Interference Alignment with Hierarchical Random Vector Quantization for MIMO Interference Channels

被引：0

作者：

Hong, Li ^{[1
]}

Meng, Juan ^{[1
]}

Han, Zhiming ^{[1
]}

Li, Yanan ^{[1
]}

Guo, Lili ^{[1
]}

机构：

[1] Inst Disaster Prevent, Dept Disaster Prevent Instrument, Sanhe 101601, Peoples R China

来源：

PROCEEDINGS 2016 IEEE 6TH INTERNATIONAL CONFERENCE ON ELECTRONICS INFORMATION AND EMERGENCY COMMUNICATION (ICEIEC) | 2016年

关键词：

Multiple-input multiple-output; interference alignment; limited feedback; random vector quantization; hierarchical codebook; FEEDBACK; SYSTEMS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Interference alignment (IA) boosts system throughput by effectively mitigating interference for high signal-to-noise (SNR) with perfect and global channel state information (CSI). In a system employ frequency division duplex (FDD), CSI is conveyed by feedback channel. Random vector quantization (RVQ) is widely used to reduce the overhead of feedback because it is easy to design and near-optimal, but suffer high computational complexity to find the best codeword. This paper derives the upper loss of the IA based system throughput due to quantization error of CSI, and proposes an IA scheme with hierarchical RVQ (HRVQ) to reduce effectively the computational complexity in the best codeword selection for CSI.

引用

页码：163 / 167

页数：5

共 18 条

[1] Interference alignment and degrees of freedom of the K-user interference channel [J].

Cadambe, Viveck R. ;

Jafar, Syed Ali .

IEEE TRANSACTIONS ON INFORMATION THEORY, 2008, 54 (08) :3425-3441

[2] Feedback-Topology Designs for Interference Alignment in MIMO Interference Channels [J].

Cho, Sungyoon ;

Huang, Kaibin ;

Kim, Dong Yu ;

Lau, Vincent K. N. ;

Chae, Hyukjin ;

Seo, Hanbyul ;

Kim, Byoung-Hoon .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2012, 60 (12) :6561-6575

[3]

Conway John H., 1996, Experiment. Math., V5, P139, DOI DOI 10.1080/10586458.1996.10504585

[4] Quantization bounds on Grassmann manifolds and applications to MIMO communications [J].

Dai, Wei ;

Liu, Youjian Eugene ;

Rider, Brian .

IEEE TRANSACTIONS ON INFORMATION THEORY, 2008, 54 (03) :1108-1123

[5] A Distributed Numerical Approach to Interference Alignment and Applications to Wireless Interference Networks [J].

Gomadam, Krishna ;

Cadambe, Viveck R. ;

Jafar, Syed A. .

IEEE TRANSACTIONS ON INFORMATION THEORY, 2011, 57 (06) :3309-3322

[6]

Ko K., 2012, 2012 IEEE WIR COMM N, P873

[7] Interference Alignment Under Limited Feedback for MIMO Interference Channels [J].

Krishnamachari, Rajesh T. ;

Varanasi, Mahesh K. .

2010 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, 2010, :619-623

[8]

Lee HY, 2012, 2012 9TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAL), P1, DOI [10.1109/EISIC.2012.69, 10.1109/URAI.2012.6462916]

[9] An Overview of Limited Feedback in Wireless Communication Systems [J].

Love, David J. ;

Heath, Robert W., Jr. ;

Lau, Vincent K. N. ;

Gesbert, David ;

Rao, Bhaskar D. ;

Andrews, Matthew .

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2008, 26 (08) :1341-1365

[10] Cooperative Algorithms for MIMO Interference Channels [J].

Peters, Steven W. ;

Heath, Robert W., Jr. .

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2011, 60 (01) :206-218

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