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Research On Multi-point Cooperative Diversity Technologies Of Wireless Networking

Posted on:2010-10-27Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y H ChenFull Text:PDF
GTID:1118360302471086Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
Multi-user and the coupling of channel among multi-user is a complex system problem for the wireless networking. Reuse and interference always is the system optimal problem for the multi-node wireless networking, since the communication media is open, time variable and fading. Cooperative technologies have been taken as a new way to deal with cell dividing by 3G/B3G/4G standard group for decreasing the interference. Different from common interference suppressing technologies, cooperative diversity improves the capacity of the system by using the coupling of the multi-user channels other than decoupling the ones, which is similar to MIMO system, but they are different. In the thesis, we call the cooperative multi input multi output system as C-MIMOTo compare C-MIMO with MIMO, We map the MIMO system, the Gupta inference-limited networking model and the Jafar X networking in generalized MIMO. Since the SVD has no any hypothesis, taking no account of cooperative consumes among the cooperative nodes, C-MIMO form a generalized MIMO with i.n.d channel matrix and the instant capacity function of C-MIMO are similar to the traditional MIMO link. The conclusion is the base stone for C-MIMO to use the MIMO theorem. Research on feasible cooperative diversity model should base on C-MIMO system with limited cooperative cost and complexity. In the thesis, the C-MIMO is classified in two application scenarios by the obviously different cooperative cost: Cell-MIMO for the infrastructure networking, Relay-MIMO for the un-infrastructure networking. And we pick out different topic for the scenarios. Antenna selection for the Cell-MIMO, distributed coding and transmission for the Relay-MIMOIn cellular system, the neighboring base-station or distributed antennas have reliable and high rate fiber channel or radio fiber channel. The wireless cooperation is ideal for Cell-MIMO. Since the same instant capacity function with difference form of channel matrix compared with the MIMO, the fundamental of the antenna selection is the same. The i.i.d fading channel hypothesis for the MIMO, which base on the equal transmission power, is no longer fit for the mobile UE in a Cell-MIMO system. Based on analysis and simulation of the antenna selection with i.n.d channel and different cell shape, this thesis proposes a sub-optimal selection rule for the Cell-MIMO. This has been proved to be efficient by theorem and simulation analysis in the thesis.According to the conclusion drowned by Goldsmith et al , this thesis bound the point in the combining of distributed coding and HARQ, which based on the simply and efficient BLAST-STBC decoding mechanism. It is shown that the Relay-MIMO could balance the QoS between the source node and the relay node by a simply Relay-HARQ mechanism.The strategy could improve the throughput capacity of the source node, by low cost on the relay node set, with low complexity distributed coding especially when the SNR is low. The essential issue of networking field is reuse and interference. Whether convergence network or cooperative network, it could be foresight that multi-hop is an efficient low cost up-front technology. However, for some reason, the relationship among the important network parameter is illegible. Thus, by the credible reference, the thesis propose a decoupling channel mode by credible model in the references and then give a serial analytical function and numerical simulation figure on density of node, the relative density of node, based on the model, for different traffic model and networking model. This model could forecast the capacity of similar networking, or be as a model for the analytic simulation or half analytic simulation on the similar networking.
Keywords/Search Tags:Cooperative Diversity, Cell-MIMO, Relay-MIMO, Networking, Optimal
PDF Full Text Request
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