PDF(2303 KB)
基于频谱动态控制的异构蜂窝网络安全高效传输方案
Chenxi Li, Lei Guan, Huaqing Wu, Nan Cheng, Zan Li, Xuemin Sherman Shen
工程（英文） ›› 2022, Vol. 17 ›› Issue (10) : 220-231.
PDF(2303 KB)
PDF(2303 KB)
基于频谱动态控制的异构蜂窝网络安全高效传输方案
Dynamic Spectrum Control-Assisted Secure and Efficient Transmission Scheme in Heterogeneous Cellular Networks
异构蜂窝网络（heterogeneous cellular network, HCN）是一种具有发展前景的结构，可以提供无缝无线覆盖并提高网络容量。然而，密集化的多层网络结构引入了过多的层内和层间干扰，使HCN容易受到窃听攻击。本文提出了一种基于频谱动态控制（dynamic spectrum control, DSC）的传输方案，用于加强HCN的网络安全并提高网络容量。该DSC辅助传输方案利用了分组加密的密码学思想，通过执行迭代和正交的序列变换生成代表传输决定的序列族。基于这些序列族，多位用户可以动态地占用不同频隙进行数据传输。此外，本文还分析了数据传输的碰撞概率，从而得出可靠传输概率和保密概率的解析表达式。然后，在给定可靠传输概率和安全传输概率的要求下，进一步得出了网络容量的上下限。仿真结果表明，本研究提出的DSC辅助方案在安全性能方面能够优于基准方案。最后，本文评估并讨论了DSC辅助方案中的关键因素对网络容量和安全性的影响。
Heterogeneous cellular networks (HCNs) are envisioned as a promising architecture to provide seamless wireless coverage and increase network capacity. However, the densified multi-tier network architecture introduces excessive intra- and cross-tier interference and makes HCNs vulnerable to eavesdropping attacks. In this article, a dynamic spectrum control (DSC)-assisted transmission scheme is proposed for HCNs to strengthen network security and increase the network capacity. Specifically, the proposed DSC-assisted transmission scheme leverages the idea of block cryptography to generate sequence families, which represent the transmission decisions, by performing iterative and orthogonal sequence transformations. Based on the sequence families, multiple users can dynamically occupy different frequency slots for data transmission simultaneously. In addition, the collision probability of the data transmission is analyzed, which results in closed-form expressions of the reliable transmission probability and the secrecy probability. Then, the upper and lower bounds of network capacity are further derived with given requirements on the reliable and secure transmission probabilities. Simulation results demonstrate that the proposed DSC-assisted scheme can outperform the benchmark scheme in terms of security performance. Finally, the impacts of key factors in the proposed DSC-assisted scheme on the network capacity and security are evaluated and discussed.
异构蜂窝网络 / 频谱动态控制 / 传输安全 / 高效数据传输
Heterogeneous cellular networks / Dynamic spectrum control / Transmission security / Efficient data transmission
| [1] |
Giordani M, Polese M, Mezzavilla M, Rangan S, Zorzi M. Toward 6G networks: use cases and technologies. IEEE Commun Mag 2020;58(3):55–61.
|
| [2] |
Chen S, Liang YC, Sun S, Kang S, Cheng W, Peng M. Vision, requirements, and technology trend of 6G: how to tackle the challenges of system coverage, capacity, user data-rate and movement speed. IEEE Wirel Commun 2020;27(2): 218–28.
|
| [3] |
Zhuang W, Ye Q, Lyu F, Cheng N, Ren J. SDN/NFV-empowered future IoV with enhanced communication, computing, and caching. Proc IEEE 2020;108(2): 274–91.
|
| [4] |
Wu H, Chen J, Xu W, Cheng N, Shi W, Wang L, et al. Delay-minimized edge caching in heterogeneous vehicular networks: a matching-based approach. IEEE Trans Wirel Commun 2020;19(10):6409–24.
