Fairness and Dynamic Resource Allocation for Device-to-Device Communications

碩士 === 國立中正大學 === 通訊工程研究所 === 103 === Recently, mobile devices grow at an unprecedented rate. Diversification of vehicle and application services let users do everything with mobile devices. However, data and control signals congested core network. Device-to-Device (D2D) communication can directly t...

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Bibliographic Details
Main Authors: Ko-Wei Chang, 張格瑋
Other Authors: Jen-Yi Pan
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/x9528r
Description
Summary:碩士 === 國立中正大學 === 通訊工程研究所 === 103 === Recently, mobile devices grow at an unprecedented rate. Diversification of vehicle and application services let users do everything with mobile devices. However, data and control signals congested core network. Device-to-Device (D2D) communication can directly transfer data between mobile devices, and thereby offload traffic from base stations. Therefore, D2D communication has gained much attention. However, unlike cellular users whose communication channels are exclusively allocated by base stations, D2D users reuse the same radio resource and may conflict with each other. D2D users have to carefully consider channel quality and interference impacting other users on their own. In addition, when D2D pairs transfer files, base stations should dynamically allocate cellular users’ resources to D2D pairs according to time-varying interference. This paper proposes Dynamic Resource Allocation Algorithms which are based on different resource allocation methods for D2D communication in order to provide the D2D users extension to existing cellular systems and solve unfairness problem. Dynamic Resource Allocation Algorithms not only allocate resources according to each transmission requirements and time-varying interference, but also properly set transmission power without degrading cellular uplink performance. In this study, we use FTP Traffic Model 1 to simulate D2D pairs’ traffic, and D2D pairs reuse spectrum with other D2D pairs. Finally, we assess proposed resource allocation algorithms and compare their performance such as fairness, spatial reuse ratio, and average system time. The simulation results show that Max-F algorithm to deal this complex problem with a simple algorithm to achieve the fairness.