On Cooperative Relay Networks with Video Applications

TL;DR

This paper explores cooperative relay strategies in cognitive radio networks, enhancing video streaming performance through spectrum sensing, interference alignment, and distributed algorithms for various channel configurations.

Contribution

It introduces novel algorithms for cooperative relay in CR networks, including optimal and greedy solutions with proven convergence, tailored for different channel scenarios.

Findings

Optimal algorithms achieve convergence with proven speed.

Interference alignment improves multi-user video transmission.

Greedy algorithm provides bounded performance in multi-channel scenarios.

Abstract

In this paper, we investigate the problem of cooperative relay in CR networks for further enhanced network performance. In particular, we focus on the two representative cooperative relay strategies, and develop optimal spectrum sensing and $p$-Persistent CSMA for spectrum access. Then, we study the problem of cooperative relay in CR networks for video streaming. We incorporate interference alignment to allow transmitters collaboratively send encoded signals to all CR users. In the cases of a single licensed channel and multiple licensed channels with channel bonding, we develop an optimal distributed algorithm with proven convergence and convergence speed. In the case of multiple channels without channel bonding, we develop a greedy algorithm with bounded performance.