Cooperative Relaying D2D Direct Communications for Offloading of Big Data Cloud Services in 5G cellular Networks

• Main Authors: LIN, YU-HSIANG, 林郁翔
• Other Authors: CHANG, BEN-JYE
• Format: Others
• Language: en_US
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/fjeqz4

碩士 === 國立雲林科技大學 === 資訊工程系 === 106 === Recently, the cloud accesses of the real-time live video sharing for mobile UEs (of a cloud society) via LTE/LTE-A cellular networks are extensively demanded. Such applications suffer from insufficient system capacity, because an eNB needs to allocate the limited radio resource blocks (RBs) to each UE that successfully contends the random channel access. The performance significantly degrades, especially for the UEs on a transportation, e.g., train, bus, vehicle, etc. 5G LTE-A Pro thus specifies a new offloading mechanism of the Device-to-Device (D2D) communication between UEs by using the frequency spectrum of the reserved RBs for D2D. However, some critical issues exhibit in 5G LTE-A Pro that should be completely addressed, including 1) how to dynamically form a D2D cluster, 2) how to efficiently choose the optimal Seed UE of the cluster, 3) how to trade-off between 2 important factors: the RB utilization and the D2D communication delay, 4) how to maximize the D2D offloading efficiency and 5) how to optimize the cooperative communication mode selection. This work thus proposes an Adaptive D2D-based Cooperative Communication (ADCC) to overcome these issues. ADCC consists of three phases: 1) Adaptive Seed UE selection for Clustering members (ASC), 2) Dynamic D2D Offloading Efficiency determination (DOE), and 3) Optimal Cooperative Communication mode selection (OCC). Numerical results show that the proposed ADC outperforms the compared approaches in system capacity, D2D offloading efficiency, RB utilization, goodput, packet delay, system carrying cost and net-profit.