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Resource Allocation and Optimization in Device-to-Device Communication 5g networks

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Computers, Materials & Continua 2021年第10期69卷 1201-1214页

作者： Fahad Ahmed Al-Zahrani Imran Khan Mahdi Zareei Asim Zeb Abdul Waheed Computer Engineering Department Umm Al-Qura UniversityMecca24381Saudi Arabia Department of Electrical Engineering University of Engineering and Technology PeshawarP.O.B.814Pakistan Tecnologico de Monterrey School of Engineering and SciencesZapopan45201Mexico Department of Computer Science Abbottabad University of Science and TechnologyHavelian22500Pakistan Department of Information Technology Hazara University MansehraMansehra21120Pakistan School of Electrical and Computer Engineering Seoul National UniversitySeoul08826Korea

The next-generation wireless networks are expected to provide higher capacity,system throughput with improved energy *** of the key technologies,to meet the demand for high-rate transmission,is deviceto-device(D2D)communication which allows users who are close to communicating directly instead of transiting through base stations,and D2D communication users to share the cellular user chain under the control of the cellular *** a new generation of cellular network technology,D2D communication technology has the advantages of improving spectrum resource utilization and improving system throughput and has become one of the key technologies that have been widely concerned in the ***,due to the sharing of cellular network resources,D2D communication causes severe interference to existing cellular *** of the most important factors in D2D communication is the spectrum resources utilization and energy consumption which needs considerable attention from research *** address these issues,this paper proposes an efficient algorithm based on the idea of particle swarm *** main idea is to maximize the energy efficiency based on the overall link optimization of D2D user pairs by generating an allocation matrix of spectrum and *** D2D users are enabled to reuse multiple cellular user’s resources by enhancing their total energy efficiency based on the quality of service constraints and the modification of location and speed in particle *** constraint also provides feasibility to solve the original fractional programming *** results indicate that the proposed scheme effectively improved the energy efficiency and spectrum utilization as compared with other competing alternatives.

关键词： 5g networks D2D communication resource allocation

Wideband Reconfigurable Millimeter-Wave Linear Array Antenna Using Liquid Crystal for 5g networks

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Wireless Engineering and Technology 2021年第1期12卷 1-14页

作者： Ali El Hajj Hassan Najib Fadlallah Mohammad Rammal georges Zakka El Nashef Elias Rachid Ecole Doctorale des Sciences et de la Technologie (EDST) Lebanese University (LU) Beirut Lebanon Ecole Supérieure d’Ingénieurs de Beyrouth (ESIB) Université Saint-Joseph (USJ) Beirut Lebanon

The advanced design of a 10 × 1 linear antenna array system with the capa-bility of frequency tunability using gT3-23001 liquid crystal (LC) is pro-posed. The design for this reconfigurable wideband antenna array for 5g ap-plications at Ka-band millimeter-wave (mmw) consists of a double layer of stacked patch antenna with aperture coupled feeding. The bias voltage over LC varies from 0 V to 10.6 V to achieve a frequency tunability of 1.18 gHz. The array operates from 25.3 gHz to 33.8 gHz with a peak gain of 19.2 dB and a beamwidth of 5.2° at 30 gHz. The proposed reconfigurable antenna ar-ray represents a real and efficient solution for the recent and future mmw 5g networks. The proposed antenna is suitable for 5g base stations in stadiums, malls and convention centers. It is proper for satellite communications and radars at mmw.

关键词： 5g networks Liquid Antenna Liquid Crystal Frequency Reconfigurability Antenna Array Millimeter-Wave

Machine Learning Based Classifiers for QoE Prediction Framework in Video Streaming over 5g Wireless networks

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Computers, Materials & Continua 2023年第4期75卷 1919-1939页

作者： K.B.Ajeyprasaath P.Vetrivelan School of Electronics Engineering Vellore Institute of TechnologyChennai600127India

Recently,the combination of video services and 5g networks have been gaining attention in the wireless communication *** the brisk advancement in 5g network usage and the massive popularity of threedimensional video streaming,the quality of experience(QoE)of video in 5g systems has been receiving overwhelming significance from both customers and service provider ***,effectively categorizing QoE-aware video streaming is imperative for achieving greater client *** work makes the following contribution:First,a simulation platform based on NS-3 is introduced to analyze and improve the performance of video *** simulation is formulated to offer real-time measurements,saving the expensive expenses associated with real-world ***,A valuable framework for QoE-aware video streaming categorization is introduced in 5g networks based on machine learning(ML)by incorporating the hyperparameter tuning(HPT)*** implements an enhanced hyperparameter tuning(EHPT)ensemble and decision tree(DT)classifier for video streaming *** performance of the ML approach is assessed by considering precision,accuracy,recall,and computation time metrics for manifesting the superiority of these classifiers regarding video streaming *** paper demonstrates that our ML classifiers achieve QoE prediction accuracy of 92.59%for(EHPT)ensemble and 87.037%for decision tree(DT)classifiers.

