Adaptive joint linear precoding method applicable to multi-base station coordination

Abstract

The invention relates to an adaptive joint linear precoding method applicable to multi-base station coordination, belonging to the technical field of wireless communication. In the method, the multiple coordinative base stations form a coordination region; each coordinative base station acquires current channel status information from the coordinative base station to each user in the coordinationregion so as to obtain current channel matrixes; the coordinative base stations and signal leakage interference-to-noise ratios at the time of data transmission for the users are subjected to maximumprocessing to obtain anti-multiuser interference precoding matrixes; the equivalent channel matrixes of the users are subjected to singular value decomposition to obtain anti-multithread interferenceprecoding matrixes and decoding matrixes of the users for all corporative base stations; power allocation factors of the users are obtained in accordance with the channel matrixes; and the precoding matrixes of all coordinative base stations in the coordinative region for the jth user are obtained. The method has the advantages of low complicity and less overhead, is easy to realize, can be used to reduce the error rate in the wireless communication and improve transmission performance of communication systems, and particularly is suitable for a coordinative multiple point (CoMP) system of the multi-base station coordination.

Description

technical field [0001] The invention relates to an adaptive joint linear precoding method suitable for multi-base station cooperation, and belongs to the technical field of wireless communication. Background technique [0002] In the same-frequency LTE-Advance system, the interference between adjacent cells limits the service quality and throughput of cell-edge users. In order to further improve the spectrum utilization rate of the system and improve the service quality and throughput of users at the edge of the cell, it is necessary to use related technologies to effectively reduce the interference between cells. The Coordinated Multiple Point (CoMP) transmission technology in the field of wireless communication is a technology with broad prospects for LTE-Advanced at present. It can effectively avoid or reduce the intercell interference. The most commonly used CoMP model is the networking mode based on BBU+RRU, which is similar to the traditionally known distributed ante...

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Problems solved by technology

[0005] The precoding design based on the maximum signal-to-noise ratio maximizes the signal-to-noise ratio of each user's received signal, but does not consider the impact of interference, and the system performance is poor when the interference is strong

Block diagonalization (hereinafter referred to as BD) can eliminate multi-user interference, thereby decomposing the multi-user downlink into multiple independent parallel single-user channels, but the number of transmitting antennas cannot be less than the number of receiving antennas, and it is only used for downlink transmission

There is an article that improves the BD method through the joint processing of the transmitter and receiver, making the antenna structure more flexible and better than BD performance, but the design of the transmitter precoding and receiver decoder requires multiple iterative calculations. High complexity, not suitable for practical systems

MMSE\ZF jointly considers the channel of all users instead of the channel of each user, and has a limit on the number of antennas, and does not consider the influence of noise

Maximizing the Signal Leakage to Interference and Noise Ratio (hereinafter referred to as SLNR), as a candidate precoding technology for LTE-A, jointly considers the influence of interference suppression and noise, which can eliminate the limitation of antenna dimensions and improve performance better, and for the closed-loop precoding matrix The expression does not require a complicated iterative process, but each user is required to have the same transmission power, and with matched filter decoding, there will be residual multi-user interference

The original scheme did not consider the influence of base station antenna correlation and each user channel estimation error on system performance

Based on this, SLNR performance is limited

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