Method and device for user scheduling in mimo wireless communication system

Abstract

The invention relates to a method and equipment for user scheduling in a MIMO wireless communication system. Among them, each user equipment first selects its own channel vector from the codebook according to the minimum Euclidean distance rule, and estimates the channel quality information between each user equipment and the base station to which it belongs; then, sends the channel vector and channel quality information to the base station . After receiving the channel-related information fed back from N user equipments, the base station selects user equipments one by one according to the channel-related information fed back by each user equipment, so that each selected user equipment and other selected user equipments meet the predetermined system The capacity condition, wherein the channel-related information includes codebook indexes and estimated channel quality information for characterizing channel response vectors of user equipments. The advantage of the present invention is that when scheduling users, the best balance point can be obtained between quantization accuracy and system throughput performance, and the best optimization can be brought to the system.

Description

technical field [0001] The present invention relates to the field of MIMO wireless communication, in particular to a method and equipment for user scheduling in the MIMO wireless communication system. Background technique [0002] In multi-user MIMO systems, co-channel interference (CCI) is the bottleneck of system performance improvement. Under the limitation of limited feedback amount, user scheduling algorithm is particularly important. Moreover, in order to improve system performance, the user equipment receiving information must also meet the system throughput requirements. Therefore, under the condition that the amount of feedback is limited, how to select a suitable user to match the precoding technology, so as to improve the system throughput, is a problem worthy of attention. [0003] Existing solutions to the above problems have the following solutions: [0004] 1. Zero-forcing beamforming technology (ZFBF) based on channel vector quantization (CVQ): each user e...

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Problems solved by technology

[0005] The disadvantage of this scheme is that the base station can accurately design the zero-forcing precoder only after each user equipment is finally scheduled; moreover, the signal-to-interference-noise ratio fed back by each user equipment is an estimated value, which causes the selected user equipment is not necessarily optimal, in which case the performance of the system will degrade

[0007] This SUS-based ZFBF scheme is also difficult to obtain optimal performance

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