNB 800. As shown in FIG. 13, the wireless communication interface 825 may include a plurality of RF circuits 827. For example, multiple RF circuits 827 may be compatible with multiple antenna elements. Although FIG. 13 shows an example in which the wireless communication interface 825 includes a plurality of BB processors 826 and a plurality of RF circuits 827, the wireless communication interface 825 may also include a single BB processor 826 or a single RF circuit 827.

In the eNB 800 shown in FIG. 13, the acquiring unit 201, the receiving unit 202, the sending unit 203, and the transceiver of the electronic device 200 may be implemented by a wireless communication interface 825. At least part of the functions may also be implemented by the controller 821. For example, the controller 821 can receive the data packet according to the data transmission strategy of the sending-side network node by executing the functions of the acquiring unit 201, the receiving unit 202, and the sending unit 203.

(Second application example)

FIG. 14 is a block diagram showing a second example of a schematic configuration of an eNB or gNB to which the technology of the present disclosure can be applied. Note that similarly, the following description takes eNB as an example, but it can also be applied to gNB. The eNB 830 includes one or more antennas 840, base station equipment 850, and RRH 860. The RRH 860 and each antenna 840 may be connected to each other via an RF cable. The base station device 850 and the RRH 860 may be connected to each other via a high-speed line such as an optical fiber cable.

Each of the antennas 840 includes a single or multiple antenna elements (such as multiple antenna elements included in a MIMO antenna) and is used for the RRH 860 to transmit and receive wireless signals. As shown in FIG. 14, the eNB 830 may include multiple antennas 840. For example, multiple antennas 840 may be compatible with multiple frequency bands used by eNB 830. Although FIG. 14 shows an example in which the eNB 830 includes multiple antennas 840, the eNB 830 may also include a single antenna 840.

The base station equipment 850 includes a controller 851, a memory 852, a network interface 853, a wireless communication interface 855, and a connection interface 857. The controller 851, the memory 852, and the network interface 853 are the same as the controller 821, the memory 822, and the network interface 823 described with reference to FIG. 13.

The wireless communication interface 855 supports any cellular communication scheme (such as LTE and LTE-Advanced), and provides wireless communication to a terminal located in a sector corresponding to the RRH 860 via the RRH 860 and the antenna 840. The wireless communication interface 855 may generally include, for example, a BB processor 856. The BB processor 856 is the same as the BB processor 826 described with reference to FIG. 13 except that the BB processor 856 is connected to the RF circuit 864 of the RRH 860 via the connection interface 857. As shown in FIG. 14, the wireless communication interface 855 may include a plurality of BB processors 856. For example, multiple BB processors 856 may be compatible with multiple frequency bands used by eNB 830. Although FIG. 14 shows an example in which the wireless communication interface 855 includes a plurality of BB processors 856, the wireless communication interface 855 may also include a single BB processor 856.

The connection interface 857 is an interface for connecting the base station device 850 (wireless communication interface 855) to the RRH 860. The connection interface 857 may also be a communication module used to connect the base station device 850 (wireless communication interface 855) to the communication in the above-mentioned high-speed line of the RRH 860.

The RRH 860 includes a connection interface 861 and a wireless communication interface 863.

The connection interface 861 is an interface for connecting the RRH 860 (wireless communication interface 863) to the base station device 850. The connection interface 861 may also be a communication module used for communication in the above-mentioned high-speed line.

The wireless communication interface 863 transmits and receives wireless signals via the antenna 840. The wireless communication interface 863 may generally include, for example, an RF circuit 864. The RF circuit 864 may include, for example, a mixer, a filter, and an amplifier, and transmit and receive wireless signals via the antenna 840. As shown in FIG. 14, the wireless communication interface 863 may include a plurality of RF circuits 864. For example, multiple RF circuits 864 can support multiple antenna elements. Although FIG. 14 shows an example in which the wireless communication interface 863 includes a plurality of RF circuits 864, the wireless communication interface 863 may also include a single RF circuit 864.

