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1. 哈尔滨工业大学(深圳)电子与信息工程学院,广东 深圳 518055
2. 鹏城实验室网络通信研究中心,广东 深圳 518055
Published:30 March 2019,
Published Online:2019-03,
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JIA YU, YACHAO LIANG, SHUSHI GU, et al. Load-aware user association algorithm based on potential game theory for UDN with CoMP. [J]. Chinese journal on internet of things, 2019, 3(1): 30-36.
JIA YU, YACHAO LIANG, SHUSHI GU, et al. Load-aware user association algorithm based on potential game theory for UDN with CoMP. [J]. Chinese journal on internet of things, 2019, 3(1): 30-36. DOI: 10.11959/j.issn.2096-3750.2019.00090.
针对采用多点协调传输技术的异构超密集网络,提出了基于势博弈的负载已知用户关联算法。负载已知用户关联算法可在满足用户服务质量需求的前提下均衡基站负载,避免宏基站过载,同时可有效提升网络吞吐量。该算法适用于对数据传输速率有一定要求的物联网应用场景,仿真实验验证了算法的有效性。
A load-aware user association (LAUA) algorithm based on potential game theory for ultra dense network (UDN) with coordinated multi-point (CoMP) transmission technique was proposed.LAUA algorithm was capable to balance the load of base stations on the premise of satisfying users’ demand for quality of service
avoid over loading problem in heterogeneous UDN.This algorithm was applicable to the Internet of things application scenario that required uploading vedio data and other data transmission rates.The effectiveness of the proposed algorithm was proved by the simulation experiment.
超密集网络多点协调负载已知用户关联
ultra dense networkcoordinated multi-pointload-awareuser association
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