Joint detection algorithm applied to massive MIMO uplink

Abstract

The invention discloses a joint detection algorithm applied to a massive MIMO uplink, which constitutes a joint detection algorithm with two external large iterations and two internal small iterations, wherein the external large iterations are respectively information interaction of a decoder and a detector and information interaction of interference estimation and the detector, and the internal small iterations are respectively the internal iteration of the detector LMMSE-ISDIC algorithm and the iteration of the decoder. The algorithm fully utilizes the iterative structure of the decoder to construct two large iterative structures similar to the Turbo turbine, which improves the detection accuracy of the large-scale MIMO uplink. Compared with the traditional uplink detection, the joint detection can sufficiently use the information interaction of each module to promote each other and jointly improve the final detection accuracy.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a joint detection algorithm applied to a massive MIMO uplink. Background technique [0002] With the research and development of the new generation of mobile communication, the mobile communication system puts forward new requirements on information rate, delay, number of connections and reliability, etc. MIMO) has become a key technology of next-generation wireless communication, and thus has attracted extensive attention from academia and industry. [0003] Massive MIMO depends on the uplink and downlink base stations of the system being able to obtain good enough channel state quality (Channel State Information, CSI). Channel state information is the key to connecting MIMO systems to send signals and receive detection. The performance of massive MIMO systems largely depends on whether the base station can accurately obtain the CSI of the uplink and downlink. On...

AI Technical Summary

Problems solved by technology

At the same time, when the number of base station antennas continues to increase, the thermal noise will be averaged out, so it can be ignored, and the system is mainly limited by the interference of other users

How to effectively suppress the interference of other users in receiving detection has become a research hotspot. In traditional uplink detection, the detection module is separated from other modules. Each module only completes its own work, and there is no information between modules. interaction, thus wasting the external information of each module

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