关键词： QoE-aware video streaming 5g networks wireless networks ensemble method

An Optimized Approach for Spectrum Utilization in mmWave Massive MIMO 5g Wireless networks

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Computer Systems Science & Engineering 2023年第11期47卷 1493-1505页

作者： Elsaid Md.Abdelrahim Mona Alduailij Mai Alduailij Romany F.Mansour Osama A.ghoneim Faculty of Science Northern Border UniversityArarSaudi Arabia Faculty of Science Tanta UniversityTantaEgypt Computer Sciences Department College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt Faculty of Computers and Information Tanta UniversityEl-GieshEgypt

Massive multiple-input multiple-output(MIMO)systems that use the millimeter-wave(mm-wave)band have a higher frequency and more antennas,which leads to significant path loss,high power consumption,and server *** to these issues,the spectrum efficiency is significantly reduced,making spectral efficiency improvement an important research topic for 5g *** with communication in the terahertz(THz)bands,mmWave communication is currently a component of the 5g standards and is seen as a solution to the commercial bandwidth *** quantity of continuous,mostly untapped bandwidth in the 30–300 gHz band has presented a rare opportunity to boost the capacity of wireless *** wireless communications and consumer electronics industries have recently paid a lot of attention to wireless data transfer and media streaming in the mmWave frequency *** massive MIMO beamforming technology cannot successfully prevent interference between multiple networks in the current spectrum-sharing schemes,particularly the complex interference dispersed in indoor communication systems such as homes,workplaces,and *** effectively improve spectrum utilization and reduce co-channel interference,this paper proposes a novel *** main idea is to utilize the spectrum in software-defined mmWave massive MIMO networks through coordinated and unified ***,the optimal interference threshold is determined through the beam alignment ***,a greedy optimization algorithm is used to allocate optimal spectral resources to the *** results show that the proposed algorithm improved spectral efficiency and reduced interference.

关键词： mmWave massive MIMO 5g networks SDN spectral efficiency

Artificial Intelligence Self-Organising (AI-SON) Frameworks for 5g-Enabled networks: A Review

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Journal of Computer and Communications 2023年第4期11卷 33-62页

作者： Delali Kwasi Dake Department of ICT Education University of Education Winneba Ghana

The fifth generation (5g) networks will support the rapid emergence of Internet of Things (IoT) devices operating in a heterogeneous network (HetNet) system. These 5g-enabled IoT devices will result in a surge in data traffic for Mobile Network Operators (MNOs) to handle. At the same time, MNOs are preparing for a paradigm shift to decouple the control and forwarding plane in a Software-Defined Networking (SDN) architecture. Artificial Intelligence powered Self-Organising networks (AI-SON) can fit into the SDN architecture by providing prediction and recommender systems to minimise costs in supporting the MNO’s infrastructure. This paper presents a review report on AI-SON frameworks in 5g and SDN. The review considers the dynamic deployment and functions of the AI-SON frameworks, especially for SDN support and applications. Each module in the frameworks was discussed to ascertain its relevance based on the context of AI-SON and SDN integration. After examining each framework, the identified gaps are summarised as open issues for future works.

关键词： Self-Organising networks Artificial Intelligence Software-Defined networks 5g networks Big Data

A game Theoretic Approach for Hierarchical Caching Resource Sharing in 5g Cellular networks with Virtualization

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A Game Theoretic Approach for Hierarchical Caching Resource ...

