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基于C-RAN前向压缩的物联网安全通信方法
Secure communication approach for Internet of things based on C-RAN fronthaul compression
- 物联网学报 2018年2卷第3期 页码：51-60
- 作者机构：
- 作者简介：
[ "王勇（1987-），男，博士，重庆邮电大学讲师，主要研究方向为无线通信、能效优化、深度学习理论等。" ]
[ "周牧（1984-），男，重庆邮电大学教授、博士生导师，主要研究方向为无线定位与导航技术、信号侦察与检测技术、凸优化与深度学习理论等。" ]
[ "田增山（1968-），男，重庆邮电大学教授、博士生导师，主要研究方向为移动通信、个人通信、GPS及蜂窝网定位技术等。" ]
[ "吴金君（1994-），男，重庆邮电大学硕士生，主要研究方向为模式识别与深度学习技术。" ]
- 基金信息：国家自然科学基金资助项目;The National Natural Science Foundation of China(61771083);国家自然科学基金资助项目;The National Natural Science Foundation of China(61704015);长江学者和创新团队发展计划基金资助项目;The Program for Changjiang Scholars and Innovative Research Team in University(IRT1299);重庆市科委重点实验室专项经费基金资助项目;The Special Fund of Chongqing Key Laboratory(cstc2017jcyjAX0380);重庆市基础与前沿研究计划基金资助项目;The Fundamental and Frontier Research Project of Chongqing(cstc2015jcyjBX0065);重庆市高校优秀成果转化基金资助项目;The University Outstanding Achievement Transformation Project of Chongqing(KJZH17117);重庆市教委科学技术研究项目;The Scientific and Technological Research Foundation of Chongqing Municipal Education Commission(KJ1704083)
DOI：10.11959/j.issn.2096-3750.2018.00064
中图分类号： TP391纸质出版日期：2018-09-30，
网络出版日期：2018-09，
- 稿件说明：
移动端阅览
王勇, 周牧, 田增山, 等. 基于C-RAN前向压缩的物联网安全通信方法[J]. 物联网学报, 2018,2(3):51-60.
YONG WANG, MU ZHOU, ZENGSHAN TIAN, et al. Secure communication approach for Internet of things based on C-RAN fronthaul compression. [J]. Chinese journal on internet of things, 2018, 2(3): 51-60.
王勇, 周牧, 田增山, 等. 基于C-RAN前向压缩的物联网安全通信方法[J]. 物联网学报, 2018,2(3):51-60. DOI： 10.11959/j.issn.2096-3750.2018.00064.
YONG WANG, MU ZHOU, ZENGSHAN TIAN, et al. Secure communication approach for Internet of things based on C-RAN fronthaul compression. [J]. Chinese journal on internet of things, 2018, 2(3): 51-60. DOI： 10.11959/j.issn.2096-3750.2018.00064.
摘要
提出了一种云无线接入网络（C-RAN
cloud radio access network）安全通信系统下行资源分配算法，该算法在满足物联网信息终端的信干噪比、物联网窃听终端信干噪比和前向链路容量等约束条件下，通过联合优化基站模式、量化噪声和波束成形等参数实现系统功率最小化。此设计是一个非凸优化问题，为了有效求解该问题，采用分步优化方法将原问题进行分解。提出利用半定松弛技术和函数平滑方法，并通过迭代差分凸函数法求得原问题的次优解。通过二分法确定基站模式，再优化基站发射功率。仿真结果表明，所提联合优化算法相比组稀疏优化算法和基准算法具有更好的性能，且其性能接近穷举法。
Abstract
A resource allocation algorithm was proposed for downlink C-RAN secure communication system.This algorithm jointly optimized the parameters of base station (BS) mode
quantized noise and beamforming under the constraints of SINR requirements of Internet of things information receiver
eavesdropped receiver and fronthaul link capacity.Such a design was a non-convex optimization problem
and a step-by step optimization algorithm was proposed to decompose the original optimization problem efficiently.Semi-definite technique and function smoothing approach were adopted
and the local optimization solution of the original problem was obtained by the iterative different of convex method.Bi-section approach was further proposed to determine BS mode
and the transmitting power of the BSs were finally optimized.Simulation results indicate that the proposed joint optimization algorithm achieves better performance than group sparse optimization algorithm and baseline algorithm
and it has approximate optimal performance as the exhaustive search algorithm.
关键词
C-RAN前向压缩物理层安全物联网通信
Keywords
C-RANfronthaul compressionphysical layer securityInternet of things communication
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