DocumentCode :
1762941
Title :
MIMO Full-Duplex Precoding: A Joint Beamforming and Self-Interference Cancellation Structure
Author :
Huberman, Sean ; Tho Le-Ngoc
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
Volume :
14
Issue :
4
fYear :
2015
fDate :
42095
Firstpage :
2205
Lastpage :
2217
Abstract :
This paper presents a single- or multi-user Multiple-Input-Multiple-Output (MIMO) Full-Duplex (FD) precoding transceiver structure applicable for single-carrier and Orthogonal Frequency Division Multiplexing (OFDM) systems. The structure increases the dimensionality at the transmitter, which allow for the cancellation of self-interference and forward beamforming to be jointly processed using precoding at the transmitter. The FD Precoding (FDP) structure allows for various joint precoding algorithms and different optimization objectives. We present separate and joint precoding designs for sum-rate maximization and a theoretical analysis of when the separate design is optimal. The joint designs make use of Sequential Convex Programming (SCP). Extensive simulation results using both channel models and measured data show that the FDP structure can provide very significant performance gains over existing techniques for both SU- and MU-MIMO systems. In particular, the FDP structure provides between 1.6 and 1.8 times the spectral efficiency of optimized half-duplex for many of the tested SU-MIMO scenarios.
Keywords :
MIMO communication; OFDM modulation; array signal processing; channel coding; convex programming; interference suppression; multi-access systems; precoding; radio transceivers; radiofrequency interference; spectral analysis; wireless channels; FD Precoding; FDP; MIMO full-duplex precoding; MU-MIMO system; OFDM system; SCP; SU-MIMO system; beamforming; channel model; multiuser multiple input multiple output full-duplex precoding transceiver; orthogonal frequency division multiplexing system; self-interference cancellation structure; sequential convex programming; spectral efficiency; sum-rate maximization; transmitter; Channel estimation; Covariance matrices; Interference; Joints; MIMO; Optimization; Receivers; Full-duplex; MIMO; precoding; self-interference cancellation; transceiver design;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2014.2382589
Filename :
6990627
Link To Document :
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