For the dense macro-femto coexistence networks scenario, a long-term-based handover（LTBH） algorithm is proposed. The handover decision algorithm is jointly determined by the angle of handover（AHO） and the time-tos...
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For the dense macro-femto coexistence networks scenario, a long-term-based handover（LTBH） algorithm is proposed. The handover decision algorithm is jointly determined by the angle of handover（AHO） and the time-tostay（TTS） to reduce the unnecessary handover ***, the proposed AHO parameter is used to decrease the computation complexity in multiple candidate base stations（CBSs） scenario. Then, two types of TTS parameters are given for the fixed base stations and mobile base stations to make handover decisions among multiple CBSs. The simulation results show that the proposed LTBH algorithm can not only maintain the required transmission rate of users, but also effectively reduce the unnecessary numbers of handover in the dense macro-femto networks with the coexisting mobile BSs.
针对毫微微蜂窝(femtocell)网络中多种业务(固定速率业务和可变速率业务)环境下如何公平分配毫微微蜂窝基站(femtocell base station,FBS)资源的问题,提出了一种基于比例公平算法的femto-macro异构网络资源分配算法。该算法以基于比例...
详细信息
针对毫微微蜂窝(femtocell)网络中多种业务(固定速率业务和可变速率业务)环境下如何公平分配毫微微蜂窝基站(femtocell base station,FBS)资源的问题,提出了一种基于比例公平算法的femto-macro异构网络资源分配算法。该算法以基于比例公平法则的可变速率用户的吞吐量为优化目标,并以每个用户的服务质量(quality of service,Qo S)、FBS的下行传输总功率和宏蜂窝(macrocell)用户的跨层同频干扰门限值为约束组成优化问题。在上述资源分配最优化问题为凸优化问题的基础上,采用对偶分解算法进行求解。仿真结果表明,提出的算法在保证不同用户Qo S的同时,不仅能够有效地公平分配资源给可变速率用户,而且降低了macrocell用户受到来自FBS的跨层同频干扰。
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