In the eNB 830 shown in FIG. 14, the acquiring unit 201, the receiving unit 202, the sending unit 203, and the transceiver of the electronic device 200 may be implemented by the wireless communication interface 855 and/or the wireless communication interface 863. At least part of the functions may also be implemented by the controller 851. For example, the controller 851 can receive data packets according to the data sending strategy of the sending network node by executing the functions of the acquiring unit 201, the receiving unit 202, and the sending unit 203.

[Application example of user equipment]

(First application example)

FIG. 15 is a block diagram showing an example of a schematic configuration of a smart phone 900 to which the technology of the present disclosure can be applied. The smartphone 900 includes a processor 901, a memory 902, a storage device 903, an external connection interface 904, a camera 906, a sensor 907, a microphone 908, an input device 909, a display device 910, a speaker 911, a wireless communication interface 912, one or more An antenna switch 915, one or more antennas 916, a bus 917, a battery 918, and an auxiliary controller 919.

The processor 901 may be, for example, a CPU or a system on a chip (SoC), and controls the functions of the application layer and other layers of the smart phone 900. The memory 902 includes RAM and ROM, and stores data and programs executed by the processor 901. The storage device 903 may include a storage medium such as a semiconductor memory and a hard disk. The external connection interface 904 is an interface for connecting an external device such as a memory card and a universal serial bus (USB) device to the smart phone 900.

The imaging device 906 includes an image sensor such as a charge coupled device (CCD) and a complementary metal oxide semiconductor (CMOS), and generates a captured image. The sensor 907 may include a group of sensors, such as a measurement sensor, a gyroscope sensor, a geomagnetic sensor, and an acceleration sensor. The microphone 908 converts the sound input to the smart phone 900 into an audio signal. The input device 909 includes, for example, a touch sensor, a keypad, a keyboard, a button, or a switch configured to detect a touch on the screen of the display device 910, and receives an operation or information input from the user. The display device 910 includes a screen such as a liquid crystal display (LCD) and an organic light emitting diode (OLED) display, and displays an output image of the smartphone 900. The speaker 911 converts the audio signal output from the smartphone 900 into sound.

The wireless communication interface 912 supports any cellular communication scheme (such as LTE and LTE-Advanced), and performs wireless communication. The wireless communication interface 912 may generally include, for example, a BB processor 913 and an RF circuit 914. The BB processor 913 may perform, for example, encoding/decoding, modulation/demodulation, and multiplexing/demultiplexing, and perform various types of signal processing for wireless communication. Meanwhile, the RF circuit 914 may include, for example, a mixer, a filter, and an amplifier, and transmit and receive wireless signals via the antenna 916. Note that although the figure shows a situation where one RF link is connected to one antenna, this is only illustrative, and also includes a situation where one RF link is connected to multiple antennas through multiple phase shifters. The wireless communication interface 912 may be a chip module on which the BB processor 913 and the RF circuit 914 are integrated. As shown in FIG. 15, the wireless communication interface 912 may include a plurality of BB processors 913 and a plurality of RF circuits 914. Although FIG. 15 shows an example in which the wireless communication interface 912 includes a plurality of BB processors 913 and a plurality of RF circuits 914, the wireless communication interface 912 may also include a single BB processor 913 or a single RF circuit 914.

In addition, in addition to the cellular communication scheme, the wireless communication interface 912 may support another type of wireless communication scheme, such as a short-range wireless communication scheme, a near field communication scheme, and a wireless local area network (LAN) scheme. In this case, the wireless communication interface 912 may include a BB processor 913 and an RF circuit 914 for each wireless communication scheme.

Each of the antenna switches 915 switches the connection destination of the antenna 916 among a plurality of circuits included in the wireless communication interface 912 (for example, circuits for different wireless communication schemes).

Each of the antennas 916 includes a single or multiple antenna elements (such as multiple antenna elements included in a MIMO antenna), and is used for the wireless communication interface 912 to transmit and receive wireless signals. As shown in FIG. 15, the smart phone 900 may include multiple antennas 916. Although FIG. 15 shows an example in which the smart phone 900 includes a plurality of antennas 916, the smart phone 900 may also include a single antenna 916.

