Wireless MIMO Switching with Network Coding
Fanggang Wang, Soung Chang Liew

TL;DR
This paper introduces a wireless MIMO switching framework using beamforming and network coding to optimize traffic routing among multiple stations, demonstrating that a small subset of switch matrices suffices for high throughput.
Contribution
It proposes a novel MIMO switch architecture with efficient scheduling strategies and shows that a limited set of permutation matrices can achieve near-optimal throughput.
Findings
For N=4 and 5, only N-1 switch matrices are needed for good throughput.
Physical-layer network coding significantly improves throughput.
The scheduling problem remains manageable for large N under the proposed approach.
Abstract
In a generic switching problem, a switching pattern consists of a one-to-one mapping from a set of inputs to a set of outputs (i.e., a permutation). We propose and investigate a wireless switching framework in which a multi-antenna relay is responsible for switching traffic among a set of stations. We refer to such a relay as a MIMO switch. With beamforming and linear detection, the MIMO switch controls which stations are connected to which other stations. Each beamforming matrix realizes a permutation pattern among the stations. We refer to the corresponding permutation matrix as a switch matrix. By scheduling a set of different switch matrices, full connectivity among the stations can be established. In this paper, we focus on "fair switching" in which equal amounts of traffic are to be delivered for all ordered pairs of stations. In particular, we investigate how the…
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Taxonomy
TopicsCooperative Communication and Network Coding · Advanced Wireless Communication Technologies · Full-Duplex Wireless Communications
