CN-122028096-A - Performance analysis method and device for RSMA (reactive random Access memory) non-cellular network under non-ideal transmission condition

CN122028096ACN 122028096 ACN122028096 ACN 122028096ACN-122028096-A

Abstract

The application provides a performance analysis method and device for an RSMA non-cellular network under a non-ideal transmission condition. The method comprises the steps of constructing a channel model of an RSMA non-cellular network under non-ideal transmission conditions considering channel aging and phase noise, obtaining quantized pilot frequency receiving signals described based on quantized distortion coefficients based on pilot frequency signals received by an access point in an uplink pilot frequency training stage, carrying out LMMSE channel estimation on the quantized pilot frequency receiving signals by using the channel model to obtain uplink channel state information, splitting, encoding and pre-encoding user information according to an RSMA strategy by using the uplink channel state information to calculate quantized receiving signal expressions of a user end after ADC quantization, calculating downlink reachable rate expressions of the RSMA non-cellular network based on the quantized receiving signal expressions, and evaluating communication performance of the RSMA non-cellular network under the non-ideal transmission conditions based on the downlink reachable rate expressions.

Inventors

LI LECHEN
ZHANG YAO
LIU YUFEI
CHEN PEIPEI
WU JIAJU
YAN JUNRONG
JIANG SHAOWEI

Assignees

杭州电子科技大学

Dates

Publication Date: 20260512
Application Date: 20260414

Claims (10)

1. A method for performance analysis of an RSMA non-cellular network under non-ideal transmission conditions, comprising the steps of: step S1, constructing a channel model of an RSMA non-cellular network of a target area under non-ideal transmission conditions considering channel aging and phase noise; Step S2, based on pilot signals received by an access point in an uplink pilot training stage, obtaining quantized pilot receiving signals described based on quantized distortion coefficients after ADC quantization, and carrying out LMMSE channel estimation on the quantized pilot receiving signals by using the channel model to obtain uplink channel state information; S3, splitting, encoding and pre-encoding the user message according to an RSMA strategy by utilizing the uplink channel state information so as to calculate a quantized received signal expression quantized by the ADC at the user terminal; Step S4, calculating an expression of the downlink reachable rate of the RSMA non-cellular network by adopting a capacity lower limit theory based on the quantized received signal expression; And step S5, evaluating the communication performance of the RSMA non-cellular network under non-ideal transmission conditions based on the expression of the downlink reachable rate.
2. The method according to claim 1, wherein the channel model in step S1 is a rice channel model, and the rice channel model at time n of the channel between each receiving point and the user in the RSMA non-cellular network is: Wherein, the For time index, the RSMA cellular-free network has a coherent block under the operation of a time division duplex protocol It is composed of a number of samples, For receiving points And users At the moment of time Is a rice channel model of (c) a channel model, To accommodate the phase noise of the discrete-time wiener process, And (3) with Respectively are receiving points And users At the moment of time Is used for the oscillation phase of the (a), In order to age the channel model, For the moment of time And time of day The time-dependent coefficient of the lower one, , In order to be an independent component of the innovation, Is the channel initial state.
3. The method according to claim 1, wherein the step S2 comprises: Obtaining quantization gain corresponding to receiving point And quantization noise, wherein , Quantization distortion coefficients related to the number of quantization bits of the ADC; based on the quantization gain And quantizing the quantized pilot frequency receiving signal by using quantization noise to obtain a quantized pilot frequency receiving signal.
4. The method according to claim 1, wherein the step S4 comprises: Based on a capacity lower limit theory, a lower limit expression of a first downlink achievable rate is obtained by decoding a public stream part of the user message; based on the capacity lower limit theory, obtaining a lower limit expression of a second downlink achievable rate by decoding a private stream part of the user message; and obtaining a final expression of the downlink achievable rate based on the lower limit expression of the first downlink achievable rate and the lower limit expression of the second downlink achievable rate.
5. The method according to claim 1, wherein the expression of the downlink achievable rate in step S4 is as follows: Wherein, the For users The corresponding downstream achievable rate is set to be, For a set of users, K is the total number of users, A rate may be achieved for the first downlink, A rate may be achieved for the second downlink.
6. A performance analysis apparatus for an RSMA non-cellular network under non-ideal transmission conditions, the apparatus comprising: The system comprises a channel model building unit, a channel model generation unit and a phase noise generation unit, wherein the channel model building unit is used for building a channel model of an RSMA non-cellular network of a target area under the non-ideal transmission condition of considering channel aging and phase noise; The channel state estimation unit is used for obtaining a quantized pilot frequency receiving signal described based on a quantized distortion coefficient after being quantized by an ADC based on a pilot frequency signal received by an access point in an uplink pilot frequency training stage, and carrying out LMMSE channel estimation on the quantized pilot frequency receiving signal by utilizing the channel model to obtain uplink channel state information; The signal quantization processing unit is used for splitting, encoding and pre-encoding the user message according to an RSMA strategy by utilizing the uplink channel state information so as to calculate a quantized received signal expression quantized by the ADC at the user terminal; The evaluation index calculation unit is used for calculating an expression of the downlink reachable rate of the RSMA non-cellular network by adopting a capacity lower limit theory based on the quantized received signal expression; And the communication performance evaluation unit is used for evaluating the communication performance of the RSMA non-cellular network under the non-ideal transmission condition based on the expression of the downlink reachable rate.
7. The apparatus of claim 6, wherein the channel model is a rice channel model, and wherein the rice channel model at time n for a channel between each receiving point and a user in the RSMA non-cellular network is: Wherein, the For time index, the RSMA cellular-free network has a coherent block under the operation of a time division duplex protocol It is composed of a number of samples, For receiving points And users At the moment of time Is a rice channel model of (c) a channel model, To accommodate the phase noise of the discrete-time wiener process, And (3) with Respectively are receiving points And users At the moment of time Is used for the oscillation phase of the (a), In order to age the channel model, For the moment of time And time of day The time-dependent coefficient of the lower one, , In order to be an independent component of the innovation, Is the channel initial state.
8. The apparatus of claim 6, wherein the device comprises a plurality of sensors, The channel state estimation unit is used for obtaining a lower limit expression of a first downlink achievable rate by decoding a public stream part of a user message based on a capacity lower limit theory, obtaining a lower limit expression of a second downlink achievable rate by decoding a private stream part of the user message based on the capacity lower limit theory, and obtaining a final lower limit expression of the downlink achievable rate based on the lower limit expression of the first downlink achievable rate and the lower limit expression of the second downlink achievable rate.
9. An electronic device, comprising: A processor; A computer readable storage medium having stored therein computer program instructions which, when executed by the processor, cause the processor to perform the method of any of claims 1 to 5.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which is executed by a processor by the method according to any of claims 1 to 5.