In addition, the smart phone 900 may include an antenna 916 for each wireless communication scheme. In this case, the antenna switch 915 may be omitted from the configuration of the smartphone 900.

The bus 917 connects the processor 901, the memory 902, the storage device 903, the external connection interface 904, the camera 906, the sensor 907, the microphone 908, the input device 909, the display device 910, the speaker 911, the wireless communication interface 912, and the auxiliary controller 919 to each other. connect. The battery 918 supplies power to each block of the smart phone 900 shown in FIG. 15 via a feeder line, and the feeder line is partially shown as a dashed line in the figure. The auxiliary controller 919 operates the minimum necessary functions of the smartphone 900 in the sleep mode, for example.

In the smart phone 900 shown in FIG. 15, the sending unit 102, the acquiring unit 103, the transceiver of the electronic device 100, and the acquiring unit 201, receiving unit 202, sending unit 203, and transceiver of the electronic device 200 can be connected to the wireless communication interface 912. accomplish. At least a part of the function may also be implemented by the processor 901 or the auxiliary controller 919. For example, the processor 901 or the auxiliary controller 919 may determine a data transmission strategy based on the channel state and the state of the data to be transmitted by executing the functions of the determining unit 101, the transmitting unit 102, and the acquiring unit 103, and use the determined data transmission strategy to transmit data packets. , By executing the functions of the acquiring unit 201, the receiving unit 202, and the sending unit 203, the data packet is received according to the data sending strategy of the sending-side network node.

(Second application example)

FIG. 16 is a block diagram showing an example of a schematic configuration of a car navigation device 920 to which the technology of the present disclosure can be applied. The car navigation device 920 includes a processor 921, a memory 922, a global positioning system (GPS) module 924, a sensor 925, a data interface 926, a content player 927, a storage medium interface 928, an input device 929, a display device 930, a speaker 931, wireless The communication interface 933, one or more antenna switches 936, one or more antennas 937, and a battery 938.

The processor 921 may be, for example, a CPU or SoC, and controls the navigation function of the car navigation device 920 and other functions. The memory 922 includes RAM and ROM, and stores data and programs executed by the processor 921.

The GPS module 924 uses GPS signals received from GPS satellites to measure the position of the car navigation device 920 (such as latitude, longitude, and altitude). The sensor 925 may include a group of sensors, such as a gyro sensor, a geomagnetic sensor, and an air pressure sensor. The data interface 926 is connected to, for example, an in-vehicle network 941 via a terminal not shown, and acquires data (such as vehicle speed data) generated by the vehicle.

The content player 927 reproduces content stored in a storage medium such as CD and DVD, which is inserted into the storage medium interface 928. The input device 929 includes, for example, a touch sensor, a button, or a switch configured to detect a touch on the screen of the display device 930, and receives an operation or information input from the user. The display device 930 includes a screen such as an LCD or OLED display, and displays an image of a navigation function or reproduced content. The speaker 931 outputs the sound of the navigation function or the reproduced content.

The wireless communication interface 933 supports any cellular communication scheme such as LTE and LTE-Advanced, and performs wireless communication. The wireless communication interface 933 may generally include, for example, a BB processor 934 and an RF circuit 935. The BB processor 934 may perform, for example, encoding/decoding, modulation/demodulation, and multiplexing/demultiplexing, and perform various types of signal processing for wireless communication. Meanwhile, the RF circuit 935 may include, for example, a mixer, a filter, and an amplifier, and transmit and receive wireless signals via the antenna 937. The wireless communication interface 933 can also be a chip module on which the BB processor 934 and the RF circuit 935 are integrated. As shown in FIG. 16, the wireless communication interface 933 may include a plurality of BB processors 934 and a plurality of RF circuits 935. Although FIG. 16 shows an example in which the wireless communication interface 933 includes a plurality of BB processors 934 and a plurality of RF circuits 935, the wireless communication interface 933 may also include a single BB processor 934 or a single RF circuit 935.

