Multi-Source Transmission for Wireless Relay Networks with Linear Complexity
Liangbin Li, Yindi Jing, Hamid Jafarkhani

TL;DR
This paper introduces two low-complexity transmission schemes for multi-source wireless relay networks, achieving high symbol rates and diversity gains by linear processing at the relay and interference cancellation at the destination.
Contribution
It proposes a linear framework for multi-source relay networks that reduces decoding complexity and enhances symbol rate and diversity gain through novel transmission schemes.
Findings
DSTC-ICRec achieves 1/2 symbols/source/channel use.
Diversity gain is upperbounded by M-J+1 in DSTC-ICRec.
TDMA-ICRec attains maximum diversity gain with higher symbol rate when N ≥ 2J-1.
Abstract
This paper considers transmission schemes in multi-access relay networks (MARNs) where single-antenna sources send independent information to one -antenna destination through one -antenna relay. For complexity considerations, we propose a linear framework, where the relay linearly transforms its received signals to generate the forwarded signals without decoding and the destination uses its multi-antennas to fully decouple signals from different sources before decoding, by which the decoding complexity is linear in the number of sources. To achieve a high symbol rate, we first propose a scheme called DSTC-ICRec in which all sources' information streams are concurrently transmitted in both the source-relay link and the relay-destination link. In this scheme, distributed space-time coding (DSTC) is applied at the relay, which satisfies the linear constraint. DSTC also allows the…
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