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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Vydáno v:	IEEE transactions on communications Ročník 63; číslo 6; s. 2185 - 2199
Hlavní autoři:	Enlong Che, Hoang Duong Tuan, Ho Huu Minh Tam Tam, Nguyen, Ha H.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.06.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
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Abstract	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.
AbstractList	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. 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. ( d ifference of c oncave 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.
Author	Enlong Che Nguyen, Ha H. Hoang Duong Tuan Ho Huu Minh Tam Tam
Author_xml	– sequence: 1 surname: Enlong Che fullname: Enlong Che email: enlong.che@student.uts.edu.au organization: Fac. of Eng. & Inf. Technol., Univ. of Technol., Sydney, NSW, Australia – sequence: 2 surname: Hoang Duong Tuan fullname: Hoang Duong Tuan email: tuan.hoang@uts.edu.au organization: Fac. of Eng. & Inf. Technol., Univ. of Technol., Sydney, NSW, Australia – sequence: 3 surname: Ho Huu Minh Tam Tam fullname: Ho Huu Minh Tam Tam email: huuminhtam.ho@student.uts.edu.au organization: Fac. of Eng. & Inf. Technol., Univ. of Technol., Sydney, NSW, Australia – sequence: 4 givenname: Ha H. surname: Nguyen fullname: Nguyen, Ha H. email: ha.nguyen@usask.ca organization: Dept. of Electr. & Comput. Eng., Univ. of Saskatchewan, Saskatoon, SK, Canada
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SubjectTerms	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
Title	Successive Interference Mitigation in Multiuser MIMO Channels
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