Hybrid Precoding Design for Carrier Aggregation in Massive MIMO System

• Main Authors: Wang, Yi-Chih, 王怡智
• Other Authors: Lin, Chun-Ting
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/65mr2a

碩士 === 國立交通大學 === 影像與生醫光電研究所 === 107 === According to the explosive growth of popularity of smart mobile devices. This trend has given rise to the great increase in multimedia data being transported across telecom networks. The demand of wireless throughput rapidly increases to support massive numbers of smart phones and mobile devices. One of the main goals of 5G is always enough capacity available for whatever data transfer is required. Hence, increasing the useable spectrum and spectral efficiency has become one of the important research trends in future 5G access. Meanwhile, to achieve those goals, others researches include massive multi-input multi-output (MIMO), beamforming, carrier aggregation, millimeter wave (mm-wave). However, there is no study or research doing system technologies investigation. To understand the whole 5G system, the main aim of this research is to investigate those technologies above then support a high-traffic-speed system to multiple users at the same time. Meanwhile, fragmented spectrum can be more efficiently utilized. The major challenges in the investigated system are supporting multiple users within multiple bandwidths simultaneously and abandoning extra hardware (i.e. RF chains, phase shifters, antennas). In this research, we propose a new precoding algorithm to satisfy the carrier-aggregated massive MIMO system at mm-wave band for multiple user application because current algorithm is only designed for single-band application. In addition, we propose an algorithm enable to reduce the penalty caused by frequency dependency of phase shifter, and verify our proposed algorithm by simulation. Besides, we also analyze the penalty caused by spatial correlation when different carriers share the same antenna array. The influence of number of RF chain, number of user will also be analyzed.