随着无线业务数据量的激增,基于单用户多址接入(Singer User Media Access Control,SU MAC)协议的传统无线局域网(Wireless Local Area Network,WLAN)已经无法满足用户的需求。针对这一问题,IEEE 802.11ax工作组将正交频分多址(Orthogonal Frequency Division Multiple Access,OFDMA)技术和上行多用户(Multi-User,MU)多输入多输出(Multiple Input Multiple Output,MIMO)技术引入到下一代WLAN MAC,实现了多用户并行接入和传输,从而大幅度提高MAC效率,满足广大用户的需求。最后,仿真结果表明,MU MAC协议的网络吞吐量在20MHz、80MHz和160MHz信道带宽时,分别是802.11ac协议的1.34倍、 2.05倍和2.73倍。
为了解决传统微博用户影响力评价算法全面性和客观性差的问题,通过对微博用户影响力的定义和影响因素进行分析,鉴于微博社区网络与web页面网络的拓扑结构有着天然相似性的特点,提出了一种基于PageRank的用户影响力评价改进算法(Self and Followers User Influence Rank)SF-UIR.运用用户追随者数、用户是否认证、用户微博的传播能力三个指标对用户自身影响因素进行了量化,改善了PageRank值对用户影响力评价客观性差的问题.采用权重因子将追随者对其所关注用户的影响力贡献值进行科学的量化分配,解决了追随者影响力等值传递的弊端.与四类主流算法的对比实验结果表明:SFUIR算法同时考虑了基于用户行为的自身影响因素和基于拓扑结构的追随者影响因素,能够有效地解决追随者数量排名算法中的"僵尸粉"干扰问题,能比平均转发数算法更真实地反映用户的影响力高低,能有效规避K-覆盖度算法中未考虑微博用户自身行为特征和将所有的追随者都一视同仁的严重缺陷,能极大地改进PageRank算法单纯依赖追随者数量和追随者质量的不足,从而能够更加全面、更加客观地反映微博用户的影响力.
The problem of robustness-supported user association and small cell station(SCS) switching ON/OFF strategies in 5G millimeter wave(mm-wave) networks is investigated, where the robustness of access links is ensured and the number of active SCSs is minimized for the reduction of the aggregation power consumption. Firstly, the problem is formulated as an integer programming(IP) problem. Then the problem is proved as a NP-hard problem by means of the simplification into the minimum dominant set(MDS), which is a NP-hard problem and is intractable to be solved in polynomial time. Secondly, a greedy-idea-based heuristic algorithm(GIHA) is proposed under the consideration of the complexity of the original optimization problem. Finally, superiorities of GIHA are demonstrated with the extensive simulations in 60 GHz mm-wave ultra-dense network in terms of access robustness and aggregate power consumption.
