Abstract

Cooperative Communications in Cognitive Radio (CR) have been introduced as an essential and efficient technique to improve the transmission performance of primary users and offer transmission opportunities for secondary users. In a typical multiuser Cooperative Communication in CR, each primary user can choose one secondary user as a relay node. To encourage the cooperative behavior of the secondary users, primary users lease a fraction of their allocated spectrum to the relay secondary users to transmit their data packets. In this work, a novel unselfish spectrum leasing scheme in CR networks is proposed that offers an energy-efficient solution minimizing the environmental impact of our network. A network management architecture is introduced, and resource allocation is proposed as a constrained sum energy efficiency maximization problem. The optimization problem is formulated and solved using non-linear programming methods and based on a modified Kuhn-Munkres bipartite matching algorithm. System simulations demonstrate an increment in the energy efficiency of the primary users’ network compared with previously proposed algorithms.

Highlights

  • The exponential growth of wireless services in the last decades has called for additional spectrum to accommodate the ever-increasing traffic flow [1]

  • Our analysis shows that this problem can be divided into two subproblems: (1) power allocation, (2) transmission mode and relay selection

  • The resource allocation problem is formulated as a constrained sum energy efficiency maximization problem

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Summary

Introduction

The exponential growth of wireless services in the last decades has called for additional spectrum to accommodate the ever-increasing traffic flow [1]. To provide improved cooperation between PUs and SUs and to secure an unselfish behavior of each user, we propose a resource management network architecture for a considered cell. This architecture, composed of various entities, will be responsible for making decisions regarding the usage of relay and for applying the optimal strategy to achieve the maximum energy efficiency of the cell. A novel unselfish resource allocation scheme for CRNs. Unlike most of works where PUs decide whether or not to cooperate with SUs, the decisions are made by a centralized approach with the goal of improving the overall energy efficiency of the cell.

Proposed Architecture and System Model for CCRN
Energy Efficiency of PUs
Direct Mode
Relay Mode
Energy Efficiency of SUs
Optimization Problem Formulation
Power Allocation Subproblem
Equivalent Problem Transformation
Energy Efficiency Maximization
1: Set tollerance ζ and maximum number of iterations nmax
Transmission Mode and Relay Selection Subproblem
Results
Convergence of the Iterative Algorithm
Energy Efficiency Versus Maximum Transmit Power
Energy Efficiency Versus Number of Pus
Energy Efficiency Versus Path Loss Exponent
Energy Efficiency Versus Shadowing Standard Deviation
Energy Efficiency Versus Time Slot Division
Conclusions
Full Text
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