Antenna Selection In Future Wireless Communication Systems

The thesis focuses on the technology of antenna selection, which drawn considerable attention in recent years as a means for getting MIMO system gain with low complexity and low cost.The thesis studies the effect of the feedback error on the system of combined orthogonal space timing block code with transmit antenna selection (OSTBC-TAS). An asymptotic method is presented to deduce the symbol error probability (SEP) of OSTBC-TAS with feedback error. This method can be applicable for arbitrary TAS with orthogonal space time block code (OSTBC) scheme. It is verified by simulation that the asymptotic SEP presented in this paper matches the theoretical SEP very well at high SNRThe capacity of the system combined Multi-user diversity and Receive Antenna Selection (MUD-RAS) is analyzed. Firstly, we obtain the equivalent-single-user capacity bound of the MUD-RAS system by means of the equivalent-single-user analysis. And the shortcoming of the equivalent-single-user analysis is also studied, that the equivalent-single-user capacity bound will have a big deviation from the capacity of MUD-RAS as the number of users is increasing. Secondly, a second upper capacity bound, the multi-user max-antenna-norm capacity bound, is presented in this thesis. At the end, it is concluded by simulation that, when the system with more users, the multi-user max-antenna-norm capacity bound is closer to the capacity of MUD-RAS than the equivalent-single-user is and vice versa.A link adaptive algorithm based on the zero-forcing decision feedback detector (ZF-DFD) is presented for the system of space multiplex. The algorithm can reach the performance of the link adaptive algorithm based on zero-forcing successive interference cancellation (ZF-SIC) with low receiver complexity. An improved MMSE-DFD-like algorithm is also presented to overcome the shortcoming of zeroforcing scheme. It can be showed the MMSE-DFD-like algorithm can greatly improve the system performance. Two simplified link adaptive algorithm based on ZF-DFD, with different power allocation scheme are also studied in the thesis. The comparison between the two simplified algorithms is also presented in the thesis.