| 具有能量获取基站的相邻多蜂窝小区的能量与频谱分配研究 |
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| 引用本文： | 童辉志,张广驰,周绪龙,崔苗,刘怡俊,林凡.具有能量获取基站的相邻多蜂窝小区的能量与频谱分配研究[J].广东工业大学学报,2018,35(4):68-74. |
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| 作者姓名： | 童辉志 张广驰 周绪龙 崔苗 刘怡俊 林凡 |
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| 作者单位： | 1. 广东工业大学 信息工程学院, 广东 广州 510006;2. 广州杰赛科技股份有限公司, 广东 广州 510310 |
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| 基金项目： | 国家自然科学基金资助项目（61571138）；广东省自然科学基金资助项目（2015A030313481）；广东省学科建设专项资金科技创新项目（2013KJCX0060）；广东省科技计划项目（2016A050503044，2016KZ010101，2016KZ010107，2016B090904001，2014B090901061，2015B090901060，2015B090908001）；广州市科技计划项目（201604020127，2014Y2-00211）；广东工业大学培英育才计划资助项目（220411321） |
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| 摘 要： | 研究在基站具有能量获取功能的条件下，相邻多蜂窝小区下行链路的能量与频谱的协作分配，主要考虑用户效用和相邻多蜂窝小区基站收益的联合最大化.在该问题中，用户对小区的选择是资源分配过程中的关键步骤.其中，它的最优方法是穷搜索，但计算复杂度过高.本文提出一种优化用户小区选择的次优方法——信道增益比选择法，解决用户快速选择小区的问题.当用户选择小区后，本文用广义的Stackelberg博弈建模来解决每个蜂窝小区的能量与频谱分配问题.同时基于信道增益比选择法提出两种基准方法——最大信道增益选择法和最短距离选择法.仿真结果表明，信道增益比选择法相对于最大信道增益选择法和最短距离选择法具有更好的用户公平性和基站收益.
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| 关 键 词： | 能量获取 资源分配 Stackelberg博弈 信道增益比 |
| 收稿时间： | 2017-04-25 |
Joint Energy and Spectrum Allocation in Multiple Adjacent Cells with Energy Harvesting Base Stations |
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| Tong Hui-zhi,Zhang Guang-chi,Zhou Xun-long,Cui Miao,Liu Yi-jun,Lin Fan.Joint Energy and Spectrum Allocation in Multiple Adjacent Cells with Energy Harvesting Base Stations[J].Journal of Guangdong University of Technology,2018,35(4):68-74. |
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| Authors: | Tong Hui-zhi Zhang Guang-chi Zhou Xun-long Cui Miao Liu Yi-jun Lin Fan |
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| Affiliation: | 1. School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China;2. Guangzhou GCI Science-Technology Co., Ltd., Guangzhou 510310, China |
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| Abstract: | Joint energy and spectrum cooperative allocation in the downlink is investigated for multiple adjacent cells equipped with energy harvesting base stations. In particular, the joint maximization of the users' utilities and the base stations' revenues in multiple adjacent cells is considered. The users' choice of cells is a key step in the resource allocation process. Since each user has multiple options to join adjacent cells, the optimal method of solving the sum-utility maximizing energy and spectrum allocation problem is the exhaustive search, which finds the best solution among all possible sets of user choices and has high complexity. A computation-efficient suboptimal method of deciding which user can choose the appropriate cell to join is proposed based on the channel gain ratio selection. When the users' choices are fixed, the energy and spectrum allocation problems can be matched with the framework of a generalized Stackelberg game, and can be solved. At the same time, two kinds of reference methods, the maximum channel gain selection method and shortest distance selection method, are proposed based on the channel gain ratio selection. Simulation results have shown that the proposed method has better utility and revenue performances than maximum channel gain selection and shortest distance selection method. |
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| Keywords: | energy harvesting resource allocation Stackelberg game channel gain ratio |
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