CN113810927A

CN113810927A - Electronic device and method for wireless communication, computer-readable storage medium

Info

Publication number: CN113810927A
Application number: CN202010542693.2A
Authority: CN
Inventors: 陈巍; 吴俊杰; 胡少领; 孙晨; 田中; 王晓雪
Original assignee: Sony Corp
Current assignee: Sony Corp
Priority date: 2020-06-15
Filing date: 2020-06-15
Publication date: 2021-12-17
Also published as: CN115702581A; WO2021254211A1

Abstract

The present disclosure provides an electronic device, a method, and a computer-readable storage medium for wireless communication, the electronic device including: a processing circuit configured to: determining a data sending strategy of the network node at the sending side at least based on the channel state and the state of the data to be transmitted, wherein the data sending strategy comprises a lossy compression scheme of a data packet and a sending rate of the data packet; and sending the data packet to the receiving side network node based on the data sending strategy.

Description

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

Technical Field

The present application relates to the field of wireless communication technologies, and in particular, to a data transmission technology. And more particularly, to an electronic device and method for wireless communication and a computer-readable storage medium.

Background

With the continuous development of wireless communication technology, people are entering the 5G era. Applications in a 5G communication network can be divided into three categories according to different requirements: large Machine Type Communication (mtc), Ultra-Reliable Low-Latency Communication (urlclc), and Enhanced Mobile Broadband (eMBB). From the three main application scenes, 5G will provide various 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, and internet of things (IoT), among others. For example, mtc may be applied in IoT scenarios, in particular, in everyday life, IoT may help people implement various intelligent systems, such as: the intelligent parking application system can intelligently seek positions, automatically pay fees and monitor road illegal parking; an asset management application that manages the location and status of mobile assets; the wireless alarm information of pipe well state, temperature and humidity, smoke and the like is generated by combining a professional well lid sensor, a temperature and humidity sensor and a smoke alarm with an IoT. Typically, these application terminals require low power consumption IoT modules so that they can operate for years on only limited-power batteries without the need to run wires.

For the urrllc, which is one of the main scenarios in the 5G network, extremely high requirements are placed on the delay and reliability of data transmission. Specifically, the end-to-end delay is less than 1ms, and the error rate is less than 10^-5This presents a significant challenge to designers of communication systems.

On the other hand, different types of services have different requirements on quality of service (QoS) of communication, for example, data traffic generated by real-time interactive games has a high requirement on latency performance, because a large delay affects game experience; the data traffic generated by some common web page information has a low requirement on time delay because the user is insensitive to the fluctuation of the time required for opening the web page within a small range. It is therefore desirable to allocate different communication resources for different services for their QoS requirements to improve the efficiency of resource utilization.

Disclosure of Invention

The following presents a simplified summary of the disclosure in order to provide a basic understanding of some aspects of the disclosure. It should be understood that this summary is not an exhaustive overview of the disclosure. It is not intended to identify key or critical elements of the disclosure or to delineate the scope of the disclosure. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is discussed later.

According to an aspect of the present application, there is provided an electronic device for wireless communication, comprising: a processing circuit configured to: determining a data sending strategy of a network node at a sending side at least based on the channel state and the state of data to be transmitted, wherein the data sending strategy comprises a lossy compression scheme of a data packet and a sending rate of the data packet; and sending the data packet to the receiving side network node based on the data sending strategy.

According to another aspect of the present application, there is provided a method for wireless communication, comprising: determining a data sending strategy of the network node at the sending side at least based on the channel state and the state of the data to be transmitted, wherein the data sending strategy comprises a lossy compression scheme of a data packet and a sending rate of the data packet; and sending the data packet to the receiving side network node based on the data sending strategy.

According to an aspect of the present application, there is provided an electronic device for wireless communication, comprising: a processing circuit configured to: the method comprises the steps that information about the lossy compression ratio of a data packet is obtained from a network node at a sending side, wherein the network node at the sending side determines a data sending strategy at least based on a channel state and a state of data to be transmitted, and the data sending strategy comprises a lossy compression scheme of the data packet and the sending rate of the data packet; and receiving a data packet from the sender-side network node based on the information.

According to another aspect of the present application, there is provided a method for wireless communication, comprising: the method comprises the steps that information about the lossy compression ratio of a data packet is obtained from a network node at a sending side, wherein the network node at the sending side determines a data sending strategy at least based on a channel state and a state of data to be transmitted, and the data sending strategy comprises a lossy compression scheme of the data packet and the sending rate of the data packet; and receiving a data packet from the sender-side network node based on the information.

According to other aspects of the present disclosure, there are also provided a computer program code and a computer program product for implementing the above-described method for wireless communication, and a computer readable storage medium having recorded thereon the computer program code for implementing the above-described method for wireless communication.

According to the electronic equipment and the method, the lossy compression and the transmission rate of the transmitted data are dynamically controlled according to the channel state and the state of the data to be transmitted, so that the time delay can be effectively reduced, and the power consumption can be reduced.

These and other advantages of the present disclosure will become more apparent from the following detailed description of the preferred embodiments of the present disclosure when taken in conjunction with the accompanying drawings.

Drawings

To further clarify the above and other advantages and features of the present disclosure, a more particular description of embodiments of the present disclosure will be rendered by reference to the appended drawings. Which are incorporated in and form a part of this specification, along with the detailed description that follows. Elements having the same function and structure are denoted by the same reference numerals. It is appreciated that these drawings depict only typical examples of the disclosure and are therefore not to be considered limiting of its scope. In the drawings:

FIG. 1 is a functional block diagram illustrating an electronic device 100 for wireless communication according to one embodiment of the present application;

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

fig. 3 shows a schematic diagram of an example of a communication system performing lossy compression on the user equipment side;

FIG. 4 shows one illustrative example of determining an optimal data transmission strategy according to an embodiment of the application;

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

FIG. 6 illustrates another graph of simulation results optimizing performance of a data transmission strategy according to one embodiment of the present application;

FIG. 7 shows another graph of simulation results optimizing performance of a data transmission strategy according to one embodiment of the present application;

fig. 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 the flow of relevant information between two user equipments in a side link communication;

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

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

fig. 11 shows a flow diagram of a method for wireless communication according to an embodiment of the present application;

fig. 12 shows a flow diagram of a method for wireless communication according to another embodiment of the present application;

fig. 13 is a block diagram illustrating a first example of a schematic configuration of an eNB or a gNB to which the techniques of this disclosure may be applied;

fig. 14 is a block diagram illustrating a second example of a schematic configuration of an eNB or a gNB to which the techniques of this disclosure may be applied;

fig. 15 is a block diagram showing an example of a schematic configuration of a smartphone to which the technique of the present disclosure may be applied;

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

fig. 17 is a block diagram of an exemplary architecture of a general-purpose personal computer in which methods and/or apparatus and/or systems in accordance with embodiments of the present disclosure may be implemented.