In addition, in addition to the cellular communication scheme, the wireless communication interface 933 may support another type of wireless communication scheme, such as a short-range wireless communication scheme, a near field communication scheme, and a wireless LAN scheme. In this case, the wireless communication interface 933 may include a BB processor 934 and an RF circuit 935 for each wireless communication scheme.

Each of the antenna switches 936 switches the connection destination of the antenna 937 among a plurality of circuits included in the wireless communication interface 933, such as circuits for different wireless communication schemes.

Each of the antennas 937 includes a single or multiple antenna elements (such as multiple antenna elements included in a MIMO antenna), and is used for the wireless communication interface 933 to transmit and receive wireless signals. As shown in FIG. 16, the car navigation device 920 may include a plurality of antennas 937. Although FIG. 16 shows an example in which the car navigation device 920 includes a plurality of antennas 937, the car navigation device 920 may also include a single antenna 937.

In addition, the car navigation device 920 may include an antenna 937 for each wireless communication scheme. In this case, the antenna switch 936 may be omitted from the configuration of the car navigation device 920.

The battery 938 supplies power to each block of the car navigation device 920 shown in FIG. 16 via a feeder line, and the feeder line is partially shown as a dashed line in the figure. The battery 938 accumulates electric power supplied from the vehicle.

In the car navigation device 920 shown in FIG. 16, the sending unit 102, the acquiring unit 103, the transceiver of the electronic device 100 and the acquiring unit 201, receiving unit 202, sending unit 203, and transceiver of the electronic device 200 can be connected by a wireless communication interface. 933 achieved. At least part of the functions may also be implemented by the processor 921. For example, the processor 921 may determine a data transmission strategy based on the channel state and the state of the data to be transmitted by executing the functions of the determining unit 101, the transmitting unit 102, and the acquiring unit 103, and use the determined data transmission strategy to transmit data packets, by executing the acquiring unit 201. The functions of the receiving unit 202 and the sending unit 203 are to receive data packets according to the data sending strategy of the sending network node.

The technology of the present disclosure may also be implemented as an in-vehicle system (or vehicle) 940 including one or more blocks in the car navigation device 920, the in-vehicle network 941, and the vehicle module 942. The vehicle module 942 generates vehicle data (such as vehicle speed, engine speed, and failure information), and outputs the generated data to the in-vehicle network 941.

The basic principles of the present disclosure are described above in conjunction with specific embodiments. However, it should be pointed out that for those skilled in the art, all or any steps or components of the method and device of the present disclosure can be understood to be in any computing device ( In a network including processors, storage media, etc.) or computing devices, it is implemented in the form of hardware, firmware, software, or a combination thereof. This is the basic circuit design used by those skilled in the art after reading the description of the present disclosure. Knowledge or basic programming skills can be achieved.

Moreover, the present disclosure also proposes a program product storing machine-readable instruction codes. When the instruction code is read and executed by a machine, the above-mentioned method according to the embodiment of the present disclosure can be executed.

Correspondingly, a storage medium for carrying the above-mentioned program product storing machine-readable instruction codes is also included in the disclosure of the present disclosure. The storage medium includes, but is not limited to, a floppy disk, an optical disk, a magneto-optical disk, a memory card, a memory stick, and so on.

When the present disclosure is implemented by software or firmware, a computer with a dedicated hardware structure (such as the general-purpose computer 1700 shown in FIG. 17) is installed from a storage medium or a network to the program constituting the software, and the computer is installed with various programs. When, can perform various functions and so on.

In FIG. 17, a central processing unit (CPU) 1701 executes various processes in accordance with a program stored in a read only memory (ROM) 1702 or a program loaded from a storage portion 1708 to a random access memory (RAM) 1703. In the RAM 1703, data required when the CPU 1701 executes various processes and the like is also stored as necessary. The CPU 1701, the ROM 1702, and the RAM 1703 are connected to each other via a bus 1704. The input/output interface 1705 is also connected to the bus 1704.

