Modeling and Performance Analysis of Energy Efficiency Binary Power Control in MIMO-OFDM Wireless Communication Systems

6533b824fe1ef96bd1280a0f

RESEARCH PRODUCT

Modeling and Performance Analysis of Energy Efficiency Binary Power Control in MIMO-OFDM Wireless Communication Systems

Xiaohu Ge Yuming Wang Xi Huang Chengqian Cao Frank Y. Li

subject

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413 Scheme (programming language)Theoretical computer science Article Subject Computer Networks and Communications Computer science Binary number Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology lcsh:QA75.5-76.95 0203 mechanical engineering VDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552 Computer Science::Networking and Internet Architecture 0202 electrical engineering electronic engineering information engineering Electronic engineering Global optimization Computer Science::Information Theory computer.programming_language ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS General Engineering 020206 networking & telecommunications 020302 automobile design & engineering Spectral efficiency MIMO-OFDM Power (physics)lcsh:Electronic computers. Computer science computer Power control Efficient energy use

description

Published version of an article in the journal:International Journal of Distributed Sensor Networks. Also available from Hindawi Publishing: http://dx.doi.org/10.1155/2011/946258 The energy efficiency optimization of the binary power control scheme for MIMO-OFDM wireless communication systems is formulated, and then a global optimization solution of power allocation is derived. Furthermore, a new energy efficiency binary power control (EEBPC) algorithm is designed to improve the energy efficiency of MIMO-OFDM wireless communication systems. Simulation results show that the EEBPC algorithm has better energy efficiency and spectrum efficiency than the average power control algorithm in MIMO-OFDM wireless communication systems.

year	journal	country	edition	language
2011-09-01	International Journal of Distributed Sensor Networks

https://doi.org/10.1155/2011/946258

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