点击次数：

所属单位：计算机科学与技术学院/人工智能学院/软件学院

发表刊物：IEEE INTERNET OF THINGS JOURNAL

关键字：Convex approximation green communications Internet of Things (IoT) multiaccess management non-negative matrix theory

摘要：The exponential increase of the intelligent connected devices and the dramatic growth of the wireless data traffic have motivated the development of the green wireless networks as well as the Internet of Things (IoT). In this paper, we study the minimization problem of the total power to satisfy the required rate constraints in IoT, where the users simultaneously communicate through multiple independent channels. This problem is complicated due to the nonlinear data rate function based on the Shannon capacity formula. To this end, we first transfer the initial problem in power domain to an equivalent problem in rate domain instead of direct approximation for the high data rate. Then, we approximate it to a convex problem with the spectral radius constraints by the use of the Neumann expansion and nonlinear Perron-Frobenius theorem. By doing so, we achieve the close upper bound for this total power minimization problem. Moreover, we obtain the lower bound by making use of the convex relaxation technique, and finally get the global optimal solution by leveraging the branch-and-bound method. Simulation results verify that our proposed algorithms have a good approximation to the global optimal value for the power and rate allocations.

ISSN号：2327-4662

是否译文：否

发表时间：2018-06-30

合写作者：Guan, Xiaoxiao,Zhu, Chunsheng,Shu, Lei,袁家斌

通讯作者：Zhu, Chunsheng,翟象平