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Resource Allocation for throughput maximization in Cognitive Radio Network with NOMA

Computers, Materials & Continua 2022年第1期70卷 195-212页

作者： Xiaoli He Yu Song Yu Xue Muhammad Owais Weijian Yang Xinwen Cheng School of Computer Science Sichuan University of Science and EngineeringZigong643000China Department of Network Information Management Center Sichuan University of Science and EngineeringZigong643000China School of Information Engineering South West University of Science and TechnologyMianyang621010China School of Computer and Software Nanjing University of Information Science and TechnologyJiangsu210044China Alhamd Islamic University Airport Road Quetta BalochistanPakistan

Spectrum resources are the precious and limited natural *** order to improve the utilization of spectrum resources and maximize the network throughput,this paper studies the resource allocation of the downlink cognitive radio network with non-orthogonalmultiple access(CRN-NOMA).NOMA,as the key technology of the fifth-generation communication(5G),can effectively increase the capacity of 5G *** optimization problem proposed in this paper aims to maximize the number of secondary users(SUs)accessing the system and the total throughput in the *** the constraints of total power,minimum rate,interference and SINR,CRN-NOMA throughput is maximized by allocating optimal transmission ***,for the situation of multiple sub-users,an adaptive optimization method is proposed to reduce the complexity of the optimization ***,for the optimization problem of nonlinear programming,a maximization throughput optimization algorithm based on Chebyshev and convex(MTCC)for CRN-NOMA is proposed,which converts multi-objective optimization problem into single-objective optimization problem to *** the same time,the convergence and time complexity of the algorithm are *** analysis and simulation results show that the algorithm can effectively improve the system *** terms of interference and throughput,the performance of the sub-optimal solution is better than that of orthogonal-frequency-division-multiple-access(OFDMA).This paper provides important insights for the research and application of NOMA in future communications.

关键词： Resource allocation non-orthogonal multiple access cognitive radio network throughput maximization Chebyshev convex

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3D placement of unmanned aerial vehicles and partially overlapped channel assignment for throughput maximization

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Digital Communications and Networks 2021年第2期7卷 214-222页

作者： Chengming Zou Xiaoxiao Li Xing Liu Mengya Zhang Hubei Key Laboratory of Transportation Internet of Things Wuhan University of TechnologyWuhan430070China School of Computer Science and Technology Wuhan University of TechnologyWuhan430070China Peng Cheng Laboratory Shenzhen518055China Logistics Engineering School Wuhan University of TechnologyWuhan430070China

This paper investigates a wireless system with multi-Unmanned Aerial Vehicles(UAVs)for improving the overall *** contrast to previous studies that optimize the locations of UAVs and channel assignment separately,this paper considers the two issues jointly by exploiting Partially Overlapped Channels(POCs).The optimization problem of maximizing network throughput is formulated as a non-convex and non-linear *** order to find a practical solution,the problem is decomposed into two subproblems,which are iteratively ***,the optimal locations of UAVs are determined under a fixed channel assignment scheme by solving the mixed-integer second-order cone ***,an efficient POC allocation scheme is determined via the proposed channel assignment *** results show that the proposed approach not only significantly improves system throughput and service reliability compared with the cases in which only orthogonal channels and stationary UAVs are considered,but also achieves similar performance using the exhaustive search algorithm with lower time complexity.

关键词： Unmanned aerial vehicle Partially overlapped channel throughput maximization Channel assignment

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throughput maximization for Cognitive Radio Networks with Time-Domain Combining Cooperative Spectrum Sensing 14th

Throughput Maximization for Cognitive Radio Networks with Ti...

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2012 IEEE 14th International Conference on Communication Technology

作者： Hang Hu Ning Li Lianguo Wu Youyun Xu Yande Chen Institute of Communications Engineering PLA University of Science and Technology

ISBN: (纸本)9781467321006

To improve the sensing performance,cooperation among cognitive users can be utilized to collect space *** this paper,we propose a novel time-domain cooperative spectrum sensing framework,in which the time consumed by reporting for one cognitive user is also utilized for other cognitive users’ *** time varying channels,the novel time-domain combining cooperative spectrum sensing is *** focus on the optimal sensing settings to maximize the throughput of the secondary network under the constraint that the primary users are sufficiently *** simple algorithms are also derived to calculate the optimal *** results show that fundamental improvement of the achievable throughput can be obtained by optimal sensing *** addition,the novel time-domain cooperative spectrum sensing scheme shows a much larger throughput than cooperative sensing based on general frame structure.