The following components are connected to the input/output interface 1705: input part 1706 (including keyboard, mouse, etc.), output part 1707 (including display, such as cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.), Storage part 1708 (including hard disk, etc.), communication part 1709 (including network interface card such as LAN card, modem, etc.). The communication section 1709 performs communication processing via a network such as the Internet. The driver 1710 can also be connected to the input/output interface 1705 according to needs. Removable media 1711 such as magnetic disks, optical disks, magneto-optical disks, semiconductor memory, etc. are installed on the drive 1710 as needed, so that the computer programs read out therefrom are installed into the storage portion 1708 as needed.

In the case of realizing the above-mentioned series of processing by software, a program constituting the software is installed from a network such as the Internet or a storage medium such as a removable medium 1711.

Those skilled in the art should understand that this storage medium is not limited to the removable medium 1711 shown in FIG. 17 where the program is stored and distributed separately from the device to provide the program to the user. Examples of removable media 1711 include magnetic disks (including floppy disks (registered trademarks)), optical disks (including compact disk read-only memory (CD-ROM) and digital versatile disks (DVD)), magneto-optical disks (including mini disks (MD) (registered Trademark)) and semiconductor memory. Alternatively, the storage medium may be a ROM 1702, a hard disk included in the storage portion 1708, etc., in which programs are stored and distributed to users together with the devices containing them.

It should also be pointed out that in the device, method, and system of the present disclosure, each component or each step can be decomposed and/or recombined. These decomposition and/or recombination should be regarded as equivalent solutions of the present disclosure. In addition, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order in the order of description, but it is not necessarily performed in chronological order. Certain steps can be performed in parallel or independently of each other.

Finally, it should be noted that the terms "include", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also It also includes other elements that are not explicitly listed, or elements inherent to the process, method, article, or equipment. In addition, if there are no more restrictions, the element defined by the sentence "including a..." does not exclude the existence of other same elements in the process, method, article, or equipment that includes the element.

Although the embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings, it should be understood that the above-described embodiments are only used to illustrate the present disclosure, and do not constitute a limitation to the present disclosure. For those skilled in the art, various modifications and changes can be made to the foregoing embodiments without departing from the essence and scope of the present disclosure. Therefore, the scope of the present disclosure is limited only by the appended claims and their equivalent meanings.

Claims (30)

1. An electronic device for wireless communication, including:

   The processing circuit is configured as:

   Determine the data transmission strategy of the sending-side network node based on at least the channel state and the state of the data to be transmitted, the data transmission strategy including the lossy compression scheme of the data packet and the transmission rate of the data packet; and

