Chinese Journal on Internet of Things ›› 2018, Vol. 2 ›› Issue (3): 51-60.doi: 10.11959/j.issn.2096-3750.2018.00064

• Theory and Technology • Previous Articles     Next Articles

Secure communication approach for Internet of things based on C-RAN fronthaul compression

Yong WANG,Mu ZHOU,Zengshan TIAN,Jinjun WU   

  1. Chongqing Key Lab of Mobile Communications Technology,School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
  • Revised:2018-08-24 Online:2018-09-01 Published:2018-10-15
  • Supported by:
    The National Natural Science Foundation of China(61771083);The National Natural Science Foundation of China(61704015);The Program for Changjiang Scholars and Innovative Research Team in University(IRT1299);The Special Fund of Chongqing Key Laboratory(cstc2017jcyjAX0380);The Fundamental and Frontier Research Project of Chongqing(cstc2015jcyjBX0065);The University Outstanding Achievement Transformation Project of Chongqing(KJZH17117);The Scientific and Technological Research Foundation of Chongqing Municipal Education Commission(KJ1704083)

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.

Key words: C-RAN, fronthaul compression, physical layer security, Internet of things communication

CLC Number: 

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