Cooperative spectrum sensing scheduling scheme based on discrete particle swarm optimization algorithm by Xing ZHANG, Ye WANG, Yi YANG, Qin-yu ZHANG

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Cooperative spectrum sensing scheme against SSDF attack based on ESD test in radio network by Lichun XIE, Chunqin ZHANG

Subjects: “…cognitive radio network,…”
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MRR scheduling based cognitive LTE-R eNode B and type of service value priority queue management strategy by Hongyu DENG, Yiming WANG, Cheng WU

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Effective and fair cognitive terminal assignment scheme for cooperative spectrum sensing by WU Zhiqiang, LIU Qianli, LIU Jiabin, FENG Qing, XIAO Shanpeng, LIU Shang

“…Cooperative spectrum sensing is regarded as the foundation and a key stage of cognitive radio networks. The node allocation strategy during the spectrum detection process was directly determined by the results of joint spectrum sensing. …”
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Collaborative Cognitive Wireless Network Optimization Model and Network Parameter Optimization Algorithm by Tao Zhang

“…In recent years, the combination of cognitive radio and collaborative communication has been widely studied and applied because of its ability to increase user throughput and improve spectrum utilization in a flat-fading wireless channel environment. Such cognitive radio networks that use user collaboration to improve channel capacity and spectrum utilization are called collaborative cognitive radio networks. …”
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Robust resource allocation algorithm for cognitive radio system by Yong-jun XU, Xiao-hui ZHAO

“…For the underlay cognitive radio networks with multiuser under parameter uncertainties, a robust distributed robust power control algorithm was proposed. …”
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Performance analysis and optimization of cooperative spectrum sensing for maximizing secondary throughput by LI Mei-ling1, YUAN Chao-wei1, LI Lin1, YANG Rui-zhe3

“…The relationship among SU,detection threshold,bandwidth,spectrum utilization and secondary throughput in cognitive radio networks was analyzed,which indicates the lower false alarm probability,higher spectrum utilization and larger secondary throughput with less SU in C-CSS（censoring based cooperative spectrum sensing）,besides,the required detection threshold for maximizing the secondary throughput different with the traditional CSS under given SU number and the objective demand.Based on the NP criticism,an optimal cooperative spectrum sensing algorithm for maximizing the secondary throughput was proposed by solving the mathematic model to obtain the optimal party of SU and detection threshold.Theoretical analysis and simulation results show that the maximized secondary throughput achieved by the proposed optimal algorithm,while maintaining the given detection probability.…”
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Distributed energy efficient beamforming algorithm for multicell multiuser downlink system by Wen-yang CHEN, Shi-wen HE, Yong-ming HUANG, Lv-xi YANG

“…A distributed energy efficient beamforming algorithm was studied for multicell multiuser downlink communication system.Firstly,the energy efficient optimization problem was first considered as the maximization of the ratio between the system sum rate and the system power consumption.The fractional programming optimization target was then transformed into a subtractive form via using the fractional programming theorem.Secondly,the problem was decomposed into some subproblems that can be solved respectively by introducing the concept of the interference temperature in cognitive radio networks.Finally,an effective distributed energy efficient beamforming algorithm was proposed by exploiting the Lagrangian duality theorem and optimization theorem.Compared to the classical energy efficient optimization algorithm,the proposed algorithm can achieve an obvious energy efficiency performance gain.…”
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A distributed CRN resource allocation algorithm based on CBR and cooperative Q-learning by Lin XU, Zhijin ZHAO

“…In order to solve the problem of channel and power allocation in distributed cognitive radio networks (CRN),a case-based reasoning (CBR) and cooperative Q-learning algorithm was proposed.In order to optimize the Q initialization of Q-learning algorithm,the current problem and the historical case were matched according to the similarity function,the Q value of the matching case was extracted and normalized as the initial value.Cooperative Q-learning was based on the total reward value,and each agent integrates the Q values of other agents with higher reward values with different weights to gain learning experience to reduce unnecessary exploration.Simulations show that the proposed algorithm can improve the energy efficiency of the cognitive system’s channel and power allocation,and accelerate the convergence speed of the system.…”
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Distance criterion-based quantizer design for cooperative spectrum sensing by Yuanhua FU, Zhiming HE

“…In terms of sensing node’s energy and reporting channel’s bandwidth constrains problem for cooperative spectrum sensing in cognitive radio networks,an optimal quantizer design method based on distance criterion was proposed.First of all,the Bhattacharyya distance of received quantized data at the fusion center (FC) was calculated as performance criteria,the optimization mathematical model of the quantizer was constructed,and the optimum quantization thresholds were obtained by using particle swarm optimization algorithm.According to received sensing nodes’ quantized data at the FC,a log-likelihood ratio detector was constructed to decide the presence or absence of primary user signal,the upper bound to sensing performance of energy detector that without quantization was derived.Compared with the existing methods in literatures,the performance of proposed 3-bit quantization method approaches to the upper bound performance of energy detector,under the premise of obtaining comparable detection performance,the requirement of communication bandwidth is reduced.…”
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Power allocation algorithm of full duplex cognitive relay network based on energy harvesting by Shibing ZHANG, Liuke HAN, Meijuan ZHANG

“…To alleviate the shortage of spectrum resources and improve the power utilization of cognitive radio networks,a resource allocation algorithm of full duplex cognitive relay networks with energy harvesting was proposed.In the algorithm,the coefficient for power splitting of the relay and the transmit power of the secondary users were jointly optimized to maximize the throughput of the secondary users under the interference to primary users and energy harvesting constraints.Since the optimization of the algorithm was non-convex,it was transformed into two sub-optimizations,the sub-optimization of the coefficient for power splitting and the sub-optimization of the power transmitted of secondary users,which were the solvable convex sub-optimizations.Then,the final solution of the original optimization was obtained with the iterative algorithm.Simulation results show that the throughput of the proposed algorithm,can obtain 2 times throughput of the networks with half-duplex power splitting algorithm and 1.5 times throughput of the networks with full-duplex time switching algorithm.…”
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Delay-optimal spectrum decision method for cognitive network by Wu-jian SUN, Na LI, Yang LIU, Le SUN, Tao CHEN, Hao LI, Ou LI

