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Ergodic capacity for fading channels in cognitive radio networks

机译：认知无线电网络中衰落信道的遍历容量

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In this paper, we consider a Cognitive Radio (CR) system where two type of users try to access to the primary spectrum : a primary user (PU) owning the spectrum license and a secondary user (SU) who does not own the spectrum license. However, the secondary communication is allowed to coexist with the primary communication as long as the interference caused by SU to PU is below a tolerable threshold. We study the optimization problem which maximizes the SU's achievable ergodic capacity under different types of power constraints and for different fading channel models. Our goal is to calculate the optimal power allocation strategies for these optimization problems. We show that modelling with Rayleigh fading for the channel between SU transmitter and PU receiver is an advantageous way to ameliorate the SU ergodic capacity. Furthermore, we consider four combinations of power constraints, since the interference power constraint and the transmit power constraint can be restricted by a peak or an average threshold. We also show that the SU ergodic capacity under average transmit power constraint and average interference power constraint outperforms the one with peak power constraints. In this case, we propose a novel decoupling method. Our method reduces the complexity of the initial problem and makes our initial problem easier to solve.
机译：在本文中，我们考虑一种认知无线电（CR）系统，其中两种类型的用户尝试访问主频谱：拥有频谱许可证的主要用户（PU）和不拥有频谱许可证的次要用户（SU） 。然而，只要由SU对PU造成的干扰低于可容忍的阈值，就允许次要通信与主要通信共存。我们研究了在不同类型的功率约束下以及在不同衰落信道模型下最大化SU的遍历容量的优化问题。我们的目标是为这些优化问题计算最佳功率分配策略。我们表明，使用SU发射器和PU接收器之间的信道进行瑞利衰落建模是改善SU遍历容量的一种有利方法。此外，我们考虑功率约束的四种组合，因为干扰功率约束和发射功率约束可以受到峰值或平均阈值的限制。我们还表明，在平均发射功率约束和平均干扰功率约束下，SU遍历能力优于具有峰值功率约束的SU遍历能力。在这种情况下，我们提出了一种新颖的去耦方法。我们的方法降低了初始问题的复杂性，并使我们的初始问题更易于解决。

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