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Optimal resource allocation for energy efficiency in coordinated multicell OFDMA networks
Author(s) -
Nguyen Hiep H.,
Lee SukHwan,
Hwang WonJoo
Publication year - 2014
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.2842
Subject(s) - computer science , transmitter power output , telecommunications link , base station , orthogonal frequency division multiple access , mathematical optimization , fractional programming , efficient energy use , cellular network , optimization problem , energy consumption , nonlinear programming , resource allocation , channel (broadcasting) , computer network , orthogonal frequency division multiplexing , nonlinear system , algorithm , transmitter , mathematics , ecology , physics , quantum mechanics , electrical engineering , biology , engineering
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.