An analytical model for optimal spectrum leasing under constraints of quality of service in CRNs
An analytical model for optimal spectrum leasing under constraints of quality of service in CRNs
复制标题
CRN 服务质量约束下最优频谱租赁分析模型
DOI：
10.1016/j.comnet.2014.06.017
复制
发表时间：
2014
影响因子：
5.6
通讯作者：
Ping Zhu
中科院分区：
文献类型：
--
作者：
Guiyi Wei;Yang Xiang;Min Ji;Ping Zhu
认知无线电通过允许认知用户机会性地访问授权用户所拥有的空闲频谱块来提高频谱效率并缓解频谱稀缺。在长期频谱租赁市场中，二级网络运营商决定多少频谱是最佳的，以满足其用户的数据传输需求。我们研究这个优化问题在多个渠道的情况下。在满足期望用户接纳率和服务质量的约束下，将二级网络建模为一个动态数据传输系统。在该系统中，主用户和次用户的频谱接入分别服从随机过程。我们关心的服务质量的主要指标包括用户接纳率，平均传输延迟和延迟的稳定性。为了量化频谱供应和服务质量之间的关系，我们提出了一个近似的分析模型。我们使用该模型来估计最佳频谱量的上下界。边界之间的距离相对较窄。此外，我们设计了一个简单的算法来计算的最佳使用的界限。本文对时隙多信道动态频谱接入网络模型进行了数值仿真。仿真结果验证了该模型的正确性。我们的工作为认知无线电网络中基于游戏和拍卖的动态频谱共享机制的设计提供了启示。
Cognitive radio improves spectrum efficiency and mitigates spectrum scarcity by allowing cognitive users to opportunistically access idle chunks of the spectrum owned by licensed users. In long-term spectrum leasing markets, secondary network operators make a decision about how much spectrum is optimal to fulfill their users’ data transmission requirements. We study this optimization problem in multiple channel scenarios. Under the constrains of expected user admission rate and quality of service, we model the secondary network into a dynamic data transportation system. In this system, the spectrum accesses of both primary users and secondary users are in accordance with stochastic processes, respectively. The main metrics of quality of service we are concerned with include user admission rate, average transmission delay and stability of the delay. To quantify the relationship between spectrum provisioning and quality of service, we propose an approximate analytical model. We use the model to estimate the lower and upper bounds of the optimal amount of the spectrum. The distance between the bounds is relatively narrow. In addition, we design a simple algorithm to compute the optimum by using the bounds. We conduct numerical simulations on a slotted multiple channel dynamic spectrum access network model. Simulation results demonstrate the preciseness of the proposed model. Our work sheds light on the design of game and auction based dynamic spectrum sharing mechanisms in cognitive radio networks.