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Network architecture model of infrastructure based mobile cognitive radio system in licensed band with blocking probability assessment

机译:具有阻塞概率评估的许可频段中基于基础设施的移动认知无线电系统的网络架构模型

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Performance of Cognitive Radio (CR) is affected by the estimation of availability of vacant channels based on traffic distribution observation of licensed users. Telecom traffic prediction at a particular instant depends on thorough knowledge of day of the week, hour of the day and instant of the hour. Distributed cooperative spectrum sensing is infrastructure based in which the sensor nodes themselves takes several iteration to arrive at decision about vacant channels where CR nodes have no previous knowledge about each channel behaviour. The proposed network is also architecture based but channel availability decision is taken by a separate control unit called Cognitive Radio-Base Station Controller (CR-BSC). In this architecture, SU functions as probe for occupied primary and secondary channels available in the environment and transmit to Cognitive Radio-Base Station (CR-BS) for periodic updation of channel status database. Frequency of probing and transmission to CR-BS consumes good quantum of energy of SU and needs to be scheduled properly for optimum SU battery life. On placement of SU call, minutewise prediction is done for next few minutes for available set of channels and its blocking probability when both secondary user traffic together with primary user traffic are present in the system. The results obtained have been validated through live mobile data of primary user network.
机译:认知无线电(CR)的性能受基于许可用户的流量分布观察的空闲信道可用性估计的影响。特定瞬间的电信流量预测取决于周日,一天中的小时和小时中的周全知识。分布式协作频谱感测是基于基础结构的,其中传感器节点本身需要进行多次迭代才能得出有关空闲信道的决策,其中CR节点没有关于每个信道行为的先前知识。所提出的网络也是基于体系结构的,但是信道可用性决定由称为认知无线电基站控制器(CR-BSC)的单独控制单元做出。在这种体系结构中,SU用作环境中可用的主要和次要信道的探针,并传输到认知无线电基站(CR-BS)进行信道状态数据库的定期更新。探测和传输到CR-BS的频率会消耗SU的大量能量,并且需要进行适当的调度才能获得最佳的SU电池寿命。在放置SU呼叫时,如果系统中同时存在次要用户流量和主要用户流量,则会在接下来的几分钟内对可用信道集及其阻塞概率进行逐分钟预测。通过主要用户网络的实时移动数据验证了获得的结果。

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