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Interference Coordination for Secrecy Enhancement in Random Wireless Networks

Interference Coordination for Secrecy Enhancement in Random Wireless Networks
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摘要 The co-channel interference modeling is vital for evaluating the secrecy performance in random wireless networks,where the legitimate nodes and eavesdroppers are randomly distributed.In this paper,a new interference model is proposed from the userdominant perspective.The model can provide a better analytical assessment of secrecy performance with interference coordination for the presence of eavesdroppers.The typical legitimate is assumed to be located at the origin,and chooses the closest base station(BS) as its serving BS.The field of interferers is obtained by excluding the desired BSs(including the serving BS and its cooperative BS(s)).In contract with the exiting interference model,it is assumed that desired BSs and interferers belong to the same Poisson Point Process(PPP),and eavesdroppers are distributed according to another independent PPP.Based on this model,the average secrecy transmission capacity is derived in simply analytical forms with interference coordination.Analysis and simulation results show that the secrecy performance can be significantly enhanced by exploiting interference coordination.Furthermore,the average secrecy transmission capacity increases with increasing number of cooperative BSs. The co-channel interference modeling is vital for evaluating the secrecy performance in random wireless networks,where the legitimate nodes and eavesdroppers are randomly distributed.In this paper,a new interference model is proposed from the userdominant perspective.The model can provide a better analytical assessment of secrecy performance with interference coordination for the presence of eavesdroppers.The typical legitimate is assumed to be located at the origin,and chooses the closest base station(BS) as its serving BS.The field of interferers is obtained by excluding the desired BSs(including the serving BS and its cooperative BS(s)).In contract with the exiting interference model,it is assumed that desired BSs and interferers belong to the same Poisson Point Process(PPP),and eavesdroppers are distributed according to another independent PPP.Based on this model,the average secrecy transmission capacity is derived in simply analytical forms with interference coordination.Analysis and simulation results show that the secrecy performance can be significantly enhanced by exploiting interference coordination.Furthermore,the average secrecy transmission capacity increases with increasing number of cooperative BSs.
出处 《China Communications》 SCIE CSCD 2014年第8期28-36,共9页 中国通信(英文版)
基金 This work is supported by the National Natural Science Foundation for Distinguished Young Scholar of China under Grant No. 61325006 and the National High-tech Research and Development Program of China under Grant No. 2014AA01A701.
关键词 interference coordination poissonpoint process secrecy transmission capacity random wireless networks 保密性能 干扰协调 随机分布 无线网络 干扰模型 传输容量 同信道干扰 干涉模式
作者简介 BAI Juan, is currently a Ph.D. candidate at Beijing University of Posts and Telecommunications (BUPT). Her major research is physical-layer security in sto- chastic wireless networks,TAO Xiaofeng, received his B.S degree in electrical engineering from Xi'an Jiaotong University, China, in 1993, and M.S.E.E and Ph.D. degrees in telecommunication engineering from Beijing University of Posts and Telecommunications (BUPT) in 1999 and 2002, respectively. He was a visiting Professor at Stanford University from 2009 to 2011, chief architect of Chinese National FUTURE 4G TDD working group from 2003 to 2006 and established 4G TDD CoMP trial network in 2006. He is currently a Professor at BUPT, Fellow of lET, the inventor or co-inventor of 60 patents, the author or co-author of 120 papers, in 4G and beyond 4G. *The corresponding author. Email: taoxf@bupt.edu.cnXU Jin, received her Ph.D. degree in telecommunication engineering from Beijing University of Posts and Telecommunications (BUPT) in 2008. Currently, she is a faculty member at BUPT. Her research interests include resource management and optimization, interference cancellation, and wireless network security.
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