|
| [5] |
Zhou Z, Chen X, Zhang Y, Mumtaz S. Blockchain-empowered secure spectrum sharing for 5G heterogeneous networks. IEEE Netw 2020;34(1):24–31.
|
| [6] |
Tang W, Feng S, Ding Y, Liu Y. Physical layer security in heterogeneous networks with jammer selection and full-duplex users. IEEE Trans Wirel Commun 2017;16(12):7982–95.
|
| [7] |
Zhou H, Cheng N, Yu Q, Shen XS, Shan D, Bai F. Toward multi-radio vehicular data piping for dynamic DSRC/TVWS spectrum sharing. IEEE J Sel Areas Commun 2016;34(10):2575–88.
|
| [8] |
Zhang L, Ding G, Wu Q, Zou Y, Han Z, Wang J. Byzantine attack and defense in cognitive radio networks: a survey. IEEE Commun Surv Tutor 2015;17(3): 1342–63.
|
| [9] |
Yang XN, Wang W, Xu XF, Pang GR, Zhang CL. Research on the construction of a novel cyberspace security ecosystem. Engineering 2018;4(1):47–52.
|
| [10] |
Chen H, Hua J, Li F, Chen F, Wang D. Interference analysis in the asynchronous f-OFDM systems. IEEE Trans Commun 2019;67(5):3580–96.
|
| [11] |
Xu G, Li H, Ren H, Yang K, Deng RH. Data security issues in deep learning: attacks, countermeasures, and opportunities. IEEE Commun Mag 2019;57(11): 116–22.
|
| [12] |
Ren K, Zheng T, Qin Z, Liu X. Adversarial attacks and defenses in deep learning. Engineering 2020;6(3):346–60.
|
| [13] |
Goddijn I, Kouns J. Data breach QuickView report 2019 Q3 trends. Technical report. Richmond: Risk Based Security, Inc.; 2019 Nov.
|
| [14] |
Tao F, Qi Q, Wang L, Nee AYC. Digital twins and cyber–physical systems toward smart manufacturing and Industry 4.0: correlation and comparison. Engineering 2019;5(4):653–61.
|
| [15] |
Cook DJ, Duncan G, Sprint G, Fritz RL. Using smart city technology to make healthcare smarter. Proc IEEE 2018;106(4):708–22.
|
| [16] |
O’Neill M. Insecurity by design: today’s IoT device security problem. Engineering 2016;2(1):48–9.
|
| [17] |
Afzal MK, Zikria YB, Mumtaz S, Rayes A, Al-Dulaimi A, Guizani M. Unlocking 5G spectrum potential for intelligent IoT: opportunities, challenges, and solutions. IEEE Commun Mag 2018;56(10):92–3.
|
| [18] |
Lv T, Gao H, Yang S. Secrecy transmit beamforming for heterogeneous networks. IEEE J Sel Areas Commun 2015;33(6):1154–70.
|
| [19] |
Wang HM, Zheng TX, Yuan J, Towsley D, Lee MH. Physical layer security in heterogeneous cellular networks. IEEE Trans Commun 2016;64(3): 1204–19.
|
| [20] |
Xu M, Tao X, Yang F, Wu H. Enhancing secured coverage with CoMP transmission in heterogeneous cellular networks. IEEE Commun Lett 2016;20(11):2272–5.
|
| [21] |
Zou Y, Sun M, Zhu J, Guo H. Security–reliability tradeoff for distributed antenna systems in heterogeneous cellular networks. IEEE Trans Wirel Commun 2018;17(12):8444–56.
|
| [22] |
Jiang Y, Zou Y, Ouyang J, Zhu J. Secrecy energy efficiency optimization for artificial noise aided physical-layer security in OFDM-based cognitive radio networks. IEEE Trans Veh Technol 2018;67(12):11858–72.
|
| [23] |
Rao JB, Fapojuwo AO. Analysis of spectrum efficiency and energy efficiency of heterogeneous wireless networks with intra-/inter-RAT offloading. IEEE Trans Veh Technol 2015;64(7):3120–39.