“…Spectrum decision was investigated within the confine of spectrum management framework for cognitive radio networks.Sensing errors in PHY layer,outage probability on wireless channel and multiple interruptions of primary user were taken into consideration.Probability-based and sensing-based spectrum decision methods were proposed,which were capable of balancing traffic evenly among licensed.For the probability-based method,short-time first discipline was employed to further shorten average residual time,closed-formed expression were presented based on dynamical programing.For the sensing based method,new channel could be chosen for uncompleted transmission,which alleviated the time spent in waiting primary user.Optimal residual time was obtained by choosing the minimal value of the two methods.Furthermore,spectrum heterogeneity was taken into consideration and theoretical analysis was of general sense.Simulation results validate the approach is efficient.…”
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Jamming-resilient algorithm for underwater cognitive acoustic networks by Zixiang Wang, Fan Zhen, Senlin Zhang, Meiqin Liu, Qunfei Zhang

“…In the underwater cognitive acoustic networks, the anti-jamming problem is quite different from cognitive radio networks. It calls for an effective anti-jamming strategy in the cognitive acoustic channel access. …”
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SPECTRUMNET: Cooperative Spectrum Monitoring Using Deep Neural Networks by M. Suriya, M. G. Sumithra

“…Spectrum monitoring is one of the significant tasks required during the spectrum sharing process in cognitive radio networks (CRNs). Although spectrum monitoring is widely used to monitor the usage of allocated spectrum resources, this work focuses on detecting a primary user (PU) in the presence of secondary user (SU) signals. …”
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Cognitive Wireless Networks Based Spectrum Sensing Strategies: A Comparative Analysis by Anandakumar Haldorai, Jeevanandham Sivaraj, Munivenkatappa Nagabushanam, Michaelraj Kingston Roberts

“…These applications range from enclosed system configurations in the home and office to alfresco enlistment in an opponent’s landmass in a strategic flashpoint. Cognitive radio networks (CRNs) can be created by integrating radio link capabilities with network layer operations utilizing cognitive radios. …”
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Multiantenna Spectrum Sensing in the Presence of Multiple Primary Users over Fading and Nonfading Channels by Dayan Adionel Guimarães, Rausley Adriano Amaral de Souza, Guilherme Pedro Aquino

“…The basis of this paper is Wei and Tirkkonen, 2012, in which expressions for the key performance metrics of the sphericity test applied to the multiantenna cooperative spectrum sensing of multiple primary transmitters in cognitive radio networks over nonfading channels are provided. …”
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Survey on Cognitive Radio Green Network with Cross-Layer Technology by Jiao Wang, Junhui Zhao, Jiajiao Du

“…First, the spectrum of architecture and cross-layer structure on cognitive radio network were discussed; second, a large number of cognitive radio cross-layer solutions were discussed to make energy-saving target contrast; third, the key challenges were pointed out and possible solutions for cross-layer cognitive radio technology in green network were provided.…”
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Interference elimination based spectrum allocation algorithm for cognitive radio by Wen-feng DU, Ya-tao LIU, Zhong MING, Yin-xue SUI

“…With the spectrum allocation process in cognitive radio network,an interference elimination based spectrum allocation algorithm was proposed to improve the utilization of spectrum by allocating available spectrum to all cognitive users which can simultaneously access the same spectrum without interference.Meanwhile,this algorithm would allocate spectrum to cognitive user,which had not been assigned in previous allocation process,with reference to the amount of available spectrums in the initial stage to optimize t fairness of spectrum allocating process.Extensive simulation results show the proposed algorithm can achieve better throughput when the amount of available spectrum is far less that of cognitive user.…”
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Performance Analysis of Cognitive Radio System Based on Outage Probability of Cognitive Transmission by Haomin Gao, Haifeng Zhao, Xiao Liang, Xiaomin Mu

“…It is an important part to design an optimal spectrum sensing and transmission framework in cognitive radio network.Considering that cognitive data transmission outage had effect on the performance of cognitive radio system,a novel spectrum sensing and transmission model based on the outage probability of cognitive transmission was proposed and the two phases of spectrum sensing and data transmission were jointly optimized.The model was formulated as a nonconvex optimization problem under the constraint of interference to primary user,which maximized the average achievable throughput by the joint optimization of sensing time and data transmission rate and simulated by means of the numerical method.The numerical analysis shows that a better tradeoff can be achieved among the protection of primary user,the throughput of cognitive system and transmission delay when the outage probability is cited and the constraint is satisfied.…”
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Performance analysis and re-modeling of secondary users in cognitive radio system by Wei LIN, Yu FU, Qin-yu ZHANG, Ye WANG, Sheng WANG

“…A number of errors in the past Markov model and theoretical analysis were discussed in spectrum access based on cognitive radio network (CRN).To imitate the behav ary user (PU) and secondary user (SU) factually,new models for access strategy were presented.The performance of CRN based on different access strategies were reappraised and compared by using matrix geometric theory and event scheduling of discrete events system simulation.Theoretical analysis results and simulation experiments were tally close,which confirms the reliability of proposed models.The access strategies with handoff and channel reservation efficiently decrease the call dropping probability,as while as,increase the blocking probability.And the thought for CRN can reach the maximum in the latter with the optimum number of reserved channels.…”
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