Optimal Reference Vector Selection Algorithm in Subspace Interference Alignment to Maximize System Throughput

Authors:
Dongkeol Han;Bing Hui;Kyunghi Chang;Bontae Koo
Affiliations:
The Graduate School of IT and Telecommunications, Inha University, Incheon, Korea 402-751;The Graduate School of IT and Telecommunications, Inha University, Incheon, Korea 402-751;The Graduate School of IT and Telecommunications, Inha University, Incheon, Korea 402-751;System SoC Research Department, ETRI, Daejeon, Korea
Venue:
Wireless Personal Communications: An International Journal
Year:
2013

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Abstract

Arbitrary reference vectors have been adopted in conventional subspace alignment as transmitting vectors at the transmitter side. Inter-cell interference among users can be eliminated using orthogonal vectors to the chosen reference vectors at the receiver side. However, in this case, the sum-rate varies using different reference vectors, even though the channel values remain constant, and vice versa. In this paper, we analyzed the variation of sum-rate corresponding to reference vectors. An optimal reference vector selection algorithm based on subspace interference alignment is proposed to increase multi-cell capacity. The proposed algorithm adopts reference vectors with small variance. Simulation results show that the proposed algorithms provide about 50 % higher sum-rate than does the conventional subspace interference alignment algorithm.