JOURNAL ARTICLE

Energy-Efficiency Based Resource Allocation for D2D Communication and Cellular Networks

Abstract

In this paper, we present an energy efficiency based resource allocation scheme for a heterogeneous integrated network consisting of device-to-device (D2D) communication system and a cellular communication system. We study the power allocation and network mode selection scheme for users' coexistence of both systems in terms of energy efficiency maximization of the heterogeneous network (Het Net). The formulated optimization problem is a fractional non-convex problem, the standard convex optimization techniques cannot be applied directly. With the use of fractional programming and dual problem formulation, we are able to solve the non-convex problem, taking into consideration the minimum data rate required, the minimum received power and the maximum device dependent radiated power constraints. Results show that the optimal solution can be achieved with a relatively small number of iterations. Also results show that the increase in both the number of users and system data rate does not necessarily lead to an increase in the energy efficiency of the network.

Keywords:
Fractional programming Computer science Maximization Mathematical optimization Efficient energy use Resource allocation Convex optimization Optimization problem Power (physics) Telecommunications network Regular polygon Distributed computing Computer network Mathematics Engineering Nonlinear programming Electrical engineering

Metrics

10
Cited By
1.29
FWCI (Field Weighted Citation Impact)
19
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications

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