Detailed Description

Exemplary embodiments of the present disclosure will be described hereinafter with reference to the accompanying drawings. In the interest of clarity and conciseness, not all features of an actual implementation are described in the specification. It will of course be appreciated that in the development of any such actual embodiment, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which will vary from one implementation to another. Moreover, it will be appreciated that such a development effort might be complex and time-consuming, but would nevertheless be a routine undertaking for those of ordinary skill in the art having the benefit of this disclosure.

Here, it should be further noted that, in order to avoid obscuring the present disclosure with unnecessary details, only the device structures and/or processing steps closely related to the scheme according to the present disclosure are shown in the drawings, and other details not so relevant to the present disclosure are omitted.

< first embodiment >

As mentioned above, in 5G communication, it is desirable to meet QoS requirements of different aspects of different services, including reducing power consumption, reducing latency, increasing data transmission rate, and the like.

For example, on the User Equipment (UE) side, the battery capacity is typically limited, and in order to have a longer endurance time (especially, for example, in an IoT scenario), it is desirable to reasonably control the power consumption of the UE while meeting latency and reliability requirements of data traffic. Illustratively, when the amount of data to be transmitted of the traffic of the UE is large, the UE needs to increase the data transmission rate in order to relieve traffic pressure. However, power consumption increases exponentially with transmission rate. To overcome this difficulty, the data may be lossy compressed to reduce the amount of data to be transmitted. In addition, when the wireless channel state is poor, no data traffic or less data traffic can be selected to be transmitted, so that power consumption is reduced at the expense of a certain time delay.

In the present embodiment, it is proposed to perform transmission of a packet by a scheme in which lossy compression of the packet and a transmission rate of the packet are jointly considered to reduce power consumption while satisfying QoS requirements of various services.

Fig. 1 shows a functional block diagram of an electronic device 100 for wireless communication according to an embodiment of the application, as shown in fig. 1, the electronic device 100 comprising: a determining unit 101 configured to determine a data transmission policy of the network node on the transmitting side based on at least the channel status and the status of the data to be transmitted, the data transmission policy including a lossy compression scheme of the data packet and a transmission rate of the data packet; and a transmitting unit 102 configured to transmit the data packet to the receiving-side network node based on the data transmission policy.

Wherein the determining unit 101 and the sending unit 102 may be implemented by one or more processing circuits, which may be implemented as, for example, a chip, a processor. Also, it should be understood that the functional units in the electronic device shown in fig. 1 are only logic modules divided according to the specific functions implemented by the functional units, and are not used for limiting the specific implementation manner.

The electronic device 100 may for example be provided at or communicatively connected to the sender-side network node. Here, it is also noted that the electronic device 100 may be implemented at the chip level, or also at the device level. For example, the electronic device 100 may operate as the sender-side network node itself, and may further include external devices such as a memory, a transceiver (not shown in the figure), and the like. The memories may be used to store programs and related data information that needs to be executed by the transmitting-side network node to perform various functions. The transceiver may include one or more communication interfaces to support communication with different devices (e.g., a receiving-side network node, other transmitting-side network nodes, etc.), and the implementation form of the transceiver is not particularly limited herein.

The transmitting-side network node may be a UE in uplink communication between the UE and the base station, or may be a transmitting-side UE in Sidelink (Sidelink) communication. Further, the transmitting-side network node may also be a mobile network access point or the like that performs a data transmission function. It should be understood that the UE is taken as an example in the description herein, but this is not limitative.

In addition, lossy compression as described herein refers to data compression at the MAC layer, as opposed to the higher layers of the protocol as is commonly described. For example, the lossy compression is an additional compression step. After lossy compression, some data distortion occurs.

The Channel status includes, for example, Channel Quality Indicator (CQI) information indicating at what level the communication Quality of the current Channel is. For example, when the transmitting-side network node is a UE and the receiving-side network node is a base station, the channel state is an uplink channel state. If the wireless communication is based on Time Division Duplex (TDD) technology, the determining unit 101 may use a downlink channel state as the uplink channel state based on channel reciprocity, and the downlink channel state may be obtained by the UE based on measurements on downlink reference signals (e.g., SSB, CSI-RS). If the wireless communication is based on Frequency Division Duplex (FDD) technology, the electronic device 100 may further comprise an obtaining unit 103 configured to obtain information of the uplink channel status from the base station, as shown in fig. 2. The uplink channel state may be obtained, for example, by the base station based on measurements on Sounding Reference Signals (SRS).

When the transmitting side network node is a transmitting side UE in D2D communication and the receiving side network node is a receiving side UE in D2D communication, the channel state is a sidelink channel state. The side link channel status may be measured by the transmitting side network node or the receiving side network node.

The status of the data to be transmitted may include, for example, queue status information for the data packets to be transmitted. Illustratively, the queue status information may include one or more of: the number of packets in the queue, the priority of each packet, and the residence time of each packet in the queue. Specifically, data packets to be transmitted for various services are arranged in a queue according to an arrival order and are sent out. According to the embodiment, the data packets in the queue can be lossy-compressed according to the data transmission strategy, and the transmission rate of the data packets is adjusted, for example, several data packets are transmitted in one time slot.

Wherein the number of packets in the queue reflects the amount of data to be transmitted. The priority of the data packet may be determined, for example, based on the type of Service carried by the data packet and/or the Quality of Service (QoS) requirement of the data packet, e.g., when the type of Service is emergency Service, paid Service, etc., or the QoS requirement of the data packet is high (e.g., latency requirement is high), the priority of the data packet is determined to be high. Illustratively, 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 a receiving-side UE as a receiving-side network node via Sidelink Control Information (SCI). The residence time of each packet in the queue represents the necessary degree to which the corresponding packet needs to be sent as quickly as possible.

