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首页> 外文期刊>IEEE Transactions on Cognitive Communications and Networking >Semi-Cognitive Radio Networks: A Novel Dynamic Spectrum Sharing Mechanism
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Semi-Cognitive Radio Networks: A Novel Dynamic Spectrum Sharing Mechanism

机译：半认知无线电网络：一种新颖的动态频谱共享机制

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摘要

In conventional cognitive radio networks, channels that are in use by opportunistic secondary users (SUs) can be recaptured by the network’s licensed primary users (PUs) at will, thus interrupting the connectivity of the former. To compensate for this, we propose here a semi-cogntive radio network (SCRN) paradigm where PUs are constrained to first use all free channels in the network before being allowed to capture channels that are currently in use by SUs. By imposing a monetary (or other) penalty to the network’s secondary spectrum owners when opportunistic channel use becomes excessive, this additional constraint only induces a slight drop in the PUs’ performance while offering significant benefits to the network’s SUs. In this paper, we provide a game-theoretic analysis of such systems and we derive both centralized and decentralized adaptive algorithms that allow the system control process to converge to a stable equilibrium state. Our numerical results show that, with the same channel efficiency, SCRNs provide increased profits to the primary network and significantly reduced interruption rates to the secondary network.
机译：在传统的认知无线电网络中，机会性次要用户（SU）所使用的信道可以被网络的许可主要用户（PU）随意夺回，从而中断了前者的连接。为了对此进行补偿，我们在这里提出了一种半认知无线电网络（SCRN）范式，其中PU被限制为首先使用网络中的所有空闲信道，然后才允许捕获SU当前正在使用的信道。通过在机会性信道使用过多时对网络的二级频谱所有者施加金钱（或其他）惩罚，这种额外的限制只会使PU的性能略有下降，同时为网络的SU提供显着的好处。在本文中，我们对此类系统进行了博弈论分析，得出了集中式和分散式自适应算法，这些算法可使系统控制过程收敛到稳定的平衡状态。我们的数值结果表明，在相同的信道效率的情况下，SCRN为主要网络提供了增加的利润，并大大降低了辅助网络的中断率。

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