Fingerprint Assisted Resource Allocation for Device-to-Device Communication Underlaying Cellular Networks

碩士 === 國立中正大學 === 通訊工程研究所 === 102 === Device-to-Device (D2D) communication is a brand-new fashion that allows mobile station communicating directly with each other using existing licensed band in cellular networks. D2D communication is considered as the technology to more efficiently utilize the lic...

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Bibliographic Details
Main Authors: Mao-Yang Sang, 桑茂洋
Other Authors: Jen-Yi Pan
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/e7xhak
Description
Summary:碩士 === 國立中正大學 === 通訊工程研究所 === 102 === Device-to-Device (D2D) communication is a brand-new fashion that allows mobile station communicating directly with each other using existing licensed band in cellular networks. D2D communication is considered as the technology to more efficiently utilize the licensed band for the next evolution in mobile communication networks. Most licensed band allocation methods were based on the assumption of eNodeB knowing measured channel gain of every links between all mobile stations. However, the measurement would be a huge expense when there were many mobile stations in a cell. Aiming the obstacle, this thesis proposes a fingerprint technique for eNodeB to estimate the degree of interference between mobile stations without measuring every channel gain, and therefore to determine which radio resource block can be reused. This fingerprint technique can significantly reduce the number of channel gain measurement between mobile stations. Moreover, by simulating D2D communication in LTE network, this study shows that fingerprint assisted resource allocation does not only more effectively raise system sum rate than random allocation do, but also performs closer to a sub-optimal solution derived by a costly greedy algorithm that depends on the knowledge of every channel gain.