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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2017 Vol.9(3): 211-217 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2017.V9.1140

QoS-aware User Load Management with Beamforming for Energy Efficiency in Wireless Networks

Naveed Ali Kaim Khani, Zhe Chen, and Fuliang Yin
Abstract—Abstract—To overcome the congestion by load management of cell network, beam breathing based load management scheme is proposed to meet the issue. The proposed energy efficient load management scheme is based on beamforming layer breathing and multiple users handling of single beamforming transmission. The beam breathing is first handled by downlink beamforming transmission power control (breathe in or out) to manage the congestion. Subsequently, a single beam multi-users method for load balancing is discussed. Lastly, the linear equalizers Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) with successive interference cancellation are exploited to recover information from multiplexed transmissions. The proposed scheme is effective to decrease the power consumption, congestion control, load balancing and is also constructive to increase the data rate in wireless communication. Simulation results reveal that the proposed work is quite better than the existing solutions in terms of throughput and energy consumption.

Index Terms—Index Terms—Beamforming breathing, load balancing, congestion control, inter-cell interference, energy-efficient network.

All authors are with the School of Information and Communication Engineering, Dalian University of Technology, Dalian, 116023, China (e-mail: Naveedali64@yahoo.fr, zhechen@dlut.edu.cn, flyin@dlut.edu.cn).


Cite:Naveed Ali Kaim Khani, Zhe Chen, and Fuliang Yin, "QoS-aware User Load Management with Beamforming for Energy Efficiency in Wireless Networks," International Journal of Computer Theory and Engineering vol. 9, no. 3, pp. 211-217, 2017.

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