Distributed Transmission Framework against Quasi-Static Channel Impairments for Downlink Multi-Cell MIMO-OFDM with IA

Inhalt:
The practical MIMO IA performance is sensitive to channel impairments. The problem of robust transmission design against quasi-static channel impairments for downlink multi-cell MIMO OFDM with IA is investigated. The optimal transmission framework, which is robust to quasi-static channel impairments, is presented as the preliminary for implementing downlink multi-cell MIMO OFDM system with IA. We analyze and verify robust performance of the proposed distributed transmission framework with MIMO IA, via combination of time and frequency synchronization methods, Least-Squares based channel estimation and random vector quantization limited feedback method. By evaluation, we conclude that the proposed distributed transmission framework with MIMO IA is effective to combat the quasi-static channel impairments. This proposed distributed framework provisions the minimum infrastructural costs and signaling protocol complexity compared to the classical centralized framework, and can be further used in our IA prototype, which is implemented on USRP Software Defined Radio (SDR) platform with matlab.