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

As shown in fig. 3, the obtaining unit 103 obtains channel state information from the base station and obtains queue state information from the queue of the data packet, and the determining unit 101 determines a data transmission policy, i.e., how to perform lossy compression coding and data transmission, based on the obtained channel state information and queue state information, for example, a lossy compression ratio and a transmission rate of the data packet may be determined. The transmitting unit 102 transmits the lossy-compressed data packet to the base station through the transmitter using the determined data transmission policy.

In one example, the determination unit 101 determines the data transmission policy based on power consumption of the transmitting-side network node, a delay of data transmission, and distortion of data. For example, the determining unit 101 is configured to determine the data transmission policy through an optimization algorithm, so that when the data transmission policy is applied in the current channel state and the data state to be transmitted, the power consumption of the network node on the transmitting side is minimized while satisfying the delay requirement of data transmission and the distortion requirement of data.

The wireless channel is influenced by various environmental factors and randomly changes along with time; the data to be transmitted is determined by the arrival condition of various services, and the data amount of each service arriving at the sending network node in each time slot is random, so the state of the data to be transmitted also has randomness. 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 policy so that the determined data transmission policy is suitable for the current state.

For example, the channel state may be described by a probability distribution of the channel state, and the state of the data to be transmitted may be described by a probability distribution of the data amount to be transmitted, for example, the probability distribution of the data amount to be transmitted for each service may be estimated according to a statistical result of the arrived services.

The determination 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 a data transmission policy by solving the MDP problem. In this embodiment, it is important to establish an accurate MDP problem, which relies on a priori knowledge of the stochastic environment, including but not limited to the probability distribution of the channel states and the probability distribution of the amount of data to be transmitted. For example, the determination unit 101 may estimate a probability distribution of channel states based on the channel state information, and estimate a probability distribution of data amount to be transmitted based on data samples to be transmitted.

For example, the determining unit 101 may be configured to generate a table of conditional probabilities of applying respective data transmission strategies 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 an optimal data transmission strategy as the data transmission strategy to be applied based on the table.

Under the probability distribution of the current channel state and the probability distribution of the data amount to be transmitted (hereinafter referred to as environment random distribution), the determining unit 101 records parameters corresponding to the optimal data transmission strategy in each state, such as the lossy compression ratio and the transmission rate of a data packet, of the system in a list form according to the power consumption, the data transmission delay and the data distortion degree of the network node at the transmitting side. Wherein the state of the system represents a combination of different channel states and the amount of data to be transmitted. When the system state is obtained, the determining unit 101 may obtain an optimal data transmission policy by searching the above list.

Further, the determination unit 101 may also determine a data transmission policy based on the priority of the packet, for example, a packet with a high priority tends to be transmitted preferentially when determining the data transmission policy, or a transmission rate of a packet with a high priority is guaranteed, or the like.

For ease of understanding, a simple example of determining an optimal data transmission strategy by solving the MDP problem is given below with reference to fig. 4. As shown in fig. 4, in this example, the packet has two priorities, priority 1 and priority 2. Wherein, priority 1 is higher than priority 2, and the data packet with priority 1 cannot be compressed, i.e. the compression ratio can only be 1. For the packet with the priority of 2, the lossy compression with the compression ratio of 2 may be selected to be performed, or the compression may be selected not to be performed. The {0,1,2} number of packets may be selected for transmission in each time slot.

Where s denotes the number of data packets to be transmitted in a time slot, r_iRepresenting a lossy compression scheme. For example, referring to the decision set in fig. 4, when s is 1, 1 packet with priority 1 may be selected to be transmitted without compression; it is also possible to choose to send a packet with priority 2 and compression ratio 2 or not. When s is 2, 2 data packets with priority 1 can be selected to be sent; or 1 data packet with the

priority level

1 and 1 data packet with the priority level 2 can be selected to be sent without being compressed; or 1 data packet with the priority level of 1 and 1 data packet with the priority level of 2 and the compression ratio of 2 are selected and sent; it is also possible to choose to send 2 excelsA packet with a priority of 2 and a compression ratio of 2. The list of results of the optimization problem in fig. 4 records the conditional probabilities when different decisions are taken under different channel states and queue states, which are the results obtained by solving the MDP problem under the corresponding channel state and queue state, where i represents the queue state, i.e. there are several packets in the queue, and m represents the channel state. QSI in FIG. 4 is queue status indication, CSI is channel status indication, q [ t ]₁]Represents t₁Queue status of time slot, a [ t ]₁]Represents t₁Time slot newly arrived data packet to be transmitted, s [ t ]₁]Represents t₁Data packets transmitted in time slots, i.e. determined t₁A data transmission scheme of the time slot.

The lower part of fig. 4 shows that in the case of i-3 and m-1, s-2 and r are determined to be used by looking up the list_i＝r₃Specific examples of the data transmission policy of (1). It can be seen that at t₁There are 3 data packets to be sent in the time slot queue, including 1 data packet with

priority

1 and 2 data packets with priority 2, at this time, the channel state is 1, the time slot is determined to send two data packets according to the above list, and the following sending scheme is adopted: 1 packet with

priority

1 and 1 packet with priority 2 and compression ratio 2 are transmitted. Next, at t₁And +1 time slot, because the first two data packets in the queue are already sent out, the newly arrived data packet with the priority of 2 and the data packets with the priority of 2 remaining in the queue form the current queue, namely, the queue state is 2, at the moment, the channel state is 2, and the time slot is determined to send 1 data packet according to the list, namely, a data packet which has the priority of 2 and is not compressed is sent.

How to obtain the list of conditional probabilities shown in fig. 4 will be described in detail below.

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

min P

D≤D_th； (1)

wherein, P represents the average power of the system, T represents the average time delay of the system, and D represents the average distortion of the system; t is_thRepresenting the average delay requirement of the user; d_thWhich represents the maximum tolerable average distortion of the system, equation (1) represents the values of s and r that minimize the average power of the system if the average delay and average distortion of the system meet the system requirements, s represents the data transmission rate, e.g., several packets are transmitted in one time slot, and r represents the adopted lossy compression scheme. Wherein the content of the first and second substances,

in the formula (2), xi_m,s,rAnd the corresponding power consumption is expressed when s data packets are sent and a lossy compression scheme r is adopted when the channel state is m. Phi in formula (3)_s,rRepresenting the distortion that results when s packets are sent and a lossy compression scheme r is employed. In equation (4), the expression of the average delay T is obtained according to the little theorem, and is the average queue length divided by the average arrival rate α. In the formula (5), the reaction mixture is,

indicating that there are i packets in the queue and the channel state is m, the system selects the conditional probability of lossy compression (corresponding to the conditional probability in the table of the optimization results in fig. 4) for sending s packets and the lossy compression scheme is r;

and when the channel state is m, the system selects and sends s data packets and the steady-state probability of the lossy compression with the lossy compression scheme of r.

