同时收发的机载认知网络优化设计
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摘要
针对由主网和次网构成的分层机载认知网络,研究了采用同时收发认知抗干扰技术的网络节点优化设计.首先,基于能量检测法推导出衰落信道中多跳认知网络的虚警概率和检测概率,并据此计算得到次网认知无线电(cognitive radio,CR)吞吐量.然后,以次网CR总吞吐量最大和发射功率最低为目标,建立感知时间、判决阈值和发射功率约束的多目标优化模型,并用拟牛顿法和对数罚函数法求解该优化问题.仿真结果表明,每一组初始化的目标函数值经优化后均可得其Pareto最优解,最优解对应的感知时间、信道判决阈值和信道发射功率是唯一的.
For the hierarchical airborne cognitive network that is composed of primary net( PNet) and secondary net( SNet),an optimal design of hierarchical airborne network,which is equipped with cognitive anti-jamming radio,was investigated based on simultaneous transmit and receive( STAR).First,the false alarm and detection probability of the multihop cognitive network in the fading channel were derived based on the energy detection method( ED),then the throughput of the secondary net CRs was calculated. Furthermore,a multi-objective optimization model constraint by sensing time,decision threshold and transmitting power was constructed to maximize the throughputs and minimize the transmitting power of the secondary net CRs,an approach was presented based on quasi-Newton method and a logarithm penalty function method to solve this optimization problem. The simulation results show that the Pareto optimal solution can be obtained after the optimization of each set of initialized target functions,and the optimization solution is corresponding to unique sensing time,channel decision threshold and channel transmit power.
For the hierarchical airborne cognitive network that is composed of primary net( PNet) and secondary net( SNet),an optimal design of hierarchical airborne network,which is equipped with cognitive anti-jamming radio,was investigated based on simultaneous transmit and receive( STAR).First,the false alarm and detection probability of the multihop cognitive network in the fading channel were derived based on the energy detection method( ED),then the throughput of the secondary net CRs was calculated. Furthermore,a multi-objective optimization model constraint by sensing time,decision threshold and transmitting power was constructed to maximize the throughputs and minimize the transmitting power of the secondary net CRs,an approach was presented based on quasi-Newton method and a logarithm penalty function method to solve this optimization problem. The simulation results show that the Pareto optimal solution can be obtained after the optimization of each set of initialized target functions,and the optimization solution is corresponding to unique sensing time,channel decision threshold and channel transmit power.
引文
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[15] YUAN W, YOU X, XU J, et al. Multiobjective optimization of linear cooperative spectrum sensing:pareto solutions and refinement[J]. IEEE Trans Cybern,2016,46(1):96-108.
[16] FITZ M P,HALFORD T R,HOSSAIN I,et al. Towards simultaneous radar and spectral sensing[C]∥International Symposium on Dynamic Spectrum Access Neworks. Piscataway:IEEE,2014:15-19.
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[18] CHEUNG S K,HALLORAN T P,WEEDON W H,et al.MMIC-based quadrature hybrid quasi-circulators for simultaneous transmit and receive[J]. IEEE Transactions on Microwave Theory&Techniques,2010,58(3):489-497.
[19] ENSERINK S,FITZ M P,GOVERDHANAM K,et al.Joint analog and digital interference cancellation[C]∥Microwave Symposium. Piscataway:IEEE,2014:378-379.
[20] SINGH A, BHATNAGAR M R, MALLIK R K.Performance of an improved energy detector in multihop cognitive radio networks[J]. IEEE Transactions on Vehicular Technology,2016,65(2):732-743.
[2] SAKHAEE E, JAMALIPOUR A. The global in-flight internet[J]. IEEE Journal on Selected Areas in Communications,2006,24(9):1748-1757.
[3] AMIRFEIZ M. The ATENAA project[EB/OL].[2018-01-01]. http:∥cordis. europa. eu/result/rcn/47576_en. html
[4] SCHNELL M, SCALISE S. Newsky—a concept for networking the SKY for civil aeronautical communications[J]. IEEE Aerospace&Electronic Systems Magazine,2007,22(5):25-29.
