Free space optical (FSU) networks are emerging as a viable, cast eflective technology for rapidly deployable broadband communication injkastmcture. The main drawback $this @pe of networks i s their dynamic pei$ormance, especial& under adverse weather conditions and high nodes mobiliq. Topology control is used as the means to achieve survivable optical wireless networking under hostile conditions. based on crJvnamic and auionomous topology reconfiguration. The topology control process involves tracking and acquisition of nodes, assessment of Iink-state information, collection and distribution of topology data, and the algorithmic solution of an optimal topology. Design, analysis and comparison of algorithms and heuristics f i r configuring optimized topologies in dynamic environments are presented. Heuristics were developed for ring neiworh (2 optical transceiverspar node) as well as for 3-degree networks (3 optical transceivers per node). This paper focuses on the design of eflcient and scalable algorithms for physical layer topology optimization. That is, algorithms to select the topology configuration which optimizes a given physical layer objective. Performance and scalabiliv results are shown for the various heurisfics used in dgerent scenarios andfor dflerent network sizes.
AbsIract-An extended form of multi-hop communication systems has been introduced recently which allows the application of multiple-input-multiple-output (MIMO) capacity enhancement techniques over spatially separated relaying mobile terminals. It was further shown that such deployment yields significant capacity gains over direct communication or traditional singleinput-single-output (SISO) relaying networks. The contribution of this paper is the derivation of the end-to-end hit-error rates (BER) for space-time block encoded M-PSK and M-QAM, assuming full and partial cooperation at each relaying stage. The theoretical analysis is corroborated by simulation results.
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