Opportunistic Relay Selection with Limited Feedback

Caleb K. Lo, Robert W. Heath, Sriram Vishwanath

2007 · 43 citations · 17 references

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Concepts

TL;DR

Decentralized relay selection using opportunistic feedback achieves good throughput in dense wireless networks, supports hybrid‑ARQ parity forwarding, but lags behind centralized best‑channel strategies. This study aims to close that performance gap by introducing an additional level of channel feedback into the decentralized relay selection process. The authors analyze how varying the number of relays and the channel‑feedback threshold, and adding a single extra feedback bit, affects throughput and bit‑error‑rate performance. Results show that only one extra feedback bit suffices for near‑optimal throughput and that relay selection significantly reduces bit‑error rates.

Abstract

It has been shown that a decentralized relay selection protocol based on opportunistic feedback from the relays yields good throughput performance in dense wireless networks. This selection strategy supports a hybrid-ARQ transmission approach where relays forward parity information to the destination in the event of a decoding error. Such an approach, however, suffers a loss compared to centralized strategies that select relays with the best channel gain to the destination. This paper closes the performance gap by adding another level of channel feedback to the decentralized relay selection problem. It is demonstrated that only one additional bit of feedback is necessary for good throughput performance. The performance impact of varying key parameters such as the number of relays and the channel feedback threshold is discussed. An accompanying bit error rate analysis demonstrates the importance of relay selection.

References

17