异构无线网络基于业务特性的动态无线资源管理（英文）

The traffic with tidal phenomenon in Heterogeneous Wireless Networks(HWNs)has radically increased the complexity of radio resource management and its performance analysis.In this paper,a Simplified Dynamic Hierarchy Resource Management(SDHRM)algorithm exploiting the resources dynamically and intelligently is proposed with the consideration of tidal traffic.In network-level resource allocation,the proposed algorithm first adopts wavelet neural network to forecast the traffic of each sub-area and then allocates the resources to those sub-areas to maximise the network utility.In connection-level network selection,based on the above resource allocation and the pre-defined QoS requirement,three typical network selection policies are provided to assign traffic flow to the most appropriate network.Furthermore,based on multidimensional Markov model,we analyse the performance of SDHRM in HWNs with heavy tailed traffic.Numerical results show that our theoretical values coincide with the simulation results and the SDHRM can improve the resource utilization.     

5G绿色超密集无线异构网络:理念、技术及挑战

超密集无线异构网络被公认为是大幅提升无线网络容量、解决蜂窝网所面临的1 000倍数据量挑战最富有前景的一种5G组网技术.但是,与5G愿景背道而驰的是网络的超密集化部署在提升谱效的同时也极度地增大了系统的能耗,降低了通信能效.旨在利用超密集异构网络具有的全网管理能力和网络分集效应,从宏观的网络匹配与微观的资源聚合两方面探索超密集异构网络绿色演进的关键理论与技术.首先论述了绿色演进的基本理念,然后提出了利用负载自适应的基站开关控制、主动缓存和干扰感知的跨网资源分配三大关键技术来提升网络的能效,同时也讨论了每种技术在应用时所面临的挑战.     

认知蜂窝网络环境下的上行节能方法研究

针对蜂窝网用户在高速数据传输时能耗过高的问题,基于认知蜂窝网络模型,提出了一种通过合理利用认知网络资源进行多网络并发传输的最大能效传输策略。该策略利用多模终端可以同时接入不同网络进行并发传输的特点,建立用户能效模型,并通过研究并发传输时不同网络可用信道状态、能耗和数据传输速率之间的关系,得出使用户能效最大的认知网络资源使用和数据传输速率分配算法。仿真结果表明,该最大能效策略能够有效提升用户的能效。