A Real-Time Solution for Underlay Coexistence with Channel Uncertainty
A Real-Time Solution for Underlay Coexistence with Channel Uncertainty
复制标题
具有信道不确定性的底层共存的实时解决方案
DOI：
10.1109/globecom38437.2019.9014147
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
B. MacCall
中科院分区：
文献类型：
--
作者：
Shaoran Li;Yan Huang;Chengzhang Li;Brian Jalaian;S. Russell;Y. Hou;Wenjing Lou;B. MacCall
底层共存是一种有效的机制，可以通过与Macrocell在同一频谱上共存的Picocells，这是由于Macrocell中的主要用户（PUS）与Picocell中的主要用户（PUS）之间的合作。为了在这种情况下完全了解渠道的收益。但是，CCP的解决方案在计算上是强化的，无法满足5G的时间要求，以解决此问题，我们提出了一个名为GUC的新型调度程序（代表基于GPU的底层共存），以实时找到CCP的近似解决方案GUC的原始优化问题是通过广泛的实验中的大量小问题分解为适合于GPU平台上的平行计算的小问题。与商业求解器（在CPU上）相比，GUC将调度计算时间至少减少了10,000次，同时平均达到90％的最佳性。
Underlay coexistence is an effective mechanism to improve spectrum effïciency by having picocells coexist with macrocell on the same spectrum. Due to a lack of cooperation between the primary users (PUs) in the macrocell and secondary users (SUs) in the picocell, it is impossible to have complete knowledge of channel gains between them. Under such circumstance, chance-constrained programming (CCP) is shown to be the ideal optimization tool to address such uncertainty. However, solutions to CCP are computationally intensive and cannot meet 5G's timing requirement. To address this problem, we propose a novel scheduler called GUC (stands for GPU-based Underlay Coexistence) to find an approximate solution to CCP in real-time. The essence of GUC is to decompose the original optimization problem into a large number of small problems that are suitable for parallel computation on GPU platforms. Through extensive experiments, we show that GUC reduces the scheduling computation time by at least 10,000 times comparing to commercial solvers (on CPU) while achieving an average of 90% optimality.
DOI：
10.1145/3241539.3241552
发表时间：
2018-10
期刊：
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking
影响因子：
--
作者：
Yan Huang;Shaoran Li;Yiwei Thomas Hou;Wenjing Lou
通讯作者：
Yan Huang;Shaoran Li;Yiwei Thomas Hou;Wenjing Lou
DOI：
10.1145/3323679.3326505
发表时间：
2019-07
期刊：
Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing
影响因子：
--
作者：
Shaoran Li;Yan-ping Huang;Chengzhang Li;Brian Jalaian;Y. T. Hou;Wenjing Lou
通讯作者：
Shaoran Li;Yan-ping Huang;Chengzhang Li;Brian Jalaian;Y. T. Hou;Wenjing Lou