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Priority-Oriented Spectrum Allocation for Cognitive Ad Hoc Networks

机译：认知临时网络的优先考虑的频谱分配

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—In this paper, we develop a spectrum allocation algorithm for hierarchical cognitive ad hoc networks based on the secondary user (SU) priority. The algorithm assures that the SUs with higher priority can get more spectrum bandwidths, and thus the revenue of the whole spectrum band can be maximized. The proposed algorithm is a twostage spectrum allocation scheme, in which the licensed spectrum allocation between the primary users (PUs) and SUs acting as CH (CH-SU) is implemented in the first stage, and in the second stage, the spectrum purchased from spectrum owner is traded between the CH-SUs and cluster member (CM)-SUs. Performance analysis shows that the convergence speed of the proposed algorithm can be improved by adjusting the value of learning factors. Meanwhile, it allocates different size of spectrum bandwidth for SUs according to the different priority levels, which reflect the rationality and difference in spectrum allocation. Also, the simulation results reveals if the number of priority level of CM-SUs is less than 4, our algorithm has the lower time overhead than other spectrum allocation algorithm without taking the SU’s priority level into consideration.
机译：- 本文基于辅助用户（SU）优先级，开发了一种用于分层认知临时网络的频谱分配算法。该算法确保具有更高优先级的SUS可以获得更多的频谱带宽，因此可以最大化整个频谱带的收入。所提出的算法是突略频谱分配方案，其中主要用户（PU）与AS作为CH（CH-SU）之间的许可频谱分配在第一阶段中实现，在第二阶段，从频谱所有者在CH-SUS和集群成员（CM）-SU之间交易。性能分析表明，通过调整学习因素的价值，可以提高所提出的算法的收敛速度。同时，根据不同的优先级，它分配了SUS的不同大小，这反映了频谱分配的合理性和差异。此外，仿真结果显示了CM-SUS的优先级数小于4，我们的算法具有比其他频谱分配算法的时间开销较低，而不考虑SU的优先级。

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