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首页> 外文期刊>IEEE systems journal >Demand-Based Spectrum Trading for Opportunistic Secondary Networks With Probabilistic Channel Access Mechanism
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Demand-Based Spectrum Trading for Opportunistic Secondary Networks With Probabilistic Channel Access Mechanism

机译：具有概率信道访问机制的机会二次网络基于需求的频谱交易

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摘要

In this paper, we consider the spectrum trading problem in dynamic spectrum access networks. The trading process takes place between one opportunistic secondary network, which tries to satisfy its Secondary Users (SUs) throughput demand, and multiple Primary Users (PUs). The secondary network coordinator distributes the SUs over the PU's channels and assigns a certain access time for every SU to satisfy its demand for the lowest cost paid to the PUs. We propose a secondary probabilistic access mechanism to control the SUs access to the free spectrum. In this mechanism, the coordinator controls the channel access probability of each SU and thus the amount of time shares it receives. To calculate the required access probabilities, we propose a novel probabilistic channel model that captures the interaction between the SUs and the PU using discrete-time Markov chain. We model the spectrum trading under the proposed access mechanisms as optimization problems. The results show the superiority of using variable access probability channel access mechanism over the equal access mechanism in terms of cost and throughput.
机译：在本文中，我们考虑了动态频谱接入网络中的频谱交易问题。交易过程在一个试图满足其辅助用户（SU）吞吐量需求的机会性辅助网络与多个主要用户（PU）之间进行。辅助网络协调器在PU的信道上分配SU，并为每个SU分配一定的访问时间，以满足其对PU支付的最低成本的需求。我们提出了一种二级概率访问机制，以控制SU对自由频谱的访问。在这种机制中，协调器控制每个SU的信道访问概率，从而控制它接收的时间份额。为了计算所需的访问概率，我们提出了一种新颖的概率信道模型，该模型使用离散时间马尔可夫链捕获了SU和PU之间的交互。我们在建议的访问机制下将频谱交易建模为优化问题。结果表明，就成本和吞吐量而言，使用可变访问概率信道访问机制优于平等访问机制。

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