於上行多點協調式系統中基於編碼簿之高效率干擾校齊

Abstract

在行動蜂巢式通訊系統中，採用干擾校齊技術(interference alignment; IA)於上行多點協調式(coordinated multipoint; CoMP)系統可有效的提升系統效能。在本論文中，吾人提出基於編碼簿且使用最大訊號干擾雜訊比(max signal to interference and noise ratio; Max-SINR)演算法之高效率干擾校齊，並應用於接收端全合作之上行多點協調式系統。相對於傳統干擾校齊，基於編碼簿之干擾校齊只需要使用較少的資料回饋量即可顯著增進系統容量。為了在基於編碼簿之干擾校齊中避免窮舉式預編碼搜尋，吾人提出高效率之K-Best 預編碼搜尋方法。為了進一步提升基於編碼簿之干擾校齊的效能，吾人提出階層式相位擴展法擴充現有的編碼簿。經由模擬結果的驗證，吾人提出之基於編碼簿之高效率干擾校齊可有效的提升傳統CoMP 系統效能。

Adopting the interference alignment (IA) technique in uplink coordinated multipoint (CoMP) can improve the performance in mobile cellular systems. In this thesis, an efficient codebook-based Max-SINR IA aided uplink CoMP scheme with full cooperation at the receiver is proposed. Compared to conventional IA, codebook-based IA requires less feedback information and maintains the same significant improvement in system capacity. To avoid the exhaustive precoder search in codebook-based IA, the K-Best selection algorithm is adopted to efficiently perform precoder selection. To further improve the performance of codebook-based IA, we propose a layer-wise phase extension method for extending the existing codebook. Simulation results demonstrate that the proposed codebook-based IA and K-Best precoder selection algorithm can achieve a significant sum-rate performance gain over conventional CoMP.