Through the 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 the present embodiment. It can be seen that there is an optimal trade-off relationship among average power consumption, average delay, and average distortion. For example, there is an optimal trade-off between average delay and average distortion given the average power consumption limit of the system, as shown in fig. 6, i.e., better delay performance can be traded for by sacrificing part of the data distortion. There is also an optimal trade-off between average delay and average power consumption given the average distortion limit of the system, as shown in fig. 7, i.e., lower system power consumption can be traded for by sacrificing delay performance. And, given the average delay limit and the 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 the packets.

In addition, since the environmental random distribution may change over time, when the environmental random distribution changes, the optimization result of the MDP problem changes accordingly, and at this time, the construction and the solution of the MDP problem need to be performed again. Therefore, the determination unit 101 is further configured to dynamically update the table of the above-described conditional probabilities according to the probability distribution of the channel states and the change of the probability distribution of the amount of data to be transmitted. For example, the determination unit 101 may update the above-described table of conditional probabilities every predetermined period of time. Alternatively, the determination unit 101 may monitor the probability distributions of the channel states and the probability distribution of the amount of data to be transmitted, so as to update the table of conditional probabilities described above when a change of a predetermined degree occurs in one of these probability distributions.

On the other hand, the optimization algorithm that can be applied when determining the data transmission policy is not limited to the solution method of the MDP problem described above, and other optimization algorithms such as a value iteration algorithm may also be appropriately employed.

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

P+βD+γT (6)

wherein, β and γ are weighting coefficients of the average distortion and the average time delay of the system, respectively. The problem of minimizing the above linear combination is an unconstrained MDP problem, and an optimal solution of the unconstrained MDP problem can be obtained using a value iterative algorithm. For example, by traversing all β and γ, the minimum average power satisfying the average delay and average distortion constraints is found, and the corresponding deterministic data transmission strategy is then found.

Fig. 8a shows a schematic diagram of the related information flow between the UE and the base station. First, if a TDD communication mode is employed between the UE and the base station, the base station transmits a training sequence, such as a reference signal, to the UE, so that the UE measures a downlink channel state based on the reference signal and obtains an uplink channel state based on channel reciprocity. On the other hand, if the FDD communication mode is adopted between the UE and the base station, the uplink channel state may be estimated by the base station based on the SRS and transmitted to the UE through DCI, as shown by the dotted line in fig. 8 a.

Then, the UE determines a data transmission policy according to the channel status and the status of data to be transmitted, for example, using the above-described optimization algorithm, and provides information on the lossy compression ratio of the data packet to the base station so that the base station can correctly decode the data. The UE may also provide information to the base station regarding the priority of the data packets. For example, the UE may transmit information about a lossy compression ratio or priority to the base station through a Physical Uplink Shared Channel (PUSCH). Then, the UE transmits the data packets in the queue to the base station using the determined data transmission policy.

On the other hand, if the communication link between the transmitting side network node and the receiving side network node is a side link, for example, the side link communication is performed between UE1 (as the transmitting 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 fig. 8 b. Similarly, in case of employing TDD communication mode, UE1 may estimate the channel state from UE 2 to UE1 based on the measurement of the training sequence from UE 2 and obtain the channel state from UE1 to UE 2 based on channel reciprocity; in case of FDD communication mode, the UE 2 estimates the channel status from the UE1 to the UE 2 and provides the estimation result to the UE1 through the SCI (as indicated by the dotted line in fig. 8 b). Then, UE1 determines a data transmission policy from the channel status and the status of data to be transmitted, for example, using the above-described optimization algorithm, and UE1 provides information on the lossy compression ratio of the data packet to UE 2 so that UE 2 can decode the data correctly. UE1 may also provide information to UE 2 regarding the priority of the data packets. For example, UE1 may provide information about the lossy compression ratio or priority of the data packets to UE 2 via a Physical Sidelink Shared Channel (PSSCH). The UE1 then transmits the data packet in the queue to UE 2 using the determined data transmission policy.

In addition, the base station may also provide the UE with the quality of service requirements, such as immediate transmission requirements, of the data packet through the DCI. Similarly, for the sidelink case, the receiving side UE may provide the quality of service requirements of the data packets to the transmitting side UE through Sidelink Control Information (SCI).

In summary, the electronic device 100 according to the embodiment can effectively reduce the time delay and reduce the power consumption by dynamically controlling the lossy compression and the transmission rate of the transmission data according to the channel state and the state of the data to be transmitted. In addition, the data transmission strategy is determined based on different QoS requirements of different services, so that the QoS requirements of different services can be better met.

< second embodiment >

Fig. 9 shows a functional block diagram of an electronic device 200 according to another embodiment of the present application, and as shown in fig. 9, the electronic device 200 includes: an obtaining unit 201 configured to obtain information about a lossy compression ratio of a data packet from a sending-side network node, where the sending-side network node determines a data sending policy based on at least a channel state and a state of data to be transmitted, and the data sending policy includes a lossy compression scheme of the data packet and a sending rate of the data packet; and a receiving unit 202 configured to receive a data packet from the sender-side network node based on the information.

The obtaining unit 201 and the receiving unit 202 may be implemented by one or more processing circuits, which may be implemented as a chip or a processor, for example. Also, it should be understood that the functional units in the electronic device shown in fig. 9 are only logical modules divided according to the specific functions implemented by the functional units, and are not used to limit the specific implementation manner.

The electronic device 200 may for example be provided at or communicatively connected to the receiver-side network node. The receiving-side network node in the present application may be a base station, a Transmit Receive Point (TRP), an Access Point (AP), or a receiving-side UE. Here, it is also noted 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 operate as the receiving-side network node itself, and may further include external devices such as a memory, a transceiver (not shown), and the like. The memories may be used to store programs and related data information that needs to be executed by the receiving-side network node to perform various functions. The transceiver may include one or more communication interfaces to support communication with different devices (e.g., UEs, other receiver-side network nodes, etc.), and implementations of the transceiver are not particularly limited herein.

