Beamforming for Full-Duplex Multiuser MIMO Systems

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We solve a sum rate maximization problem of full-duplex (FD) multiuser multiple-input-multiple-output (MU-MIMO) systems. Since additional self-interference (SI) in the uplink channel and cochannel interference (CCI) in the downlink channel are coupled in FD communication, the downlink and uplink multiuser beamforming vectors are required to be jointly designed. However, the joint optimization problem is nonconvex and difficult to solve due to the coupled effect. To properly address the coupled design issue, we reformulate the problem into an equivalent uplink channel problem by using the uplink and downlink channel duality known as multiple-access channel-broadcast channel duality (MAC-BC duality). Then, using a minorization-maximization (MM) algorithm based on an affine approximation, we obtain a solution for the reformulated problem. In addition, without any approximation and thus performance degradation, we develop an alternative algorithm based on iterative water filling (IWF) to solve the nonconvex problem. The proposed algorithms warrant fast convergence and low computational complexity.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2017-03
Language
English
Article Type
Article
Keywords

BROADCAST CHANNELS; EFFICIENCY

Citation

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v.66, no.3, pp.2423 - 2432

ISSN
0018-9545
DOI
10.1109/TVT.2016.2581213
URI
http://hdl.handle.net/10203/223268
Appears in Collection
EE-Journal Papers(저널논문)
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