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Co-channel Interference Mitigation Using Convolutional Enconder via Joint Decoding Viterbi Algorithm

Abstract:

This paper proposes and develops a modification in the traditional Viterbi algorithm for a co-channel interference scenario in cellular networks where the desired and interferer users employ convolutional encoder. Thus, a decoding that explicitly take into account the error correction encoded and modulation format of both desired and interferer user, in order to decode jointly and combat co-channel interference is proposed. Furthermore, it is demonstrated by simulation that the joint decoding Viterbi algorithm proposed outperforms the traditional Viterbi algorithm, which assumes that interference co-channel is Gaussian. Further the proposed joint decoding Viterbi algorithm does not present bit error rates floors even in presence of strong co-channel interference user. The simulation results show that the joint decoding Viterbi algorithm presents a few dB of loss when compared to a system without co-channel interference. Thus, the results presented in this paper can be useful to related applications such as spatial multiplexing and Non-orthogonal multiple access NOMA systems.