Optimization of fronthaul compression based on the difference of convex programming algorithm

• Main Authors: Cheng-I Yeh, 葉政誼
• Other Authors: Shih-Chun Lin
• Format: Others
• Language: en_US
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/96251734678634558303

碩士 === 國立臺灣科技大學 === 電子工程系 === 104 === In this thesis, we want to optimize the sum rate of the uplink cloud radio access network (C-RAN). In traditional RAN, base stations will decode users’ messages. Corresponding to traditional base stations, the radio remote units (RRUs) in C-RAN will forward their received signals and let the baseband unit (BBU) in the cloud to be the joint decoding. Due to finite bandwidth of the fronthaul, the RRUs need to compress their received signals. Our sum rate optimization over fronthaul compression is not convex. Thus we apply the first-order approximation to invoke the difference of convex algorithms for solving it. Simulation results show that our work improve the performance of previous works.