Abstract
The demand for higher throughput and more reliable quality of service (QoS) explosive increases the number of base stations in future wireless networks, which causes severe energy waste problems in wireless networks, especially when base stations are in low traffic load status. This paper has two main contributions: first of all, we propose a semistatic energy efficient method to find out the optimal on-off pattern considering the interference from adjacent base stations using integer convex optimization, from which the optimal on-off proportion of base stations could be obtained; then we propose a novel energy efficient cooperative heuristic algorithm in dynamic scenario, by separating the waiting time into two independent Markov processes using the new method; the total power consumption could be reduced significantly by adopting the novel method. Compared with reference method, simulation results indicate that in semistatic scenario, the total system power consumption could be reduced up to 26%, and, in dynamic scenario, the system power consumption could be reduced up to 40%.
Highlights
Electric energy waste in wireless networks has become more and more critical with the rapid development of wireless personal communications
Most of the base stations are working in low load or even no load status at night, and in the daytime residence zone will receive little request of users for most of them are in working zone
Study on energy efficient network control schemes using small cell is quite a new problem according to recent investigation, so we mainly focus on the on-off schemes using small cell in this work
Summary
Electric energy waste in wireless networks has become more and more critical with the rapid development of wireless personal communications. Traditional deployment using macro and micro base stations could not satisfy the demand data traffic in dense city area, because the required average transmission speed per unit area greatly increases in the future wireless systems [8]; base stations with bigger coverage will have lower average capacity per unit area. Considering the demand of future deployment of personal wireless networks, small cell is the effective and flexible equipment to achieve higher data rate and more reliable QoS.
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