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Efficient Novel Energy Spectrum Trading Scheme

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Abstract
The Mobile Network in Green communications has received much attention recently. The power consumption of BSs is crucial to greening mobile networks because the base stations (BSs) account for more than 50% of the energy consumption of the networks. In this paper, we propose the Power consumption minimization (PCM) scheme which enables the macro BSs to offload their mobile traffic to ISP's wireless access points by leveraging cognitive radio techniques. Since the internet service providers wireless access points are usually closer to the mobile users, the energy and spectral efficiency of mobile networks are enhanced. However, in the HPCM scheme, achieving optimal mobile traffic offloading in terms of minimizing the energy consumption of the macro Base Stations is NP-hard. We thus propose a heuristic algorithm to approximate the optimal solution with low computation complicated. We have proved that the energy savings achieved by the proposed heuristic algorithm is at least 50% of that achieved by the brute-force search. Simulation results demonstrate the performance and viability of the proposed PCM scheme and the heuristic algorithm.
Keywords:Green communications, HPCM scheme, NP-hard, Power consumption minimization.

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