[5] BHATTARAI S,PARK J M J,GAO B,et al. An overview of dynamic spectrum sharing:ongoing initiatives,challenges,and a roadmap for future research[J]. IEEE Transactions on Cognitive Communications&Networking,2016,2(2):110-128.
[6] HOSSAIN E,NIYATO D,KIM D I. Evolution and future trends of research in cognitive radio:a contemporary survey[J]. Wireless Communications&Mobile Computing,2015,15(11):1530-1564.
[7] WANG Y. Cognitive radio for aeronautical air-ground communications[J]. IEEE Aerospace&Electronic Systems Magazine,2010,25(5):18-23.
[8] SALEEM Y,REHMANI M H,ZEADALLY S. Integration of cognitive radio technology with unmanned aerial vehicles:issues, opportunities, and future research challenges[J]. Journal of Network&Computer Applications,2015,50:15-31.
[9] JACOB P,SIRIGINA R P,MADHUKUMAR A S,et al.Cognitive radio for aeronautical communications:a survey[J]. IEEE Access,2017,4:3417-3443.
[10]刘淑慧.机载认知通信网络架构研究[J].电讯技术,2016,56(4):360-364.LIU S H. Study on airborne cognitive communication networks architecture[J]. Telecommunication Engineering,2016,56(4):360-364.(in Chinese)
[11]黎海涛,钱一名,方正.网电空间数据链的认知抗干扰技术[J].航空学报,2016,37(11):3476-3484.LI H T,QIAN Y M,FANG Z. Simultaneous transmit and receive based cognitive anti-jamming for cyberspace datalink[J]. Acta Aeronautica ET Astronautica Sinica,2016,37(11):3476-3484.(in Chinese)
[12] LI H T, QIAN Y M. Effects of IQ imbalance for simultaneous transmit and receive based cognitive antijamming receiver[J]. AEU-International Journal of Electronics and Communications,2017,72:26-32.
[13] DANG H V,KINSNER W. An analytical multiobjective optimization of joint spectrum sensing and power control in cognitive radio networks[C]∥International Conference on Cognitive Informatics&Cognitive Computing.Piscataway:IEEE,2015:39-48.
[14] LIU W, QIN G, LI S, et al. A multiobjective evolutionary algorithm for energy-efficient cooperative spectrum sensing in cognitive radio sensor network[J].International Journal of Distributed Sensor Networks,2015,2015:9.
[15] YUAN W, YOU X, XU J, et al. Multiobjective optimization of linear cooperative spectrum sensing:pareto solutions and refinement[J]. IEEE Trans Cybern,2016,46(1):96-108.
[16] FITZ M P,HALFORD T R,HOSSAIN I,et al. Towards simultaneous radar and spectral sensing[C]∥International Symposium on Dynamic Spectrum Access Neworks. Piscataway:IEEE,2014:15-19.
[17] KOLODZIEJ K E, PERRY B T, HERD J S.Simultaneous transmit and receive(STAR)system architecture using multiple analog cancellation layers[C]∥Microwave Symposium. Piscataway:IEEE,2015:1-4.
[18] CHEUNG S K,HALLORAN T P,WEEDON W H,et al.MMIC-based quadrature hybrid quasi-circulators for simultaneous transmit and receive[J]. IEEE Transactions on Microwave Theory&Techniques,2010,58(3):489-497.
[19] ENSERINK S,FITZ M P,GOVERDHANAM K,et al.Joint analog and digital interference cancellation[C]∥Microwave Symposium. Piscataway:IEEE,2014:378-379.
[20] SINGH A, BHATNAGAR M R, MALLIK R K.Performance of an improved energy detector in multihop cognitive radio networks[J]. IEEE Transactions on Vehicular Technology,2016,65(2):732-743.