   Sending the data packet to the receiving-side network node based on the data sending strategy.
2. The electronic device according to claim 1, wherein the processing circuit is further configured to send information about the lossy compression ratio of the data packet to the receiving-side network node.
3. The electronic device according to claim 2, wherein the processing circuit is configured to transmit the information via a physical uplink shared channel or a physical side link shared channel.
4. The electronic device according to claim 2, wherein the processing circuit is further configured to determine the data transmission strategy based on the priority of the data packet, and the priority of the data packet is based on the priority of the service carried by the data packet. The service type and/or the quality of service requirements of the data package are determined.
5. The electronic device according to claim 4, the processing circuit is further configured to send information about the priority of the data packet to the receiving-side network node.
6. The electronic device according to claim 4, wherein the quality of service requirement of the data packet includes an immediate delivery requirement.
7. The electronic device according to claim 6, wherein the processing circuit is configured to obtain the quality of service requirement of the data packet from the receiving-side network node via downlink control information or side link control information.
8. The electronic device according to claim 1, wherein the processing circuit is further configured to determine the data transmission strategy based on the power consumption of the transmitting-side network node, the time delay of data transmission, and the distortion of the data.
9. The electronic device according to claim 8, wherein the processing circuit is configured to determine the data transmission strategy through an optimization algorithm, so that when the data transmission strategy is applied under the current channel state and the state of the data to be transmitted, The power consumption of the network node on the sending side is minimized while meeting the time delay requirement of data transmission and the distortion requirement of data.
10. The electronic device according to claim 9, wherein the processing circuit is configured to establish a Markov decision process problem based on the probability distribution of the channel state and the probability distribution of the amount of data to be transmitted, and by solving the Markov The decision-making process problem is used to determine the data transmission strategy.
11. The electronic device according to claim 10, wherein the processing circuit is configured to generate a conditional probability of the probability of applying each data transmission strategy under the conditions of the probability distribution of the current channel state and the probability distribution of the amount of data to be transmitted Based on the table, the optimal data transmission strategy is determined as the data transmission strategy to be applied.
12. 11. The electronic device according to claim 11, wherein the processing circuit is further configured to dynamically update the table according to changes in the probability distribution of the channel state and the probability distribution of the amount of data to be transmitted.
13. The electronic device according to claim 12, wherein the processing circuit is configured to update the table every predetermined period of time.
14. The electronic device according to claim 10, wherein the processing circuit is configured to estimate the probability distribution of the channel state based on channel state information, and to estimate the probability distribution of the amount of data to be transmitted based on the data samples to be transmitted .
15. The electronic device according to claim 9, wherein the optimization algorithm is a value iteration algorithm.
16. The electronic device according to claim 1, wherein the channel state is an uplink channel state, and when the wireless communication is based on a time division duplex technology, the processing circuit is configured to use downlink based on channel reciprocity. The channel state is used as the uplink channel state.
17. The electronic device according to claim 1, wherein the channel state is an uplink channel state, and when the wireless communication is based on frequency division duplex technology, the processing circuit is configured to obtain the uplink channel from a base station Status information.
18. The electronic device according to claim 17, wherein the uplink channel state is obtained by the base station based on a sounding reference signal measurement.
19. The electronic device according to claim 1, wherein the channel state includes channel quality indicator information.
20. The electronic device according to claim 1, wherein the state of the data to be transmitted includes queue state information of the data packet to be transmitted, and the queue state information includes one or more of the following: the number of data packets in the queue, each The priority of the data packet, the time that each data packet has been in the queue.
21. An electronic device for wireless communication, including:

    The processing circuit is configured as:

    Obtain information about the lossy compression ratio of the data packet from the sending-side network node, where the sending-side network node determines a data transmission strategy based on at least the channel state and the state of the data to be transmitted, and the data transmission strategy includes the lossy compression ratio of the data packet. The compression scheme and the sending rate of data packets; and

    Receiving the data packet from the sending-side network node based on the information.
22. The electronic device according to claim 21, wherein the processing circuit is further configured to obtain information about the priority of the data packet from the sending-side network node.
23. The electronic device according to claim 21, wherein the processing circuit is configured to obtain the information via a physical uplink shared channel or a physical side link shared channel.
24. The electronic device according to claim 21, wherein the channel state is an uplink channel state, and when the wireless communication is based on frequency division duplex technology, the processing circuit is further configured to serve as the transmitting side The user equipment of the network node sends the uplink channel state information.
25. The electronic device according to claim 24, wherein the processing circuit is configured to obtain the information of the uplink channel state by measuring sounding reference signals.
26. The electronic device according to claim 21, wherein the channel state includes channel quality indicator information.
27. The electronic device according to claim 21, wherein the processing circuit is further configured to send the quality of service requirement of the data packet to the sending side network node through downlink control information or side link control information, and the service Quality requirements include sending the request immediately.
28. A method for wireless communication, including:

    Determine the data transmission strategy of the sending-side network node based on at least the channel state and the state of the data to be transmitted, the data transmission strategy including the lossy compression scheme of the data packet and the transmission rate of the data packet; and

    Sending the data packet to the receiving-side network node based on the data sending strategy.
29. An electronic device for wireless communication, including:

    Obtain information about the lossy compression ratio of the data packet from the sending-side network node, where the sending-side network node determines a data transmission strategy based on at least the channel state and the state of the data to be transmitted, and the data transmission strategy includes the lossy compression ratio of the data packet. The compression scheme and the sending rate of data packets; and

    Receiving the data packet from the sending-side network node based on the information.
30. A computer-readable storage medium having computer-executable instructions stored thereon, and when the computer-executable instructions are executed, the method for wireless communication according to claim 28 or 29 is executed.

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