Coping Uncertainty in Coexistence via Exploitation of Interference Threshold Violation
Coping Uncertainty in Coexistence via Exploitation of Interference Threshold Violation
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DOI：
10.1145/3323679.3326505
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发表时间：
2019-07
期刊：
影响因子：
--
通讯作者：
Shaoran Li;Yan-ping Huang;Chengzhang Li;Brian Jalaian;Y. T. Hou;Wenjing Lou
中科院分区：
文献类型：
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作者：
Shaoran Li;Yan-ping Huang;Chengzhang Li;Brian Jalaian;Y. T. Hou;Wenjing Lou
在底层共存中，次要用户 (SU) 尝试将对主要用户 (PU) 的干扰保持在阈值以下。由于PU之间缺乏合作，SU在信道状态信息(CSI)方面存在很大的不确定性。应对这种不确定性的有效方法是引入SU的偶尔干扰阈值违反，只要PU可以容忍这种偶尔的违反。本文通过机会约束规划 (CCP) 公式利用了这一想法，其中不确定 CSI 的知识仅限于一阶和二阶统计量，而不是其完整的分布信息。我们的主要贡献是引入了一种新颖而强大的技术，称为精确圆锥重构（ECR），以重新表述棘手的机会约束。 ECR 保证将线性机会约束等效地重新表述为确定性圆锥约束，并且不受与最先进的方法（伯恩斯坦近似）相关的限制。仿真结果证实，ECR 在不相关通道中比伯恩斯坦近似提供了显着的性能改进，并且在相关通道（伯恩斯坦近似不再适用）中提供了有竞争力的解决方案。
In underlay coexistence, secondary users (SUs) attempt to keep their interference to the primary users (PUs) under a threshold. Due to the absence of cooperation from the PUs, there exists much uncertainty at the SUs in terms of channel state information (CSI). An effective approach to cope such uncertainty is to introduce occasional interference threshold violation by the SUs, as long as such occasional violation can be tolerated by the PUs. This paper exploits this idea through a chance constrained programming (CCP) formulation, where the knowledge of uncertain CSI is limited to only the first and second order statistics rather than its complete distribution information. Our main contribution is the introduction of a novel and powerful technique, called Exact Conic Reformulation (ECR), to reformulate the intractable chance constraints. ECR guarantees an equivalent reformulation for linear chance constraints into deterministic conic constraints and does not suffer from the limitations associated with the state-of-the-art approach -- Bernstein Approximation. Simulation results confirm that ECR offers significant performance improvement over Bernstein Approximation in uncorrelated channels and a competitive solution in correlated channels (where Bernstein Approximation is no longer applicable).