CN-115884227-B - Method and component for determining spectral efficiency of NAFD uRLLC system

CN115884227BCN 115884227 BCN115884227 BCN 115884227BCN-115884227-B

Abstract

The application discloses a method and a component for determining the frequency spectrum efficiency of NAFD uRLLC systems, which are applied to the technical field of wireless transmission. The method comprises the steps of determining uplink and downlink frequency spectrum efficiency on the basis of guaranteeing maximum decoding error probability of uplink and downlink users according to inter-user interference channels of the uplink and downlink users, channels from the uplink users to R-APs, channels from the downlink users to T-APs, transmission power of the uplink users and system noise, and carrying out joint optimization on an uplink and downlink transceiver by taking the maximum uplink and downlink frequency spectrum efficiency as a target on the basis of power consumption constraint and service quality constraint of the uplink and downlink users, so that target frequency spectrum efficiency can be determined, and system performance is effectively improved.

Inventors

XIA XINJIANG
WANG DONGMING
LI XIAOHAN
SUN WENFEI
Bu Yinglan
YOU XIAOHU

Assignees

网络通信与安全紫金山实验室

Dates

Publication Date: 20260512
Application Date: 20221128

Claims (10)

1. A method for determining spectral efficiency of a NAFD-based cellular-free large-scale MIMO uRLLC system, comprising: Determining uplink and downlink spectrum efficiency on the basis of ensuring maximum decoding error probability of uplink and downlink users according to an inter-user interference channel of the uplink and downlink users, a channel from the uplink users to R-APs, a channel from the downlink users to T-APs, transmission power of the uplink users and system noise; determining a target spectral efficiency by jointly optimizing uplink and downlink transceivers with the goal of maximizing uplink and downlink weighting and spectral efficiency based on power consumption constraints and quality of service constraints of uplink and downlink users; and calling uRLLC a system optimization relational expression, and performing joint optimization on the uplink and downlink transceivers, wherein the uRLLC system optimization relational expression is as follows: ; In the formula, Is that The set of the two sets, For the precoding vector of the kth downlink user, For the combining vector for demodulating the data signal of the jth uplink user, For the power consumption of the jth uplink user, For a set of downlink users, For a set of uplink users, For the spectral efficiency weight of the kth downlink user, For the spectral efficiency weight of the jth uplink user, For the downlink spectral efficiency corresponding to the kth downlink user, For the uplink spectral efficiency corresponding to the jth uplink user, Precoding vectors at the ith T-AP for the kth downlink user, For the power consumption budget of the l T-AP, For the power consumption budget of the jth uplink user, For the power consumption constraint of the kth downlink user, A power consumption constraint for a jth uplink user; QoS constraints for the kth downlink user, For the QoS constraint of the jth uplink user, For a minimum of QoS constraints for k downlink users, Is the minimum of QoS constraints for the jth uplink user.
2. The method of claim 1, wherein determining downlink spectral efficiency comprises: acquiring a user receiving signal at a downlink user in a single time slot; and determining the reachable downlink frequency spectrum efficiency under the long code based on the user received signal, and determining the downlink frequency spectrum efficiency based on the reachable downlink frequency spectrum efficiency on the basis of given code length and ensuring the maximum decoding error probability of the downlink user.
3. The method of claim 1, wherein determining uplink spectral efficiency comprises: Acquiring an AP receiving signal of an R-AP, and determining an uplink baseband signal of the R-AP according to the AP receiving signal; And determining the uplink spectrum efficiency based on the uplink baseband signal on the basis of ensuring the maximum decoding error probability of the uplink user.
4. The method of claim 2, wherein the downlink spectral efficiency is: ; Wherein, the ; ; In the formula, For the downlink spectral efficiency corresponding to the kth downlink user, For the achievable downlink spectral efficiency at the kth downlink user, For the signal to interference plus noise ratio at the kth downlink user, For the downlink channels of the T-APs and kth downlink users, Is that Is a conjugate transpose of (2); for the precoding vector of the kth downlink user, For the transmission power of the jth uplink user, For an inter-user interference channel for the kth downlink user and the jth uplink user, For the variance of the additive white gaussian noise at the kth downlink user receiver, Is the inverse of the gaussian Q function, For the maximum decoding error probability for the kth downlink user, N is given code length, e is natural logarithm, For a set of downlink users, For a set of uplink users, Is the first And the downlink users.
5. A method according to claim 3, wherein the uplink spectral efficiency is: ; Wherein, the ; ; In the formula, For the uplink spectral efficiency corresponding to the jth uplink user, For the achievable uplink spectral efficiency of the jth uplink user, For the signal to interference plus noise ratio at the CPU for the jth uplink user, Maximum decoding error probability for the jth uplink user, For the transmission power of the jth uplink user, For the interference plus noise power at the jth uplink user, For a combining vector at the z-th R-AP for demodulating the j-th uplink user data signal, H represents a conjugate transpose; and the uplink channel from the jth uplink user to the z-th R-AP.
