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Effective capacity in cognitive radio broadcast channels

机译：认知无线电广播频道的有效容量

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In this paper, we investigate effective capacity by modeling a cognitive radio broadcast channel with one secondary transmitter (ST) and two secondary receivers (SRs) under quality-of-service constraints and interference power limitations. We initially describe three different cooperative channel sensing strategies with different hard-decision combining algorithms at the ST, namely OR, Majority, and AND rules. Since the channel sensing occurs with possible errors, we consider a combined interference power constraint by which the transmission power of the secondary users (SUs) is bounded when the channel is sensed as both busy and idle. Furthermore, regarding the channel sensing decision and its correctness, there exist possibly four different transmission scenarios. We provide the instantaneous ergodic capacities of the channel between the ST and each SR in all of these scenarios. Granting that transmission outage arises when the instantaneous transmission rate is greater than the instantaneous ergodic capacity, we establish two different transmission rate policies for the SUs when the channel is sensed as idle. One of these policies features a greedy approach disregarding a possible transmission outage, and the other favors a precautious manner to prevent this outage. Subsequently, we determine the effective capacity region of this channel model, and we attain the power allocation policies that maximize this region. Finally, we present the numerical results. We first show the superiority of Majority rule when the channel sensing results are good. Then, we illustrate that a greedy transmission rate approach is more beneficial for the SUs under strict interference power constraints, whereas sending with lower rates will be more advantageous under loose interference constraints. Finally, we note that the methodology and the approach we consider in this study can be easily applied into a more general cognitive radio broadcast channel model with more than two SRs.
机译：在本文中，我们通过在服务质量限制和干扰功率限制下用一个辅助发射机（ST）和两个辅助接收机（SR）对认知无线电广播信道进行建模来研究有效容量。我们最初在ST描述了三种具有不同硬决策组合算法的不同协作信道感知策略，即OR，多数和AND规则。由于信道感测可能会出现错误，因此我们考虑了组合干扰功率约束，当信道被感知为忙碌和空闲时，将限制次要用户（SU）的传输功率。此外，关于信道感测决策及其正确性，可能存在四种不同的传输场景。在所有这些情况下，我们都提供ST和每个SR之间通道的瞬时遍历容量。考虑到当瞬时传输速率大于瞬时遍历容量时会发生传输中断，因此当信道被感知为空闲时，我们为SU建立了两种不同的传输速率策略。这些策略之一采用贪婪的方法，不考虑可能发生的传输中断，而另一种策略则倾向于采取谨慎的方式来防止这种传输中断。随后，我们确定此信道模型的有效容量区域，并获得使该区域最大化的功率分配策略。最后，我们给出了数值结果。当信道感知结果良好时，我们首先展示了多数规则的优越性。然后，我们说明了在严格的干扰功率约束下，贪婪的传输速率方法对SU更为有利，而在宽松的干扰约束下，以较低的速率发送将更为有利。最后，我们注意到，我们在本研究中考虑的方法和方法可以轻松地应用于具有两个以上SR的更通用的认知无线电广播信道模型。

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