Title :
Energy Efficient Wireless Multicasting
Author :
Han, Tao ; Ansari, Nirwan
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
fDate :
6/1/2011 12:00:00 AM
Abstract :
This letter proposes an energy-efficient wireless multicasting scheme in which the base station (BS) and the mobile users cooperate to reduce the total power consumption in wireless multicasting. Minimizing the power consumption under the scheme is an NP-hard problem. The gradient guided approximation algorithm is thus proposed to achieve low computational complexity. The proposed energy-efficient wireless multicasting scheme consumes less energy than other multicasting schemes without cooperation. The energy savings are validated through well designed simulations.
Keywords :
approximation theory; computational complexity; cooperative communication; gradient methods; multicast communication; NP-hard problem; base station; computational complexity; cooperative communications; energy-efficient wireless multicasting scheme; gradient guided approximation algorithm; mobile users; power consumption reduction; Array signal processing; Power demand; Receiving antennas; Relays; Signal to noise ratio; Transmitting antennas; Wireless communication; Energy efficient; beamforming; cooperative communications; wireless multicasting;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2011.050311.110077
