Radio Resource Allocation for Physical-layer Security in OFDMA Based HetNets with Unknown Mode of Adversary

被引:0
|
作者
Sheikhzadeh, Saeed [1 ]
Javan, Mohammad R. [2 ]
Mokari, Nader [1 ]
机构
[1] Tabiat Modares Univ, Dept Elect & Comp Engn, Tehran, Iran
[2] Shahrood Univ, Dept Elect Engn, POB 3619995161, Shahrood, Iran
关键词
Heterogeneous cellular networks; secure communications; active eavesdropper; resource allocation; arithmetic geometric mean; difference of two concave functions; POWER ALLOCATION; NETWORKS;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Consider an orthogonal frequency division multiple access (OFDMA)-based heterogeneous cellular network (HetNet) in which a macrocell is underlaid with several small cells overheard by eavesdropper and jamming by jammer. In this paper, our goal is to design a transmission strategy, such that the achievable secrecy rate is maximized subject to the individual transmit power constraints for the macrocell base station (MBS) and each small-cell base station (SBS) and a constraint for the interference caused by SBSs to the macrocell user equipments (MUEs). There exists an adversary which can choose between two functional modes: eavesdropping the transmission between the legitimate parties or jamming it, but not both at the same time. We assume that the mode of adversary on each sub-carrier is unknown. To solve this non-convex problem, we employ an iterative approach in which sub-carriers and transmit powers of each base stations are alternatively assigned and optimized at every step. To handle the non-convexity of the power allocation, we adopt the successive convex approximation (SCA) approach by exploiting arithmetic-geometric mean (AGM) and logarithmic and difference-of-two-concave-functions (D. C.) approximations to transform problem into a sequence of convex subproblems. Simulation results demonstrate the close-to-optimal performance of the proposed schemes.
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页数:6
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