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

In order to enable the receiving-side network node to decode the received data correctly, the acquisition unit 201 acquires information of the lossy compression ratio of the packet from the transmitting-side network node. Furthermore, the acquisition unit 201 may also acquire information of the priority of the packet from the transmitting-side network node. In the case where the transmitting-side network node is a UE and the receiving-side network node is a base station, acquisition section 201 may acquire these pieces of information via a PUSCH.

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

On the other hand, in the case where the communication link between the transmission-side network node and the reception-side network node is a side link, the acquisition unit 201 may acquire information of the lossy compression ratio or priority of the packet from the transmission-side network node via the psch.

Furthermore, the sending unit 203 may be further configured to send the QoS requirement of the data packet to the sending-side network node through the DCI or the SCI, such as including an immediate sending request. In this way, when determining the data transmission policy, the network node on the transmitting side may further be based on the QoS requirement of the data packet. The relevant details have already been given in the first embodiment and are not repeated here.

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

< third embodiment >

In the above description of the electronic device for wireless communication in the embodiments, it is apparent that some processes or methods are also disclosed. In the following, a summary of the methods is given without repeating some details that have been discussed above, but it should be noted that although the methods are disclosed in the description of electronic devices for wireless communication, the methods do not necessarily employ or be performed by those components described. For example, embodiments of an electronic device for wireless communication may be partially or completely implemented using hardware and/or firmware, while the methods for wireless communication discussed below may be completely implemented by computer-executable programs, although the methods may also employ hardware and/or firmware of an electronic device for wireless communication.

Fig. 11 shows a flow diagram of a method for wireless communication, according to an embodiment of the application, the method comprising: determining a data transmission policy of the network node on the transmitting side based on at least the channel status and the status of the data to be transmitted, the data transmission policy including a lossy compression scheme of the data packet and a transmission rate of the data packet (S11); and transmitting the data packet to the receiving-side network node based on the data transmission policy (S12). The method may be performed, for example, at a transmitting-side network node.

For example, the channel state may include channel quality indication information. In one example, the channel state is an uplink channel state, and in the case that the wireless communication is based on the TDD technology, the downlink channel state may be used as the uplink channel state based on channel reciprocity; in case that the wireless communication is based on the FDD technology, information of the uplink channel state may be acquired from the base station. For example, the uplink channel state is obtained by the base station based on the measurement of the SRS.

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

In step S11, a data transmission policy may be determined based on power consumption of the transmitting-side network node, a delay of data transmission, and distortion of data. For example, the data transmission policy may be determined by an optimization algorithm such that when the data transmission policy is applied in 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 satisfying the delay requirement of the data transmission and the distortion requirement of the data. As one example, an MDP problem may be established based on a probability distribution of channel states and a probability distribution of an amount of data to be transmitted, and a data transmission policy may be determined by solving the MDP problem. For example, the probability distribution of the channel states 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, a table of conditional probabilities of applying respective data transmission strategies under the conditions of the probability distribution of the current channel state and the probability distribution of the amount of data to be transmitted is generated, and an optimal data transmission strategy is determined as the data transmission strategy to be applied based on the table.

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

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

In addition, the data transmission policy may also be determined based on the priority of the data packet, which may be determined based on the traffic type of the traffic carried by the data packet and/or the QoS requirement of the data packet, for example. The QoS requirements of the data packet, which may be obtained from the receiving side network node via DCI or SCI, for example, include an immediate transmission requirement.

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

Fig. 12 shows a flow diagram of a method for wireless communication, according to another embodiment of the application, the method comprising: 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 at least based on a channel state and a state of data to be transmitted, and the data sending strategy comprises a lossy compression scheme of the data packet and a sending rate of the data packet; and receiving a packet from the sender-side network node based on the information (S22). The method may be performed, for example, on the receiving-side network node side.

For example, information about the priority of the packet may also be acquired from the transmission-side network node in S21. Such information may be acquired via PUSCH or pscch, for example.

In one example, the channel status is an uplink channel status, and in the case that the wireless communication is based on the FDD technology, the method further includes transmitting information of the uplink channel status to the UE as the transmitting-side network node. For example, information of the uplink channel state may be obtained by measuring the SRS. The channel state includes, for example, channel quality indication information.

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

Note that the above-described respective methods may be used in combination or individually, and the details thereof have been described in detail in the first to second embodiments and will not be repeated here.

The techniques of this disclosure can be applied to a variety of products.

For example,

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/cryptographic dog-type mobile router, and a digital camera, or a vehicle-mounted terminal such as a car navigation apparatus. 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. Further, the user equipment may be a wireless communication module (such as an integrated circuit module including a single chip) mounted on each of the above-described terminals.

The electronic device 200 may also be implemented as various base stations. The base station may be implemented as any type of evolved node b (enb) or gNB (5G base station). The enbs include, for example, macro enbs and small enbs. The 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. Similar scenarios are also possible for the gNB. Alternatively, the base station may be implemented as any other type of base station, such as a NodeB and a Base Transceiver Station (BTS). The base station may include: a main body (also referred to as a base station apparatus) configured to control wireless communication; and one or more Remote Radio Heads (RRHs) disposed at a different place from the main body. In addition, various types of user equipment can operate as a base station by temporarily or semi-persistently performing the function of the base station.

[ application example with respect to base station ]

(first application example)

Fig. 13 is a block diagram illustrating a first example of a schematic configuration of an eNB or a gNB to which the techniques of this disclosure may be applied. Note that the following description takes an eNB as an example, but may be applied to a gNB as well. eNB 800 includes one or more antennas 810 and base station equipment 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 apparatus 820 to transmit and receive wireless signals. As shown in fig. 13, eNB 800 may include multiple antennas 810. For example, the multiple antennas 810 may be compatible with multiple frequency bands used by the 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 higher layers of the base station apparatus 820. For example, the controller 821 generates a data packet from data in a signal processed by the wireless communication interface 825 and transfers the generated packet via the network interface 823. The controller 821 may bundle data from a plurality of baseband processors to generate a bundle packet, and deliver the generated bundle packet. The controller 821 may have a logic function of performing control as follows: such as radio resource control, radio bearer control, mobility management, admission control and scheduling. The control may be performed in connection with a nearby eNB or core network node. The memory 822 includes a RAM and a 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 apparatus 820 to a core network 824. The controller 821 may communicate with a core network node or another eNB via a network interface 823. In this case, the eNB 800 and a 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. If the network interface 823 is a wireless communication interface, the network interface 823 may 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 wireless connectivity to terminals 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 RF circuitry 827. The BB processor 826 may perform, for example, encoding/decoding, modulation/demodulation, and multiplexing/demultiplexing, and perform various types of signal processing of layers such as L1, Medium Access Control (MAC), Radio Link Control (RLC), and Packet Data Convergence Protocol (PDCP). The BB processor 826 may have a part or all of the above-described logic functions in place of the controller 821. The BB processor 826 may be a memory storing a communication control program, or a module including a processor configured to execute a program and related circuitry. The update program may cause the function of the BB processor 826 to change. The module may be a card or blade that is inserted into a slot of the base station device 820. Alternatively, the module may 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 a wireless signal via the antenna 810.

