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Heterogeneous coexistence between cognitive radio networks: a Markovian jump system method

机译:认知无线电网络之间的异构共存:马尔可夫跳跃系统方法

摘要

With the increasing demand of wireless spectrum, different unlicensed wireless communication technologies have been applied in the television white space (TVWS). It is vital to understand that the mutual interference over TVWS due to incompatible protocol designs heavily degrades the quality of service of coexisting heterogeneous cognitive radio networks. In this paper, taking the activity of primary users into consideration, we formulate the heterogeneous coexistence problem over TVWS as a nonlinear Markovian jump system (NMJS) based on the Lotka–Volterra competition model. By using the local linearization method, we first obtain a linear Markovian jump system model (which approximates the NMJS linearly at the desired spectrum share) to the NMJS. Further, we obtain an effective feedback controller to the equilibrium assignment of the NMJS via solving a sufficient condition in the form of linear matrix inequalities. Third, we propose an IEEE 802.19.1-compatible spectrum sharing algorithm which enables the NMJS to converge to the assigned spectrum share. Finally, extensive simulations are conducted to validate the effectiveness of our proposals.
机译:随着无线频谱需求的增加,在电视空白空间(TVWS)中已应用了各种不同的未许可无线通信技术。至关重要的是要理解,由于不兼容的协议设计而在TVWS上产生的相互干扰会严重降低共存的异构认知无线电网络的服务质量。在本文中,考虑到主要用户的活动,我们基于Lotka-Volterra竞争模型,将TVWS上的异构共存问题表述为非线性马尔可夫跳跃系统(NMJS)。通过使用局部线性化方法,我们首先获得了线性马尔可夫跳跃系统模型(在所需频谱份额处线性近似NMJS)。此外,我们通过求解线性矩阵不等式形式的充分条件,获得了对NMJS平衡分配的有效反馈控制器。第三,我们提出了一种IEEE 802.19.1兼容的频谱共享算法,该算法可使NMJS收敛到分配的频谱份额。最后,进行了广泛的仿真以验证我们建议的有效性。

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