Successive Interference Mitigation in Multiuser MIMO Channels

Motivated by the work of Dahrouj and Yu in applying the Han-Kobayashi transmission strategy for mitigating the intercell interference in a multi-cell multi-user multiple-input single-output interference network (MISO IN), this paper considers splitting messages into private and common parts in a mul...

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Bibliographic Details
Published in:IEEE transactions on communications Vol. 63; no. 6; pp. 2185 - 2199
Main Authors: Enlong Che, Hoang Duong Tuan, Ho Huu Minh Tam Tam, Nguyen, Ha H.
Format: Journal Article
Language:English
Published: New York IEEE 01.06.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Channels
d.c. programming
Decoding
Interference
interference mitigation
Mathematical analysis
Mathematical models
Messages
MIMO
multi-input multi-output systems
Multi-user interference networks
Noise
nonsmooth optimization
Optimization
Receivers
Strategy
Symmetric matrices
multi-input multi-output systems
Multi-user interference networks
nonsmooth optimization
d.c. programming
interference mitigation
ISSN:0090-6778, 1558-0857
Online Access:Get full text
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Summary:Motivated by the work of Dahrouj and Yu in applying the Han-Kobayashi transmission strategy for mitigating the intercell interference in a multi-cell multi-user multiple-input single-output interference network (MISO IN), this paper considers splitting messages into private and common parts in a multi-cell multi-user MIMO IN. Specifically, the covariances of the private messages and common messages are designed to optimize either the sum rate or the minimal rate. The common messages and private messages are decoded in sequence using successive decoding. This paper shows how these difficult optimization problems can be adequately solved by means of d.c. (difference of concave functions) optimization over a simple convex set. Numerical and simulation results also reveal the great advantage of our proposed solutions for various types of INs. In particular, the proposed solutions are shown to outperform the algorithm developed by Dahrouj and Yu for the simpler case of the MISO IN.
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ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2015.2429127