As shown in fig. 13, wireless communication interface 825 may include a plurality of BB processors 826. For example, the plurality of BB processors 826 may be compatible with the plurality of frequency bands used by the eNB 800. As shown in fig. 13, wireless communication interface 825 may include a plurality of RF circuits 827. For example, the plurality of RF circuits 827 may be compatible with a plurality of 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 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 transmitting unit 203, and the transceiver of the electronic device 200 may be implemented by the wireless communication interface 825. At least a portion of the functionality may also be implemented by the controller 821. For example, the controller 821 may receive a data packet according to a data transmission policy of the transmission-side network node by performing the functions of the acquisition unit 201, the reception unit 202, and the transmission unit 203.

(second application example)

Fig. 14 is a block diagram illustrating a second example of a schematic configuration of an eNB or a gNB to which the techniques of this disclosure may be applied. Note that similarly, the following description takes the eNB as an example, but may be equally applied to the gbb. eNB830 includes one or more antennas 840, base station equipment 850, and RRHs 860. The RRH860 and each antenna 840 may be connected to each other via an RF cable. The base station apparatus 850 and RRH860 may be connected to each other via a high-speed line such as a fiber optic 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 RRH860 to transmit and receive wireless signals. As shown in fig. 14, eNB830 may include multiple antennas 840. For example, the multiple antennas 840 may be compatible with multiple frequency bands used by the eNB 830. Although fig. 14 shows an example in which the eNB830 includes multiple antennas 840, the eNB830 may also include a single antenna 840.

Base station apparatus 850 comprises a controller 851, memory 852, network interface 853, wireless communication interface 855, and 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 via the RRH860 and the antenna 840 to terminals located in a sector corresponding to the RRH 860. The wireless communication interface 855 may generally include, for example, the BB processor 856. The BB processor 856 is identical to 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 RRH860 via a connection interface 857. As shown in fig. 14, wireless communication interface 855 may include a plurality of BB processors 856. For example, the plurality of BB processors 856 may be compatible with the plurality of frequency bands used by the eNB 830. Although fig. 14 shows an example in which wireless communication interface 855 includes multiple BB processors 856, wireless communication interface 855 may include a single BB processor 856.

Connection interface 857 is an interface for connecting base station apparatus 850 (wireless communication interface 855) to RRH 860. Connection interface 857 may also be a communication module for communication in the above-described high-speed line that connects base station apparatus 850 (wireless communication interface 855) to RRH 860.

RRH860 includes connection interface 861 and wireless communication interface 863.

The connection interface 861 is an interface for connecting the RRH860 (wireless communication interface 863) to the base station apparatus 850. The connection interface 861 may also be a communication module for communication in the above-described high-speed line.

Wireless communication interface 863 transmits and receives wireless signals via antenna 840. The wireless communication interface 863 can generally include, for example, RF circuitry 864. The RF circuit 864 may include, for example, mixers, filters, and amplifiers, and transmits and receives wireless signals via the antenna 840. As shown in fig. 14, the wireless communication interface 863 can include a plurality of RF circuits 864. For example, the plurality of RF circuits 864 may support a plurality of antenna elements. Although fig. 14 illustrates an example in which the wireless communication interface 863 includes multiple RF circuits 864, the wireless communication interface 863 may include a single RF circuit 864.

In the eNB830 shown in fig. 14, the acquiring unit 201, the receiving unit 202, the transmitting unit 203, and the transceiver of the electronic device 200 may be implemented by the wireless communication interface 825. At least a portion of the functionality may also be implemented by the controller 821. For example, the controller 821 may receive a data packet according to a data transmission policy of the transmission-side network node by performing the functions of the acquisition unit 201, the reception unit 202, and the transmission unit 203.

[ application example with respect to user Equipment ]

(first application example)

Fig. 15 is a block diagram illustrating an example of a schematic configuration of a smartphone 900 to which the technology of the present disclosure may be applied. The smartphone 900 includes a processor 901, memory 902, storage 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 antenna switches 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 functions of an application layer and another layer of the smartphone 900. The memory 902 includes a RAM and a ROM, and stores data and programs executed by the processor 901. The storage 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 smartphone 900.

The image pickup 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 set of sensors such as a measurement sensor, a gyro sensor, a geomagnetic sensor, and an acceleration sensor. The microphone 908 converts sound input to the smartphone 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 a 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 smart phone 900. The speaker 911 converts an audio signal output from the smart phone 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 RF circuitry 914. The BB processor 913 can 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 transmits and receives a wireless signal via the antenna 916. Note that although the figure shows a case where one RF chain is connected to one antenna, this is merely illustrative and includes a case where one RF chain is connected to a plurality of antennas through a plurality of phase shifters. The wireless communication interface 912 may be one 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.

Further, 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 addition to the cellular communication 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 a connection destination of the antenna 916 among a plurality of circuits (for example, circuits for different wireless communication schemes) included in the wireless communication interface 912.

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 smartphone 900 includes multiple antennas 916, the smartphone 900 may also include a single antenna 916.

Further, the smartphone 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 smart phone 900.

The bus 917 connects the processor 901, the memory 902, the storage device 903, the external connection interface 904, the image pickup device 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. The battery 918 provides power to the various blocks of the smartphone 900 shown in fig. 15 via a feed line, which is partially shown in the figure as a dashed line. The auxiliary controller 919 operates the minimum necessary functions of the smartphone 900, for example, in a sleep mode.

