Coopetition methodology for resource sharing in distributed OFDM-based cognitive radio networks

TL;DR

This paper introduces a novel distributed resource allocation method called coopetition for OFDMA-based cognitive radio networks, balancing fairness and spectral efficiency through combined cooperation and competition.

Contribution

It proposes a generic coopetition framework for distributed resource management, specifically applied to OFDMA cognitive radio networks, enhancing efficiency and fairness.

Findings

Efficient resource utilization demonstrated through simulations

The framework balances fairness and spectral efficiency effectively

Practical applicability in wireless cognitive networks confirmed

Abstract

In this paper, we present a distributed resource allocation mechanism in cognitive radio networks, based on a new coopeti-tion methodology, which combines advantages of nodes competition and cooperation. We postulate that this new method allows for fully distributed resource management between cognitive radio devices. The presented framework is generic, however, we consider it for the application in OFDMA networks. Coopetition takes the best from cooperative and competitive problem formulation and provides the opportunity to control the balance between fairness and spectral efficiency (SE) of resource allocation. Simulation results confirm that coopetition allows for efficient resource utilization, and may be used practically in wireless cognitive networks.