Optimal resource allocation for energy efficiency in coordinated multicell OFDMA networks

• Published in: International journal of communication systems Vol. 28; no. 14; pp. 2020 - 2034
• Main Authors: Nguyen, Hiep H., Lee, Suk-Hwan, Hwang, Won-Joo
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 25.09.2015; Wiley Subscription Services, Inc
• Subjects: Algorithms; Ceilings; Cellular communication; Energy consumption; energy efficiency; Energy management; Mathematical models; nonlinear fractional programming; Nonlinearity; Optimization; orthogonal frequency-division multiple access (OFDMA); resource allocation
• ISSN: 1074-5351; 1099-1131
• DOI: 10.1002/dac.2842

Summary Because energy efficiency (EE) is inevitable in future wireless cellular networks, in this paper, we focus on improving the number of bits delivered to users for each unit energy consumption in the downlink of orthogonal frequency‐division multiple access cellular networks with base stations (BSs) coordination. Specifically, each BS shares the channel qualities of users with others and jointly choose the set of co‐channel users and the transmit power allocated to maximize the EE of the system subject to the transmit power ceiling of each BS and minimum required data rate. We formulate the problem as a nonlinear fractional optimization problem, using nonlinear fractional programming, the original hard‐to‐solve problem is transferred to a new one that has the same optimal solution and is easier to solve, this enables two iterative algorithms that achieve nearly the same maximum EE. Numerical results are provided to show the convergence and superiority of the two proposed. Copyright © 2014 John Wiley & Sons, Ltd. This paper proposes algorithms to improve energy efficiency in wireless cellular network. The algorithms are derived using base station cooperation and nonlinear optimization theory.