In the smartphone 900 shown in fig. 15, the transmission unit 102, the acquisition unit 103, the transceiver of the electronic apparatus 100, and the acquisition unit 201, the reception unit 202, the transmission unit 203, the transceiver of the electronic apparatus 200 may be implemented by the wireless communication interface 912. At least a portion of the functionality may also be implemented by the processor 901 or the secondary controller 919. For example, the processor 901 or the auxiliary controller 919 may determine a data transmission policy based on the channel state and the state of the data to be transmitted and transmit a data packet using the determined data transmission policy by performing the functions of the determining unit 101, the transmitting unit 102, and the obtaining unit 103, and receive a data packet according to the data transmission policy of the transmitting-side network node by performing the functions of the obtaining unit 201, the receiving unit 202, and the transmitting unit 203.

(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 technique of the present disclosure can be applied. The car navigation device 920 includes a processor 921, memory 922, a Global Positioning System (GPS) module 924, sensors 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, a wireless 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 an SoC, and controls a navigation function and another function of the car navigation device 920. The memory 922 includes a RAM and a ROM, and stores data and programs executed by the processor 921.

The GPS module 924 measures the position (such as latitude, longitude, and altitude) of the car navigation device 920 using GPS signals received from GPS satellites. The sensors 925 may include a set 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 generated by a vehicle (such as vehicle speed data).

The content player 927 reproduces content stored in a storage medium (such as a CD and a DVD) 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 a 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. Wireless communication interface 933 may generally include, for example, BB processor 934 and RF circuitry 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 a wireless signal via the antenna 937. The wireless communication interface 933 may also be one chip module with the BB processor 934 and the RF circuitry 935 integrated thereon. As shown in fig. 16, a 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 multiple BB processors 934 and multiple RF circuits 935, the wireless communication interface 933 may also include a single BB processor 934 or a single RF circuit 935.

Further, 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 addition to the cellular communication scheme. In this case, the wireless communication interface 933 may include a BB processor 934 and RF circuitry 935 for each wireless communication scheme.

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

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 include a single antenna 937.

Further, 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 the various blocks of the car navigation device 920 shown in fig. 16 via a feed line, which 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 transmitting unit 102, the acquiring unit 103, the transceiver of the electronic device 100, and the acquiring unit 201, the receiving unit 202, the transmitting unit 203, the transceiver of the electronic device 200 may be implemented by the wireless communication interface 912. At least a portion of the functionality may also be implemented by the processor 901 or the secondary controller 919. For example, the processor 901 or the auxiliary controller 919 may determine a data transmission policy based on the channel state and the state of the data to be transmitted and transmit a data packet using the determined data transmission policy by performing the functions of the determining unit 101, the transmitting unit 102, and the obtaining unit 103, and receive a data packet according to the data transmission policy of the transmitting-side network node by performing the functions of the obtaining unit 201, the receiving unit 202, and the transmitting unit 203.

The techniques of this disclosure may also be implemented as an in-vehicle system (or vehicle) 940 including one or more blocks of a car navigation device 920, an in-vehicle network 941, and a 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 on-vehicle network 941.

The basic principles of the present disclosure have been described above in connection with specific embodiments, but it should be noted that it will be understood by those skilled in the art that all or any of the steps or components of the method and apparatus of the present disclosure may be implemented in any computing device (including processors, storage media, etc.) or network of computing devices, in hardware, firmware, software, or a combination thereof, which can be implemented by those skilled in the art using basic circuit design knowledge or basic programming skills of the present disclosure after reading the description of the present disclosure.

Moreover, the present disclosure also provides a program product storing machine-readable instruction codes. The instruction codes are read and executed by a machine, and can execute the method according to the embodiment of the disclosure.

Accordingly, a storage medium carrying the above-described program product having machine-readable instruction code stored thereon is also included in the disclosure of the present disclosure. Including, but not limited to, floppy disks, optical disks, magneto-optical disks, memory cards, memory sticks, and the like.

In the case where the present disclosure is implemented by software or firmware, a program constituting the software is installed from a storage medium or a network to a computer (for example, a general-purpose computer 1700 shown in fig. 17) having a dedicated hardware configuration, and the computer can execute various functions and the like when various programs are installed.

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. The RAM 1703 also stores data necessary when the CPU 1701 executes various processes and the like as necessary. The CPU 1701, ROM 1702, and RAM 1703 are connected to each other via a bus 1704. An input/output interface 1705 is also connected to the bus 1704.

The following components are connected to the input/output interface 1705: an input section 1706 (including a keyboard, a mouse, and the like), an output section 1707 (including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker and the like), a storage section 1708 (including a hard disk and the like), a communication section 1709 (including a network interface card such as a LAN card, a modem, and the like). The communication section 1709 performs communication processing via a network such as the internet. A driver 1710 may also be connected to the input/output interface 1705, as desired. A removable medium 1711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 1710 as necessary, so that a computer program read out therefrom is mounted in the storage portion 1708 as necessary.

In the case where the above-described series of processes is realized by software, a program constituting the software is installed from a network such as the internet or a storage medium such as the removable medium 1711.

It will be understood by those skilled in the art that such a storage medium is not limited to the removable medium 1711 shown in fig. 17 in which the program is stored, distributed separately from the apparatus to provide the program to the user. Examples of the removable medium 1711 include a magnetic disk (including a floppy disk (registered trademark)), an optical disk (including a compact disc read only memory (CD-ROM) and a Digital Versatile Disc (DVD)), a magneto-optical disk (including a Mini Disk (MD) (registered trademark)), and a semiconductor memory. Alternatively, the storage medium may be the ROM 1702, a hard disk included in the storage portion 1708, or the like, in which programs are stored and which are distributed to users together with the device including them.

It is also noted that in the apparatus, methods, and systems of the present disclosure, various components or steps may be decomposed and/or re-combined. These decompositions and/or recombinations should be considered equivalents of the present disclosure. Also, the steps of executing the series of processes described above may naturally be executed chronologically in the order described, but need not necessarily be executed chronologically. Some steps may be performed in parallel or independently of each other.

Finally, it should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Furthermore, without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

Although the embodiments of the present disclosure have been described in detail with reference to the accompanying drawings, it should be understood that the above-described embodiments are merely illustrative of the present disclosure and do not constitute a limitation of the present disclosure. It will be apparent to those skilled in the art that various modifications and variations can be made in the above-described embodiments without departing from the spirit and scope of the disclosure. Accordingly, the scope of the disclosure is to be defined only by the claims appended hereto, and by their equivalents.

The present technology can also be configured as follows.

