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| Decoding Order Algorithm Based on Rate-splitting in Gaussian Interference Channels |
| Zhang Bo①② Li Yong①③ Bai Bao-ming① Zhou Shu-hua④ |
①(State Key Laboratory of Integrated Services?Networks, Xidian University, Xi’an 710071, China)
②(No.96401 Troop, Baoji 721000, China)
③(College of Education Science and Technology, Shanxi Datong University, Datong 037009, China)
④(Petty Officer Institute, the Second Artillery Engineering University, Qingzhou 262500, China) |
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Abstract This paper proposes a novel algorithm for determination of decoding order for the Gaussian Interference Channel (GIC) based on max-min fairness. The algorithm is developed using rate-splitting technique to improve the sum-rate of GIC. Based on the proposed algorithm, an expression of the number of rate-splitting is derived to make the sum-rate approach the maximum value in two-user GIC. Numerical results show that, in the two-user symmetric GIC, the proposed decoding order algorithm improves significantly the performance over the greedy algorithm on the two-user symmetrical GIC within a wide range of channel coefficients, and the sum-rate of the proposed scheme can approach the inner bound of Sason as increasing the interference factor on two-user symmetric GIC.
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Received: 08 October 2012
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Corresponding Authors:
Bai Bao-ming
E-mail: bmbai@mail.xidian.edu.cn
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2013, Vol. 35 
