Wireless Network Code Design and Performance Analysis using Diversity-Multiplexing Tradeoff
Hakan Topakkaya, Zhengdao Wang

TL;DR
This paper designs and analyzes network coding schemes for cooperative wireless networks, demonstrating they outperform traditional methods in diversity-multiplexing tradeoff, achieving full diversity with minimal multiplexing loss.
Contribution
It introduces deterministic and random network coding schemes for cooperative wireless networks and links coding matrices to MDS codes, showing they maximize diversity order.
Findings
Outperforms conventional cooperation in DMT.
Achieves full diversity with slight multiplexing reduction.
Uses Cauchy and Vandermonde matrices for optimal coding.
Abstract
Network coding and cooperative communication have received considerable attention from the research community recently in order to mitigate the adverse effects of fading in wireless transmissions and at the same time to achieve high throughput and better spectral efficiency. In this work, we design and analyze deterministic and random network coding schemes for a cooperative communication setup with multiple sources and destinations. We show that our schemes outperform conventional cooperation in terms of the diversity-multiplexing tradeoff (DMT). Specifically, it achieves the full-diversity order at the expense of a slightly reduced multiplexing rate. We establish the link between the parity-check matrix for a systematic MDS code and the network coding coefficients in a cooperative communication system of source-destination pairs and relays. We present two ways to…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCooperative Communication and Network Coding · Full-Duplex Wireless Communications · Advanced Wireless Communication Technologies