关键词： Time-domain cooperative spectrum sensing cogni- tive radio networks throughput maximization optimal sensing setting.

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throughput Enhancement for NOMA Systems Using Intelligent Reflecting Surfaces

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Computers, Materials & Continua 2022年第12期73卷 5233-5244页

作者： Raed Alhamad Hatem Boujemaa Information Technology Department Saudi Electronic UniversityRiaydhSaudi Arabia UCAR-SUPCOM-COSIM Ariana2083Tunisia

In this article,we optimize the powers associated to Non Orthogonal Multiple Access(NOMA)users,sensing and harvesting duration for Cognitive Radio Networks(CRN).The secondary source harvests energy from node A ***,it senses the channel to detect primary ***,the secondary source transmits a signal that is reflected by Intelligent Reflecting Surfaces(IRS)so that all reflections have a zero phase at any user.A set Ii of reflectors are associated to user *** use ofM=Mi=512,256,128,64,32,16,8 reflectors per user offers 45,42,39,36,33,30,27 dB gain *** absence of *** also suggest the use of IRS in energy *** use P=8 reflectors for energy harvesting and M=Mi=8 reflectors per user for data communications offers 7 and 38 dB gain *** IRSM=Mi=8 and the absence of *** use of P=16 reflectors for energy harvesting and M=Mi=8 reflectors per user for data communications offers 9 and 42 dB gain *** IRS M=Mi=8 and the absence of IRS.

关键词： CRN NOMA spectrum sensing energy harvesting throughput maximization

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Energy efficient design for multiuser downlink energy and uplink information transfer in 5G

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Science China(Information Sciences) 2016年第2期59卷 74-81页

作者： Chunguo LI Yanshan LI Kang SONG Luxi YANG Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education Southeast University ATR National Key Laboratory of Defense Technology Shenzhen University

Simultaneous wireless information and power transfer(SWIPT) is studied in this paper for the wireless powered downlink(DL) and multiuser information uplink(UL) systems. The objective is to maximize the energy efficiency defined as the ratio of the achieved throughput over the energy cost by optimizing the time allocation for the DL and multi-user UL traffics and its goal is to obtain the analytical expression to the optimal time allocation yet the resulting difficulty comes from the sum throughput of the multiuser in UL as well as the corresponding power consumption. To tackle this, the Jensen inequality is applied to approximating the exact expression of the sum throughput for the UL multi-users, leading to an upper-bound of the *** final closed form is exact in the single-user scenario yet approximate in the multi-user scenario. Numerical simulations verify the tightness of this approximation and the performances of the proposed analytical scheme.

关键词： energy harvest time allocation energy efficiency uplink multiuser throughput maximization analytical expression

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Load-Aware Offloading Strategy in Two-Tier Heterogeneous Network

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China Communications 2016年第8期13卷 148-158页

作者： Jianyuan Feng Zhiyong Feng Zhiqing Wei Key Laboratory of Universal Wireless Communications Ministry of Education Beijing University of Posts and Telecommunications

Although small cell offloading technology can alleviate the congestion in macrocell, aggressively offloading data traffic from macrocell to small cell can also degrade the performance of small cell due to the heavy load. Because of collision and backoff, the degradation is significant especially in network with contention-based channel access, and finally decreases throughput of the whole network. To find an optimal fraction of traffic to be offloaded in heterogeneous network, we combine Markov chain with the Poisson point process model to analyze contention-based throughput in irregularly deployment networks. Then we derive the close-form solution of the throughput and find that it is a function of the transmit power and density of base *** on this, we propose the load-aware offloading strategies via power control and base station density adjustment. The numerical results verify our analysis and show a great performance gain compared with non-load-aware offloading.

关键词： heterogeneous networks offloading strategies load-aware Poisson point process Markov chain throughput maximization CSMA

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