6. The method of claim 1, wherein a concave-convex algorithm optimization relation is invoked to jointly optimize the uplink and downlink transceivers, wherein the concave-convex algorithm optimization relation is: ; Wherein, the , , , , ; , , , , , , ; , , , , , ; ; In the formula, In order to be a collection of the components, 、、、 Are all the auxiliary variables which are used for the control of the power supply, For an inter-user interference channel for the kth downlink user and the jth uplink user, For the variance of the additive white gaussian noise at the kth downlink user receiver, In order for the code length to be the same, For the precoding vector of the kth downlink user, Is that Precoding vector values at n iterations, , For the downlink channels of the T-APs and kth downlink users, A first predetermined function is indicated and a first predetermined function is indicated, Is the first The number of uplink users to be transmitted to the base station, A second predetermined function is indicated and is indicated, For the channel vectors of the ith T-AP to the kth downlink user, For the variance of the additive white gaussian noise at the z-th R-AP, The receiver vector of the jth uplink user is processed for the zth R-AP, As an intermediate parameter, a parameter which is a function of the parameter, Is the residual error gain at the z-th R-AP for the l-th T-AP, Is the identity matrix of dimension LM, For an identity matrix of dimension ZM x ZM, And a third preset function is represented, and e is natural logarithm.
7. The method of claim 1, wherein a hybrid algorithm optimization relationship is invoked for joint optimization of uplink and downlink transceivers, the hybrid algorithm optimization relationship being: ; Wherein, the , , , , , , , , , , , , , , , ; 、、、、、、、、、 Are all the auxiliary variables which are used for the control of the power supply, In order to incorporate the factor variable(s), To use the power transmitted by the first T-AP to the kth downlink user when mixed beamforming is employed, For the set of R-APs, A second predetermined function is indicated and is indicated, A first predetermined function is indicated and a first predetermined function is indicated, For the combining vector for demodulating the data signal of the jth uplink user, The receiver vector of the jth uplink user is processed for the zth R-AP, R-APs and the first The uplink channels of the individual uplink users, 、 Are all the parameters in the middle of the method, First, the The power consumption of the individual uplink users, Is the residual error gain at the z-th R-AP for the l-th T-AP, For an identity matrix of dimension ZM x ZM, Is the variance of the additive white gaussian noise at the z-th R-AP, e is the natural logarithm.
8. A NAFD-based spectral efficiency determination apparatus for a cell-free large-scale MIMO uRLLC system, comprising: The frequency spectrum efficiency determining module is used for determining the frequency spectrum efficiency of the uplink and the downlink on the basis of ensuring the maximum decoding error probability of the uplink and the downlink users according to the inter-user interference channel of the uplink and the downlink users, the channel from the uplink users to the R-APs, the channel from the downlink users to the T-APs, the transmission power of the uplink users and the system noise; The spectrum efficiency optimization module is used for determining target spectrum efficiency by carrying out joint optimization on the uplink and downlink transceivers with the aim of maximizing uplink and downlink weighting and spectrum efficiency based on the power consumption constraint and the service quality constraint of the uplink and downlink users; The spectrum efficiency optimization module is further configured to call uRLLC a system optimization relational expression, and perform joint optimization on the uplink and downlink transceivers, where the uRLLC system optimization relational expression is: ; In the formula, Is that The set of the two sets, For the precoding vector of the kth downlink user, For the combining vector for demodulating the data signal of the jth uplink user, For the power consumption of the jth uplink user, For a set of downlink users, For a set of uplink users, For the spectral efficiency weight of the kth downlink user, For the spectral efficiency weight of the jth uplink user, For the downlink spectral efficiency corresponding to the kth downlink user, For the uplink spectral efficiency corresponding to the jth uplink user, Precoding vectors at the ith T-AP for the kth downlink user, For the power consumption budget of the l T-AP, For the power consumption budget of the jth uplink user, For the power consumption constraint of the kth downlink user, A power consumption constraint for a jth uplink user; QoS constraints for the kth downlink user, For the QoS constraint of the jth uplink user, For a minimum of QoS constraints for k downlink users, Is the minimum of QoS constraints for the jth uplink user.
9. An electronic device comprising a processor and a memory, the processor being configured to implement the steps of the method for determining spectral efficiency of a NAFD-based honeycomb-free large-scale MIMO uRLLC system according to any one of claims 1 to 8 when executing a computer program stored in the memory.
10. A readable storage medium, wherein a computer program is stored on the readable storage medium, which when executed by a processor, implements the steps of the method for determining spectral efficiency of a non-cellular large-scale MIMO uRLLC system according to any one of claims 1 to 8, based on NAFD.

