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In this work, we present a cloud-aided uplink framework for multi-waymultiple-antenna relay systems which facilitates joint linear MaximumLikelihood (ML) symbol detection in the cloud and where users are selected tosimultaneously transmit to each other aided by relays. We also investigaterelay selection techniques for the proposed cloud-aided uplink framework thatuses cloud-based buffers and physical-layer network coding. In particular, wedevelop a novel multi-way relay selection protocol based on the selection ofthe best link, denoted as Multi-Way Cloud-Aided Best-User-Link(MWC-Best-User-Link). We then devise the maximum minimum distance relayselection criterion along with the algorithm that is incorporated into theproposed MWC-Best-User-Link protocol. Simulations show that MWC-Best-User-Linkoutperforms previous works in terms of average delay, sum-rate and bit errorrate.

Study of Cloud-Aided Multi-Way Multiple-Antenna Relaying with Best-User Link Selection and Joint ML Detection