Cache-Enabled Millimeter Wave Cellular Networks With Clusters
Cache-Enabled Millimeter Wave Cellular Networks With Clusters
复制标题
具有集群的支持缓存的毫米波蜂窝网络
DOI：
10.1109/tcomm.2020.3022896
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发表时间：
2020-09
影响因子：
8.3
通讯作者：
Mikael Skoglund
中科院分区：
文献类型：
--
作者：
Yu Ye;Shaocheng Huang;Ming Xiao;Zheng Ma;Mikael Skoglund
蜂窝网络中的无线内容缓存是降低业务时延、缓解回程压力的有效方法。由于共享频谱和存储资源的好处，缓存网络中的集群最近引起了人们极大的研究兴趣。同时，由于缓存网络的多媒体内容(例如，视频)可能需要巨大的传输速率，毫米波(毫米波)通信被认为是用于启用缓存的网络的有效传输方案。研究了支持缓存的小蜂窝分簇网络(SCN)和具有毫米波信道的超密集网络(UDN)中典型用户终端(UT)的遍历速率和平均服务时延。在SCN中，每个簇由支持缓存的UT组成，在UDN中，由支持缓存的UT和具有非均匀缓存能力的小型基站(SBSS)组成一个簇。假设集群是光盘，并且只能通过毫米波设备到设备(D2D)层和SBS层通信在集群内共享内容。利用随机几何方法，给出了典型UT在SCN和UDN两种场景下的内容共享距离和信干噪比的分布。为了最小化高信噪比区域的平均服务时延，我们提出了一种联合优化SBSS和UTS缓存方案的算法。通过仿真验证了理论分析和所提出的缓存方案的性能。数值结果还表明，在UDN的簇设计中存在最佳半径。
Wireless content caching in cellular networks is an efficient way to reduce the service delay and alleviate backhaul pressure. For the benefits of sharing spectral and storage resources, clustering in cached networks has recently attracted significant research interests. Meanwhile, since the multimedia content (e.g., video) of caching networks may require a huge transmission rates, millimeter wave (mmWave) communication is considered to be an efficient transmission scheme for cache-enabled networks. We investigate the ergodic rate and average service delay for typical user terminal (UT) in the clustered cache-enabled small cell networks (SCN) and ultra dense networks (UDN) with mmWave channels. In SCN, each cluster consists of cache-enabled UTs, and in the UDN a cluster is formed by cache-enabled UTs and small base stations (SBSs) with non-uniform caching capacity. The clusters are assumed to be discs and content sharing is only possible within clusters through mmWave device-to-device (D2D) tier and SBS tier communications. With stochastic geometry methods, the distributions of content sharing distance and signal-to-interference-noise-ratio (SINR) of typical UT in a cluster are derived for both SCN and UDN scenarios. To minimize the average service delay in high SINR region, we provide an algorithm to jointly optimize caching scheme for SBSs and UTs. By simulations, we validate our theoretical analysis and the performance of proposed caching scheme. The numerical results also show that there exists best radius in the design of cluster for UDNs.
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影响因子：
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