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Energy spectral efficiency tradeoff in downlink OFDMA network
Author(s) -
Li Zhihang,
Jiang Huilin,
Pan Zhiwen,
Liu Nan,
You Xiaohu
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.2725
Subject(s) - computer science , mathematical optimization , telecommunications link , particle swarm optimization , spectral efficiency , metric (unit) , transmitter power output , efficient energy use , optimization problem , energy consumption , pareto principle , algorithm , computer network , mathematics , channel (broadcasting) , electrical engineering , operations management , transmitter , economics , engineering
Summary Spectral efficiency (SE) is an important metric in traditional wireless network design. However, as the development of high‐data rate services and rapidly increase of energy consumption, energy efficiency (EE) has received more and more attention. In this paper, we investigate the EE–SE tradeoff in downlink OFDMA network. Different from previous researches, we try to optimize EE and SE simultaneously. First, the problem is formulated as a multiobjective optimization problem (MOP), and its Pareto optimal set is characterized. Then, we convert the MOP to a single‐objective optimization problem (SOP) by the weighted linear sum method and show that it is neither quasi‐convex nor quasi‐concave. After that, a novel algorithm using particle swarm optimization is proposed to solve the SOP. Simulation results validate that the proposed algorithm can efficiently reduce total transmit power and improve EE, although the cost is sacrificing some SE, which could be used to design an flexible energy efficient network in the future.Copyright © 2014 John Wiley & Sons, Ltd.