Analysis and performance of network decoding strategies for cooperative network coding |
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| Institution: | 1. Centre for Climate Change Adaptation and Resilience, Kgotso Development Trust, P.O. Box 5, Beitbridge, Zimbabwe;2. Department of Geosciences, Faculty of Science, Nelson Mandela University, Port Elizabeth 6000, South Africa;3. Department of Electronics and Telecommunications, University of Zimbabwe, 630 Churchill Avenue, Mount Pleasant, Harare, Zimbabwe;4. Department of Space Sciences and Applied Physics, University of Zimbabwe, 630 Churchill Avenue, Mount Pleasant, Harare, Zimbabwe;1. Tshwane University of Technology, Staatsartillerie Rd, Pretoria West, Pretoria, 0001;2. University of South Africa, Florida, Johannesburg, 1709 |
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| Abstract: | In this work, we present two new low-complexity network decoding strategies for cooperative network coding in a multiple-access relay channel scenario. For these two strategies, Selection and Soft Combining and Majority Vote Network Decoding, along with the optimal joint network decoding, we derive expressions for bit error probability performance as a function of the signal-to-noise ratio (SNR) of the different Rayleigh fading links, and show the tightness of the derived bounds through simulation results. The two proposed schemes provide a similar bit error probability (BEP) performance compared to the optimal scheme, while having significantly lower complexity. Further, we study the effect of user pairing on the error performance by considering different SNRs on the user and relay links towards the destination. It is also shown that the error performance of the different schemes follows the same trend for a given user pairing strategy. |
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