Description

Method and component for determining spectral efficiency of NAFD uRLLC system Technical Field The present application relates to the field of wireless communication transmission technologies, and in particular, to a method and apparatus for determining spectral efficiency of a NAFD-based cellular-free large-scale MIMO uRLLC system, an electronic device, and a readable storage medium. Background Technologies in 5G (5 th Generation, fifth Generation) that can achieve ultra-high reliability and low latency include cloud radio access networks, cache networks, and core networks. Flexible duplexing allows for frequency division multiplexing over paired spectrum and time division multiplexing over unpaired spectrum, making it a potential technique that can enhance system spectral efficiency at low latency. Compared with the traditional half-Duplex communication system, the CCFD (Co-frequency Co-time Full Duplex) which can perform uplink and downlink transmission in the same time slot can realize double spectrum efficiency. In practical situations, however, CLI (Cross-LINK INTERFERENCE ) between uplink and downlink antennas at the base station side and between uplink and downlink users may limit the spectral efficiency gain effect. NAFD (Network-Assisted Full Duplex, network assisted full duplex) is a duplex mode summarized on the basis of CCFD, spatial multiplexing and other flexible duplex, which truly enables flexible control. The base station NAFD may operate in HD (Half duplex Communication, half duplex), CCFD, hybrid duplex, or other duplex modes as desired. A non-cellular massive MIMO (Multiple-Input and Multiple-Output) system combines a MIMO network with a distributed antenna system, where Aps (Access points) are widely covered in an area to coherently serve a large number of users on the same video resource and are connected to a Central Processing Unit (CPU) through a backhaul link. NAFD in combination with non-cellular massive MIMO is expected to overcome inter-cell interference and provide uniform QoS without handover (Quality of Service ) for cell edge users, enabling uRLLC (Ultra-reliable and Low Latency Communications, ultra high reliability low delay communication) transmission scheme in the system. The performance of the existing non-honeycomb large-scale MIMO ultra-high reliability low-delay system based on NAFD at present cannot meet the user requirements, and the related technology aims at improving a uRLLC receiver in the non-honeycomb large-scale MIMO combined with CCFD, including uplink and downlink precoding, reliability and time delay equalization and the like. It is appreciated that CCFD and NAFD are not identical, nor is the method related to receiver uRLLC in non-cellular massive MIMO combined with CCFD fully applicable to uRLLC joint transceiver in non-cellular massive MIMO based on NAFD. In view of this, how to effectively improve the performance of the NAFD-based non-cellular massive MIMO ultra-high reliability low-latency system to meet the high performance requirement of the user on the NAFD-based non-cellular massive MIMO ultra-high reliability low-latency system is a technical problem that needs to be solved by those skilled in the art. Disclosure of Invention The application provides a method, a device, electronic equipment and a readable storage medium for determining the frequency spectrum efficiency of a non-cellular large-scale MIMO uRLLC system based on NAFD, which effectively improve the performance of a non-cellular large-scale MIMO ultra-high reliability low-time delay system based on NAFD so as to meet the high performance requirement of a user on the non-cellular large-scale MIMO ultra-high reliability low-time delay system based on NAFD. In order to solve the technical problems, the embodiment of the invention provides the following technical scheme: in one aspect, the embodiment of the invention provides a method for determining spectral efficiency of a NAFD-based large-scale MIMO uRLLC system without a cell, which comprises the following steps: Determining uplink and downlink spectrum efficiency on the basis of ensuring maximum decoding error probability of uplink and downlink users according to an inter-user interference channel of the uplink and downlink users, a channel from the uplink users to R-APs, a channel from the downlink users to T-APs, transmission power of the uplink users and system noise; The target spectral efficiency is determined by jointly optimizing the uplink and downlink transceivers with the goal of maximizing uplink and downlink weighting and spectral efficiency based on the power consumption constraints and quality of service constraints of the uplink and downlink users. Another aspect of the embodiments of the present invention provides a device for determining spectral efficiency of a NAFD-based cellular-free large-scale MIMO uRLLC system, including: The frequency spectrum efficiency determining module is used for determining the frequency