Key Technologies Of Resource Allocation In Distributed Mimo-ofdm Systems

With the flourish of the mobile Internet, data services such as broad band multimedia services is becoming the dominant services, and the requirement of wireless access rate is growing larger and larger. However, the available frequency resource is becoming tenser and tenser. Transmitting technologies based on Multiple Input Multiple Output (MIMO) or Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM), which are preferred among the next generation wireless transmitting technologies, have largely promoted the link performance. Accordingly, resource allocation with high efficiency for MIMO and MIMO-OFDM systems becomes the hotspot in the wireless communication field nowadays.The dissertation has researched on the structures and key technologies of distributed MIMO and distributed MIMO-OFDM systems, and has selected resource allocation aimed at system capacity promotion as the main point. A series of researches on one-dimension resource allocation and resource co-allocation are carried out in centralized MIMO, centralized MIMO-OFDM, distributed MIMO and distributed MIMO-OFDM systems.1. An antenna selection algorithm based on port selection is proposed combined with characteristics of the distributed structure, which decreased the antenna search range via number-limited dynamic port selection and used iterative optimizing-parameter computation during the elimination process. Theoretical analysis and simulation show that the capacity performance of the proposed algorithm is close to that of the optimal algorithm while the computation complexity is much lower.2. The single-user antenna selection method based on elimination algorithm is extended to an iterative elimination-based antenna selection algorithm for the base station side of multi-user distributed MIMO systems. Theoretical analysis and simulation show that with the computation complexity largely reduced, the algorithm's capacity is still close to that of the theoretical one.3. Learning from the idea of resource co-allocation in centralized MIMO-OFDM systems, the thesis designs an antenna & sub-carrier allocation algorithm based on port parallel scheme for multi-user distributed MIMO-OFDM systems. Further, an antenna & sub-carrier allocation algorithm based on Nash Bargaining Solution is given with the introduced user fairness estimate principle. Simulation results show that the user fairness can be well promoted with satisfied users'minimum rate requirement.4. The multi-dimension resource co-allocation method in multi-user distributed MIMO-OFDM systems is discussed. Because of the high complexity of most resources allocation algorithms, an antenna & sub-channel allocation algorithm based on distributed optimization is proposed. Compared with the two-dimension resource allocation algorithm, it can attain better capacity performance with some cost in both computation complexity and feedback overhead.