Design method of robust transceiver in multi-cell MIMO interference channel

Abstract

The invention provides a design method of a robust transceiver in a multi-cell MIMO interference channel. The method comprises the steps of S1, setting an operation mode of the multi-cell MIMO interference channel, S2, defining the signal noise ratio of a single user or receiver, calculating the signal noise ratio of the kth user or receiver, S3, analyzing the influence of the channel statistic error to the signal noise ratio, deriving a mutually independent receiving beam forming vector, S4, when the channel has the statistic error, introducing a slack variable, converting a non-convex signal noise ratio optimization problem into a second-order cone programming problem, using the convex optimization algorithm to solve the robust transmission beam forming vector problem, S5, using the alternating optimization method to obtain the robust beam forming vector. The method has strong robustness to the statistic errors, each receiver only uses partial CSI to obtain the mutually independent beam forming vectors, the feedback cost is reduced, the bit error rate performance is guaranteed.

Description

technical field [0001] The invention relates to a method in the technical field of wireless communication, in particular to a method for designing a robust transceiver in a multi-cell MIMO interference channel. Background technique [0002] In recent years, with the rapid development of wireless communication technology, the requirements of large traffic volume, high speed and high spectral efficiency of wireless communication have become increasingly urgent. In future wireless communication systems, all transmitters use full frequency multiplexing, which makes inter-cell interference in a multiple-input multiple-output (MIMO) system more complicated. As a key technology for suppressing inter-cell interference in a multi-cell MIMO system, the joint transceiver design method of multiple base stations cooperation has become one of the research hotspots. [0003] In multi-cell MIMO interference channels, the goal of joint transceiver design is to optimize a specific system uti...

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Problems solved by technology

[0005] However, in practical systems, channel estimation errors are unavoidable, and it is difficult for both the transmitter and the receiver to obtain ideal channel state information (Channel State Information, CSI). Robust beamforming algorithm design is a key to obtain effective gains in practical scenarios. The key factor

In the MIMO interference channel, the SINR signal to interference plus noise ratio (Signal to Interference plus Noise Ratio) depends on the strategies of both the transmitter and the receiver. Compared with the MIMO channel, its coupling is stronger and the expression is more complicated. Therefore, Existing schemes in the case of MISO cannot be directly extended to MIMO scenarios

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