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用于设备到设备缓存网络的两阶段干扰消除

Two-Stage Interference Cancellation for Device-to-Device Caching Networks.

作者信息

Jeon Sang-Woon, Chae Sung Ho

机构信息

Department of Military Information Engineering, Hanyang University, Ansan 15588, Korea.

Department of Electronic Engineering, Kwangwoon University, Seoul 01897, Korea.

出版信息

Sensors (Basel). 2020 Jan 31;20(3):780. doi: 10.3390/s20030780.

Abstract

Wireless device-to-device (D2D) caching networks are studied, in which nodes are distributed uniformly at random over the network area. Each node caches files from the library of size m ≥ M and independently requires a file from the library. Each request will be served by cooperative D2D transmission from other nodes having the requested file in their cache memories. In many practical sensor or Internet of things (IoT) networks, there may exist simple sensor or IoT devices that are not able to perform real-time rate and power control based on the reported channel quality information (CQI). Hence, it is assumed that each node transmits a file with a fixed rate and power so that an outage is inevitable. To improve the outage-based throughput, a cache-enabled interference cancellation (IC) technique is proposed for cooperative D2D file delivery which first performs IC, utilizing cached files at each node as side information, and then performs successive IC of strongly interfering files. Numerical simulations demonstrate that the proposed scheme significantly improves the overall throughput and, furthermore, such gain is universally achievable for various caching placement strategies such as random caching and probabilistic caching.

摘要

研究了无线设备到设备(D2D)缓存网络,其中节点在网络区域内随机均匀分布。每个节点从大小为m≥M的文件库中缓存文件,并独立地从文件库中请求一个文件。每个请求将通过协作D2D传输由其他在其缓存存储器中具有所请求文件的节点来服务。在许多实际的传感器或物联网(IoT)网络中,可能存在无法基于报告的信道质量信息(CQI)执行实时速率和功率控制的简单传感器或IoT设备。因此,假设每个节点以固定速率和功率传输文件,从而中断是不可避免的。为了提高基于中断的吞吐量,提出了一种用于协作D2D文件传输的启用缓存的干扰消除(IC)技术,该技术首先执行IC,将每个节点处的缓存文件用作边信息,然后对强干扰文件执行连续IC。数值模拟表明,所提出的方案显著提高了整体吞吐量,此外,对于各种缓存放置策略,如随机缓存和概率缓存,这种增益是普遍可实现的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8eb/7038492/223ed89ce35c/sensors-20-00780-g001.jpg

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