(1) An electronic device for wireless communication, comprising:

a processing circuit configured to:

determining a data sending strategy of a network node at a sending side at least based on the channel state and the state of data to be transmitted, wherein the data sending strategy comprises a lossy compression scheme of a data packet and a sending rate of the data packet; and

and transmitting the data packet to a receiving side network node based on the data transmission strategy.

(2) The electronic device of (1), wherein the processing circuit is further configured to send information about a lossy compression ratio of the data packet to the receiving-side network node.

(3) The electronic device of (2), wherein the processing circuitry is configured to transmit the information via a physical uplink shared channel or a physical side link shared channel.

(4) The electronic device of (2), wherein the processing circuitry is further configured to determine the data transmission policy based on a priority of a data packet, the priority of the data packet being determined based on a traffic type of traffic carried by the data packet and/or a quality of service requirement of the data packet.

(5) The electronic device of (4), the processing circuit further configured to send information regarding the priority of the data packet to the receiving side network node.

(6) The electronic device of (4), wherein the quality of service requirement of the data packet comprises an immediate transmission requirement.

(7) The electronic device of (6), wherein the processing circuitry is configured to obtain the quality of service requirement of the data packet from the receiver-side network node via downlink control information or sidelink control information.

(8) The electronic device of (1), wherein the processing circuit is further configured to determine the data transmission policy based on power consumption of the transmit-side network node, a latency of data transmission, and distortion of data.

(9) The electronic device of (8), wherein the processing circuit is configured to determine the data transmission policy by an optimization algorithm such that power consumption of the transmitter-side network node is minimized while satisfying latency requirements for data transmission and distortion requirements for data when the data transmission policy is applied in a current channel state and a data state to be transmitted.

(10) The electronic device of (9), wherein the processing circuit is configured to establish a markov decision process problem based on the probability distribution of the channel states and the probability distribution of the amount of data to be transmitted, and to determine the data transmission policy by solving the markov decision process problem.

(11) The electronic device according to (10), wherein the processing circuit is configured to generate a table of conditional probabilities of applying respective data transmission strategies 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 an optimal data transmission strategy as the data transmission strategy to be applied based on the table.

(12) The electronic device of (11), wherein the processing circuitry is further configured to dynamically update the table according to a change in a probability distribution of channel states and a probability distribution of an amount of data to be transmitted.

(13) The electronic device of (12), wherein the processing circuit is configured to update the table every predetermined period of time.

(14) The electronic device of (10), wherein the processing circuitry is configured to estimate a probability distribution of the channel states based on channel state information and to estimate a probability distribution of the amount of data to be transmitted based on data samples to be transmitted.

(15) The electronic device of (9), wherein the optimization algorithm is a value iterative algorithm.

(16) The electronic device of (1), wherein the channel state is an uplink channel state, and in a case where the wireless communication is based on a time division duplex technique, the processing circuit is configured to use a downlink channel state as the uplink channel state based on channel reciprocity.

(17) The electronic device of (1), wherein the channel state is an uplink channel state, and in a case where the wireless communication is based on a frequency division duplex technique, the processing circuit is configured to acquire information of the uplink channel state from a base station.

(18) The electronic device of (17), wherein the uplink channel state is obtained by the base station based on measurements on sounding reference signals.

(19) The electronic device of (1), wherein the channel state comprises channel quality indication information.

(20) The electronic device of (1), wherein the data status to be transmitted includes queue status information of a data packet to be transmitted, the queue status information including one or more of: the number of packets in the queue, the priority of each packet, and the residence time of each packet in the queue.

(21) An electronic device for wireless communication, comprising:

a processing circuit configured to:

the method comprises the steps that information about the lossy compression ratio of a data packet is obtained from a network node at a sending side, wherein the network node at the sending side determines a data sending strategy at least based on a channel state and a state of data to be transmitted, and the data sending strategy comprises a lossy compression scheme of the data packet and the sending rate of the data packet; and

receiving the data packet from the transmitting side network node based on the information.

(22) The electronic device of (21), wherein the processing circuit is further configured to obtain information about the priority of the data packet from the transmitting-side network node.

(23) The electronic device of (21), wherein the processing circuitry is configured to obtain the information via a physical uplink shared channel or a physical side link shared channel.

(24) The electronic device of (21), wherein the channel state is an uplink channel state, and in case the wireless communication is based on a frequency division duplex technique, the processing circuitry is further configured to transmit information of the uplink channel state to a user equipment as the transmitting side network node.

(25) The electronic device of (24), wherein the processing circuitry is configured to obtain the information of the uplink channel state by measuring sounding reference signals.

(26) The electronic device of (21), wherein the channel state comprises channel quality indication information.

(27) The electronic device of (21), wherein the processing circuitry is further configured to transmit quality of service requirements of the data packet to the sender-side network node via downlink control information or sidelink control information, the quality of service requirements including an immediate send request.

(28) A method for wireless communication, comprising:

(29) An electronic device for wireless communication, comprising:

(30) A computer-readable storage medium having stored thereon computer-executable instructions that, when executed, perform a method for wireless communication according to (28) or (29).

Claims

1. An electronic device for wireless communication, comprising:

a processing circuit configured to:

2. The electronic device of claim 1, wherein the processing circuit is further configured to send information about a lossy compression ratio of the data packet to the receiving-side network node.

3. The electronic device of claim 2, wherein the processing circuitry is further configured to determine the data transmission policy based on a priority of a data packet, the priority of the data packet being determined based on a traffic type of traffic carried by the data packet and/or a quality of service requirement of the data packet.

4. The electronic device of claim 1, wherein the processing circuit is further configured to determine the data transmission policy based on power consumption of the transmit-side network node, latency of data transmission, and distortion of data.

5. The electronic device of claim 4, wherein the processing circuit is configured to determine the data transmission policy by an optimization algorithm such that power consumption of the transmitter-side network node is minimized while satisfying latency requirements for data transmission and distortion requirements for data when applying the data transmission policy in a current channel state and a data state to be transmitted.

6. The electronic device of claim 1, wherein the pending data transmission status comprises queue status information for pending data packets, the queue status information comprising one or more of: the number of packets in the queue, the priority of each packet, and the residence time of each packet in the queue.

7. An electronic device for wireless communication, comprising:

a processing circuit configured to:

8. A method for wireless communication, comprising:

9. An electronic device for wireless communication, comprising:

10. A computer-readable storage medium having stored thereon computer-executable instructions that, when executed, perform the method for wireless communication of claim 8 or 9.