Description

Performance analysis method and device for RSMA (reactive random Access memory) non-cellular network under non-ideal transmission condition Technical Field The invention relates to the technical field of wireless communication, in particular to a performance analysis method and device of an RSMA non-cellular network under a non-ideal transmission condition. Background With the popularization of the fifth generation mobile communication (5G) and the evolution to the sixth generation mobile communication (6G), mobile data traffic is explosively increased, and extremely high requirements are placed on the spectrum efficiency, coverage consistency and connection density of the network. The architecture of the non-cellular network is taken as a subversion network paradigm, abandons the traditional cell concept taking a base station as a center, adopts a large number of geographically distributed Access Points (APs) to be connected to a central processing unit (Central Processing Unit, CPU) through a forward link, and provides services for users in a vast area in a cooperative manner. This user-centric transmission mode utilizes macro diversity gain and high multiplexing gain to eliminate cell boundary interference, and can provide users with a uniform and high quality service experience, and thus is considered as a key enabling technology for future wireless communication systems. In a non-cellular network architecture, multi-user interference becomes a bottleneck restricting the system capacity increase due to the fact that a large number of users share time-frequency resources. Although the conventional linear precoding technology has low complexity, when processing strong interference or imperfect Channel State Information (CSI), the performance of the conventional linear precoding technology is drastically reduced, so that interference cannot be effectively suppressed. Rate-splitting multiple access (Rate-SPILTTING MULTIPLE ACCESS, RSMA) exhibits superior performance as a generic and robust interference management strategy by splitting user messages into two parts, public and private, for transmission. The public message is decoded and rejected by all users, converting part of the interference into useful signals, while the private message is treated as the remaining interference. This flexible interference management mechanism allows RSMA to have higher spectral and energy efficiency than spatial division multiple access (Space-Division Multiple Access, SDMA) in scenarios where CSI errors are large or user loads are high. Although the advantages of a non-cellular network architecture are clear, in practical deployment, a huge number of APs need to be deployed in order to cover a wide area. If each AP is equipped with high precision, high power consumption radio frequency components, it will incur unacceptable hardware costs and energy consumption. Therefore, a low cost AP equipped with a low resolution analog to digital converter (Analog To Digital Converter, ADC) becomes an economical and efficient solution. However, low resolution ADCs have extremely strong nonlinear characteristics, which can introduce severe quantization noise, resulting in distortion of the received signal waveform. This not only increases the difficulty of uplink channel estimation, resulting in reduced accuracy of the acquired CSI, but also limits the beamforming gain of the downlink, thereby affecting the effective implementation of the RSMA strategy. In addition to ADC, low cost APs are typically equipped with a poor local oscillator stability and are prone to phase noise. During signal transmission, phase noise appears as random phase rotations and diverges as it accumulates over time. In a multi-user multiple-input multiple-output (Multiple Input Multiple Output, MIMO) system, phase noise destroys the reciprocity and orthogonality of the channels, which can lead to serious performance loss if this factor is ignored in the system design. Also, in an actual mobile communication scenario, the user is often in a non-stationary state. The wireless channel exhibits time-varying characteristics due to doppler shift caused by user movement. In the time division duplex mode, there is an inherent processing delay between the transmission from the uplink pilot frequency to the downlink data transmission, so that the channel estimation value acquired by the AP end is not matched with the actual channel state at the current moment, and the phenomenon is called channel aging. As the moving speed of the user increases or the frame structure becomes longer, the aging effect of the channel becomes more remarkable, so that the precoding matrix is over-time, thereby introducing additional multi-user interference in the downlink and severely restricting the system reliability in the high-speed moving scene. In summary, existing performance analysis studies on RSMA-enhanced cellular-free network architecture are mostly based on the assumption of idea