Throughput analysis for opportunistic spectrum access among unlicensed devices

P. Kaur, M. Uddin, A. Khosla
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引用次数: 5

Abstract

Low spectrum utilization and lack of spectrum for new wireless services led to think of unlicensed devices that may operate on spectrum holes as and when required with a constraint of preserving the rights of licensed users. Cognitive radios have been proposed as one of such promising solutions for increasing spectrum utilization and in turn helping to resolve spectrum scarcity problem. As the spectrum availability will differ in both time and space for such scenarios, dynamic spectrum allocation is considered as key enabling technique for the success of cognitive radios. This paper assumes a centralised architecture where the central controller maintains the record of all vacant spectrums and decides the spectrum to be allocated to particular users based on spectrum overlay strategy. We model the functionalities of media access based on distributed semi Markovian network of queues where the first queue is equivalent of sorting overlapped detections received from all SU in the network, updating its database, contention and conflict management. We call this queue as spectrum analysis queue. The requests once sorted will be considered for channel allocation which is modeled as channel allocation queue. This paper presents throughput analysis of unlicensed users for opportunistic spectrum access based bandwidth allocation where the paper first presents the formulation of access latency which is then used for evaluating the throughput of unlicensed users.
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非授权设备间机会频谱接入的吞吐量分析
频谱利用率低和缺乏用于新无线服务的频谱导致人们想到未经许可的设备,这些设备可能在需要时在频谱漏洞上运行,同时受到保留许可用户权利的限制。认知无线电被认为是提高频谱利用率和解决频谱稀缺问题的一种有前途的解决方案。由于在这种情况下频谱的可用性在时间和空间上都存在差异,因此动态频谱分配被认为是认知无线电成功的关键使能技术。本文假设了一个集中式架构,其中中央控制器维护所有空闲频谱的记录,并根据频谱覆盖策略决定分配给特定用户的频谱。我们基于分布式半马尔可夫队列网络对媒体访问的功能进行建模,其中第一个队列相当于对从网络中所有SU接收的重叠检测进行排序,更新其数据库,争用和冲突管理。我们把这个队列称为频谱分析队列。排序后的请求将被考虑进行通道分配,通道分配被建模为通道分配队列。本文介绍了基于机会频谱接入的带宽分配的非许可用户的吞吐量分析,其中本文首先提出了访问延迟的公式,然后用于评估非许可用户的吞吐量。
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