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Distributed Robust Scheduling and Power Control For Cognitive Spatial-Reuse TDMA Networks

机译:认知空间重用TDMA网络的分布式鲁棒调度和功率控制

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摘要

We investigate the distributed robust transmission scheduling and power control problem in a cognitive spatial-reuse time division multiple access (STDMA) network. In particular, we address the problem of minimizing the transmission length (in terms of time-slots) of the secondary links under their minimum quality-of-service (QoS) requirements without violating the maximum tolerable interference limit for the primary receivers. Traditionally, the joint transmission scheduling and power control problem only considers the average link gains; therefore, QoS violation can occur due to improper power allocation with respect to instantaneous channel gain realization. To overcome this problem of QoS violation, our problem formulation takes the channel gain uncertainty into account. Since an optimal solution cannot be obtained due to the NP-completeness of the problem, we propose a novel distributed two-stage algorithm based on the distributed column generation method to obtain the near-optimal solution for the robust transmission schedules in an ad-hoc cognitive radio network. To demonstrate its relative efficiency, our algorithm is compared with previously proposed algorithms. For the proposed algorithm, we also derive the bounds on the probability of signal-to-interference-plus-noise ratio (SINR) constraint violation and the expected number of additional time-slots required to satisfy the traffic demand requirements of secondary links.
机译:我们研究认知空间复用时分多址(STDMA)网络中的分布式鲁棒传输调度和功率控制问题。尤其是,我们解决了在不违反主接收器最大容许干扰限制的情况下,在其最小服务质量(QoS)要求下将辅助链路的传输长度(以时隙为单位)最小化的问题。传统上,联合传输调度和功率控制问题只考虑平均链路增益;因此,由于瞬时信道增益实现方面的功率分配不当,可能会发生QoS违规。为了克服QoS违规的问题,我们的问题公式考虑了信道增益的不确定性。由于问题的NP完全性导致无法获得最优解,因此我们提出了一种基于分布式列生成方法的新型分布式两阶段算法,以获取自组织网络中鲁棒传输调度的近似最优解。认知无线电网络。为了证明其相对效率,将我们的算法与以前提出的算法进行了比较。对于所提出的算法,我们还得出了信噪比(SINR)约束违规的概率以及满足次级链路流量需求所需的额外时隙的预期数量的界限。

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