2018IEEE Wireless Communications LettersRequires access

Compute-and-Forward for Uplink Non-Orthogonal Multiple Access

Cheng Guo, Abdelmalik Nasser Ali Aljalai, Chen Feng, Liqiang Zhao, Victor C. M. Leung, Rabab Ward

Open publisher page 14 citations

Abstract

Successive interference cancellation (SIC) has been regarded as the de facto decoding method in the non-orthogonal multiple access (NOMA) system. However, SIC often requires the paired users to have significantly different received power levels for the uplink scenario. This is problematic in terms of fairness and outage probabilities when the paired users are close to each other. To address this challenge, we propose a new decoding method for uplink NOMA based on compute-and-forward. In particular, we show that our method achieves better fairness and smaller average outage probabilities while enjoying essentially the same complexity as SIC decoding.

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What this paper is about

Successive interference cancellation (SIC) has been regarded as the de facto decoding method in the non-orthogonal multiple access (NOMA) system. However, SIC often requires the paired users to have significantly different received power levels for the uplink scenario. This is problematic in terms of fairness and outage probabilities when the paired users are close to each other. To address this challenge, we propose a new decoding method for uplink NOMA based on compute-and-forward. In particular, we show that our method achieves better fairness and smaller average outage probabilities while enjoying essentially the same complexity as SIC decoding.

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OpenAlex reports 14 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Successive interference cancellation (SIC) has been regarded as the de facto decoding method in the non-orthogonal multiple access (NOMA) system. However, SIC often requires the paired users to have significantly different received power levels for the uplink scenario. This is problematic in terms of fairness and outage probabilities when the paired users are close to each other. To address this challenge, we propose a new decoding method for uplink NOMA based on compute-and-forward. In particular, we show that our method achieves better fairness and smaller average outage probabilities while enjoying essentially the same complexity as SIC decoding.

Key concepts: Telecommunications link, Decoding methods, Single antenna interference cancellation, Noma, Computer science, Interference (communication), Power (physics), Outage probability

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