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Optimal Power Control and Time Allocation for Wireless-powered Relay Networks
Lin Xiao,Fahui Wu,Dingcheng Yang 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.7
In this letter, optimal power control and time resource allocation schemes are considered in wireless relay network, which two users communicate with each other assisted by an energy harvesting relay that gathers energy from the received signal by applying a time switching scheme and forwards the received signal by using the harvesting energy. It is focused on the optimal power control and time resource allocation for the system to cooperate the power transfer and information transmission among three nodes in Decode-and-Forward (DF) mode. Specifically, time ratios for three transmission phases are firstly investigated. Then, we proposed to formulate the power optimization problem with energy constraint. Since the transmission duration of the transmitter is not fixed, the energy constraint instead of power constraint is more reasonable to evaluate the system performance. Through some variables substitution, we demonstrate that it is a convex problem. It can be solved efficiently by convex optimization technology. Simulation results are demonstrated that the performance of the proposed algorithm outperform than the fixed and semi-fixed traditional methods.
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Traffic and QoS-Aware Base Station Sleeping Scheme in Heterogeneous Cellular Networks
Lin Xiao,Fahui Wu,Dingcheng Yang,Yutao Zhu,Jietong Liu 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.9
With the rapid development of cellular networks, wireless communication industry has brought huge energy consumption and becomes the major consumer of environmental degradation inevitably. Thus, it is undoubtedly that realizing the sustainable development of green wireless communication has become the primary goal of global information and communications technology industry. Particularly, in cellular networks, sleep mode applied to base station (BS) is an efficient way. According to the cell traffic intensity, BS switching off/on strategy can reduce power consumption of BS effectively with a pre-condition that the quality of service (QoS) of users must be ensured. In the heterogeneous cellular networks, we proposed a BS sleeping scheme based on the traffic load varying in each cell, which is able to optimize both energy efficiency and power consumption by a multi-objective optimization problem. Then a sub-optimal solution is obtained according to a heuristic algorithm. The simulation results verified that the proposed scheme can improve the network performance.
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