Energy-Efficient Optimal Relay Selection in Cooperative Cellular Networks Based on Double Auction

Energy-Efficient Optimal Relay Selection in Cooperative Cellular Networks Based on Double Auction
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DOI:
10.1109/twc.2015.2416715
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发表时间:
2015-08-01
影响因子:
10.4
通讯作者:
Wang, Chonggang
Wang, Chonggang
中科院分区:
计算机科学1区
文献类型:
--
作者:
Li, Yun;Liao, Chao;Wang, Chonggang

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容量和能源效率对下一代无线网络至关重要。本文研究了协同蜂窝网络中的能量效率问题。基于双拍卖理论,建立了最优中继分配问题模型,旨在通过优化能效来提高蜂窝边缘用户(ceu)的性能。在提出的基于拍卖的模型中,考虑了用户的自私性质,即处于空闲状态的用户不愿意为活跃的ceu传递信息,除非他们得到足够的报酬。因此,我们使用加价来确定出价和要价。在此基础上,对能效进行了定义,并建立了能效优化模型。为了解决能效优化问题,提出了一种节能的最大加权匹配算法(EE- mwm)。最后,从EE、容量和社会福利三个方面对EE- mwm的性能进行了评价,结果表明EE- mwm可以极大地提高协同蜂窝网络的性能。
Both capacity and energy efficiency are crucial for next-generation wireless networks. This paper investigates energy efficiency in cooperative cellular networks. Based on the double auction theory, we model the optimal relay assignment problem, which aims at improving the performance of cell-edge users (CEUs) with energy efficiency optimization. In the proposed auction-based model, the selfish nature of users is taken into consideration, which means users in the idle state are unwilling to relay the information for active CEUs unless they are paid enough. Therefore, we use mark-up to determine the bid and ask. Furthermore, the energy efficiency (EE) is defined and the model for optimizing the EE is built. An energy-efficient maximum weighted matching algorithm (EE-MWM) is proposed to solve the EE optimization problem. Finally, the performance of EE-MWM is evaluated in terms of EE, capacity and social welfare, which shows that EE-MWM can greatly improve the performance of cooperative cellular networks.