Interference-Aware Cooperative Communication in Multi-Radio Multi-Channel Wireless Networks

PROJECT TITLE :

Interference-Aware Cooperative Communication in Multi-Radio Multi-Channel Wireless Networks

ABSTRACT:

There are a ton of recent interests on cooperative Communication (CC) in wireless networks. Despite the big capacity gain of CC in little wireless networks with its capability of mitigating fading making the most of spatial diversity, cooperative Communication can result in severe interference in giant networks and even degraded throughput. The aim of this work is to concurrently exploit multi-radio and multi-channel (MRMC) technique and cooperative transmission technique to combat co-channel interference and improve the performance of multi-hop wireless network. Our proposed answer concurrently considers cooperative routing, channel assignment, and relay selection and takes advantage of both MRMC technique and spatial diversity in cooperative wireless networks to enhance the throughput. We have a tendency to propose 2 necessary metrics, contention-aware channel utilization routing metric (CACU) to capture the interference price from each direct transmission and cooperative transmission, and traffic aware channel condition metric (TACC) to judge the channel load condition. Based mostly on these metrics, we propose three algorithms for interference-aware cooperative routing, local channel adjustment, and local path and relay adaptation respectively to ensure high performance Communications in dynamic wireless networks. Our algorithms are designed to be fully distributed and will effectively mitigate co-channel interference and achieve cooperative diversity gain. To our best knowledge, this is the first distributed answer that supports cooperative Communications in MRMC networks. Our performance studies demonstrate that our proposed algorithms will efficiently support cooperative Communications in multi-radio multi-hop networks to considerably increase the combination throughput.

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