Rate Optimization for IDMA Systems with Iterative Joint Multi-User Decoding
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Yang, Tao
Yuan, Jinhong
Shi, Zhenning
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Institute of Electrical and Electronics Engineers (IEEE Inc)
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In this letter, we develop a rate allocation scheme for interleave-division multiple-access (IDMA) systems with iterative decoding. We use a fully-analytical approach to predict the performance of the scheme. Then, we propose a modified linear programming method to find the best rate profile for the scheme. Numerical results show that with just repetition coding and optimal rate allocation, the performance of the scheme is only about 5 dB away from the capacity for a wide range of SNR, provided that the number of users is sufficiently large. Compared with power allocation schemes for IDMA, the proposed rate allocation scheme achieves a similar performance at a moderate spectral efficiency and the requirement of sophisticated power amplifiers can be relaxed.
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IEEE Transactions on Wireless Communications
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2037-12-31
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