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无线P2P网络的资源定位机制与中继协作策略研究
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摘要
随着无线通信技术的不断发展,人们对通信业务的要求越来越高,传统客户端/服务器通信模式的单点瓶颈问题日益暴露,移动用户之间以分布式结构进行资源共享成为未来无线通信发展的必然趋势。因此,在无线环境下如何有效地建立P2P分布式网络成为无线通信领域的研究热点,而目标资源的有效定位与快速传输是无线P2P网络的关键问题。于是,本文对无线P2P网络的资源定位机制与中继协作策略展开研究,并提出相应的解决方案。主要工作包括以下几个方面:
     (1)为了减小资源定位过程中的带宽消耗,研究结构化P2P网络模型的资源定位机制,提出一种动态拓扑感知性无线P2P网络的构建策略。入网节点通过分析其局部拓扑结构,从最优邻居节点获得与其物理位置有关的节点标号,从而实现无线P2P网络的瞬时拓扑相关;由中心节点收集拓扑结构的变化信息,将逻辑网络的拓扑相关转化为旅行商问题,并用模拟退火算法完成其优化求解,实现网络的动态拓扑相关;同时,针对中心节点的随时离开或死亡,提出一种成员节点与中心节点之间的信息交互方案,使网络能够分布式地选出处理功能强、业务量少的成员作为新的中心节点。
     (2)基于布鲁姆滤波器,提出一种使无线P2P网络支持语义的资源定位方法。节点通过对本地资源属性的统计,获得自身的兴趣特性,节点之间根据兴趣相似度形成小世界模型,从而形成一种支持语义的双层资源定位模型。在对目标资源进行定位时,根据目标资源与本地节点兴趣之间的相似关系,合理选择非结构化或结构化P2P语义层进行定位,既提高资源的定位效率,也更广泛地支持资源的语义定位。
     (3)针对无线单中继协作方式,分别对两跳放大转发和协作分集系统的中继选择与功率分配进行研究,提出一种最佳中继选择和最优功率分配方法。将中继的最优功率分配与最佳选择相结合,在发射总功率一定的条件下,得出源节点最优功率分配比例的闭合表达式;同时,以最优功率分配下的信噪比为准则,基于机会中继的产生原理,实现最佳中继的分布式选择。
     (4)在中继能够实现完全同步的情况下,对多中继单信道放大转发系统进行研究,提出一种功率分配策略,使系统的信噪比随着中继节点的增多而单调增大。仿效正交多信道协作分集系统的信号最大比合并策略,将每个中继单独进行放大转发时可获得的最大信噪比作为对应中继的功率放大系数,从而使系统的信噪比随中继数的增加单调递增。
With the continuous development of wireless communication, demand on communication service is becoming higher and higher. The problem of single-point bottleneck in traditional client/service communication model is exposed increasingly, and sharing resource among mobile users through P2P mode becomes the inevitable trend of development in wireless communication system. Consequently, in wireless scenario, how to construct distributed P2P networks effectively is the research focus in wireless communication field, and objective resource location and rapid transmission are the key technologies in it. In this paper, resource location mechanisms and relay cooperative methods are considered, and some correspond solutions are proposed. The main works are as follows:
     (1)In order to reduce bandwith comsuption during resource location, the mechnisms of resource location in structured P2P model are considered, and a dynamic topology-aware wireless P2P protocol is proposed. The node, wanting to enter the existing system, gets node identify which is connected with its physical position from the best node after analyzing its local topology, and instatanous topology-aware wireless P2P network is realized. A central node collects the topology changing information, and topology awareness is transformed to Traveling Salesman Problem. The optimization solution is got through Simulated Annealing method, and the dynamic topology awareness is realized finally. For the random left or death of the central node, a protocol on how to exchange information between member node and central node is presented, based on which the member with most powerful ability and least service is chosen as the new central node in distributed mode.
     (2) Based on Bloom Filter, a method supporting semantic location in wireless P2P network is proposed. According to the statistical properties of local resources, member nodes extract their interests respectively, and a small-world model is constructed based on their common interests, and a double-layer semantic search model is constructed. When some objective resource is being located, its similarity to local resource interest is used to determine that it should be located in unstructured P2P semantic layer or structured semantic layer adaptively, which not only improves search efficiency, but also supports semantic location more widely.
     (3) For relay cooperative in wireless networks, relay selection and power allocation in two-hop amplify-and-forward system and cooperative dirversity system are considered repectively, and a scheme of optimal power allocation and best relay selection is presented. Optimal power allocation and best relay selection are combined, when total power is constant, the closed form of optimal power proportion at the source node is got. Meanwhile, the signal-to-noise under optimal power allocation is taken as criterion to determine which relay is the best one, and it is chosen out in pure distributed mode based on opportunistic relay theory.
     (4) Under the condition that all relays can work synchronously, for multiple-relay single-channel amplify-and-forward system, a power allocation scheme is proposed to make signal-to-noise increases with the number of relay monotonously. Mimicking the theory of Maximal Ratio Combination in orthogonal multi-channel diversity collaboration system, the maximal achievable signal-to-noise can be got in independent relay channel acts as power amplification factor for the corresponding relay when it transmits signal, and it is realized that signal-to-noise is increasing with the amount of relay monotonously.
引文
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