|
| [24] |
Al Masri MA, Sesay AB. Mobility-aware performance evaluation of heterogeneous wireless networks with traffic offloading. IEEE Trans Veh Technol 2016;65(10):8371–87.
|
| [25] |
Yang L, Song SH, Letaief KB. Optimal overlay cognitive spectrum access with FALOHA in macro–femto heterogeneous networks. IEEE Trans Wirel Commun 2016;15(2):1323–35.
|
| [26] |
Yang C, Li J, Guizani M, Anpalagan A, Elkashlan M. Advanced spectrum sharing in 5G cognitive heterogeneous networks. IEEE Wirel Commun 2016;23(2): 94–101.
|
| [27] |
Wyner AD. The wire-tap channel. Bell Syst Tech J 1975;54(8):1355–87.
|
| [28] |
Cheng N, Zhang N, Lu N, Shen X, Mark JW, Liu F. Opportunistic spectrum access for CR-VANETs: a game-theoretic approach. IEEE Trans Veh Technol 2014;63(1): 237–51.
|
| [29] |
Li Z, Guan L, Li C, Radwan A. A secure intelligent spectrum control strategy for future THz mobile heterogeneous networks. IEEE Commun Mag 2018;56(6): 116–23.
|
| [30] |
Jiang C, Chen Y, Liu KJR, Ren Y. Renewal-theoretical dynamic spectrum access in cognitive radio network with unknown primary behavior. IEEE J Sel Areas Commun 2013;31(3):406–16.
|
| [31] |
Li X, Wang X, Li K, Han Z, Leung VCM. Collaborative multi-tier caching in heterogeneous networks: modeling, analysis, and design. IEEE Trans Wirel Commun 2017;16(10):6926–39.
|
| [32] |
Li C, Li Z, Shi J, Guan L, Zhang L. Intelligent spectrum control in heterogeneous networks with high security capability. IEEE Wirel Commun Lett 2020;9(6): 830–3.
|
| [33] |
Hu L, Wen H, Wu B, Tang J, Pan F, Liao RF. Cooperative jamming-aided secrecy enhancement in wireless networks with passive eavesdroppers. IEEE Trans Veh Technol 2018;67(3):2108–17.
|
| [34] |
Si J, Cheng Z, Li Z, Cheng J, Wang HM, Al-Dhahir N. Cooperative jamming for secure transmission with both active and passive eavesdroppers. IEEE Trans Commun 2020;68(9):5764–77.
|
| [35] |
Kim KJ, Liu H, Wen M, Orlik PV, Poor HV. Secrecy performance analysis of distributed asynchronous cyclic delay diversity-based cooperative single carrier systems. IEEE Trans Commun 2020;68(5):2680–94.
|
| [36] |
Jo HS, Sang YJ, Xia P, Andrews JG. Heterogeneous cellular networks with flexible cell association: a comprehensive downlink SINR analysis. IEEE Trans Wirel Commun 2012;11(10):3484–95.
|
| [37] |
Yuan Q, Zhou H, Liu Z, Li J, Yang F, Shen X. CESense: cost-effective urban environment sensing in vehicular sensor networks. IEEE Trans Intell Transp Syst 2019;20(9):3235–46.
|
| [38] |
Jiang C, Chen Y, Gao Y, Liu KJR. Joint spectrum sensing and access evolutionary game in cognitive radio networks. IEEE Trans Wirel Commun 2013;12(5): 2470–83.
|
| [39] |
Wang D, Zhang N, Li Z, Gao F, Shen X. Leveraging high order cumulants for spectrum sensing and power recognition in cognitive radio networks. IEEE Trans Wirel Commun 2018;17(2):1298–310.
|
| [40] |
Li Z, Chang Y, Jin L. A novel family of frequency hopping sequences for multi-hop bluetooth networks. IEEE Trans Consum Electron 2003;49 (4):1084–9.
|
/
| 〈 |
|
〉 |