Optical Neural networks:Analysis and Prospects for 5g Applications

2018中国信息通信大会(CICC2018)

作者： Renchao Xie Rui Wang F.Richard Yu Tao Huang Yunjie Liu State Key Lab.of Networking and Switching Technology Beijing University of Posts and Telecom. Depart.of Systems and Computer Eng. Carleton University

In the forthcoming fifth generation（5g）cellular networks,caching and virtualization have been considered as promising *** virtualization of 5g cellular networks,the caching resources deployed by infrastructure providers（InPs）can be abstracted into isolated slices and transparently shared by mobile virtual network operators（MVNOs）.In this case,how the MVNOs to share the caching resource in virtualization of 5g cellular networks is one of the most *** this paper,different from previous works,we consider a hierarchical caching architecture that core network and radio access network（RAN）have the caching capability in 5g networks with ***,the problem of hierarchical caching resource sharing for MVNOs is studied,which is formulated as a competitive game to maximize their expectation revenue based on the oligopoly market *** it is a hard problem to find the optimal solution in the hierarchical caching resource sharing problem,we decompose the optimization problem into two independent caching resource sharing problems in RAN and core network,*** the local optimal solutions are solved and the global Nash equilibrium solution is ***,simulation results are illustrated to demonstrate the performance of the proposed scheme.

关键词： Hierarchical Caching Resource Sharing game Theory Oligopoly Market Model 5g networks

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Computers, Materials & Continua 2023年第12期77卷 3723-3740页

作者： Doaa Sami Khafaga Zongming Lv Imran Khan Shebnam M.Sefat Amel Ali Alhussan Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia School of Information and Finance Xuancheng Vocational&Technical CollegeXuancheng242000China Department of Electrical Engineering University of Engineering and TechnologyP.O.Box 814PeshawarPakistan Islamic University Centre for Scientific Research The Islamic UniversityNajafIraq Department of Computer Science Independent UniversityDhaka1208Bangladesh

With the capacities of self-learning,acquainted capacities,high-speed looking for ideal arrangements,solid nonlin-ear fitting,and mapping self-assertively complex nonlinear relations,neural systems have made incredible advances and accomplished broad application over the final *** one of the foremost conspicuous methods for fake insights,neural systems are growing toward high computational speed and moo control *** to the inborn impediments of electronic gadgets,it may be troublesome for electronic-implemented neural systems to make the strides these two exhibitions *** neural systems can combine optoelectronic procedures and neural organization models to provide ways to break the *** paper outlines optical neural networks of feedforward repetitive and spiking models to give a clearer picture of history,wildernesses,and future optical neural *** framework demonstrates neural systems in optic communication with the serial and parallel *** graphene-based laser structure for fiber optic communication is *** comparison of different balance plans for photonic neural systems is made within the setting of hereditary calculation and molecule swarm *** expansion,the execution comparison of routine photonic neural,time-domain with and without extending commotion is additionally *** challenges and future patterns of optical neural systems on the growing scale and applications of in situ preparing nonlinear computing will hence be uncovered.

关键词： Optoelectronics 5g networks free-space optical transducer neural networks

Power Allocation in NOMA-CR for 5g Enabled IoT networks

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Computers, Materials & Continua 2022年第9期72卷 5515-5530页

作者： Mohammed Basheri Mohammad Haseeb Zafar Imran Khan Department of Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia Cardiff School of Technologies Cardiff Metropolitan UniversityCardiffCF52YBUK Department of Electrical Engineering University of Engineering&TechnologyPeshawar25120Pakistan

In the power domain,non-orthogonal multiple access(NOMA)supports multiple users on the same time-frequency resources,assigns different transmission powers to different users,and differentiates users by user channel ***-user signals are superimposed and transmitted in the power domain at the transmitting end by actively implementing controllable interference information,and multi-user detection algorithms,such as successive interference cancellation(SIC)is performed at the receiving end to demodulate the necessary user *** contrast to the orthogonal transmission method,the non-orthogonal method can achieve higher spectrum ***,it will increase the receiver *** the development of microelectronics technology,chip processing capabilities continue to increase,laying the foundation for the practical application of non-orthogonal transmission *** NOMA,different users are differentiated by different power ***,the power allocation has a considerable impact on the NOMA system *** address this issue,the idea of splitting power into two portions,intra-subbands and intersubbands,is proposed in this study as a useful ***,such optimization problems are solved using proportional fair scheduling and water-filling ***,the error propagation was modeled and analyzed for the residual *** proposed technique effectively increased the system throughput and performance under various operating settings according to simulation findings.A comparison is performed with existing algorithms for performance evaluation.

关键词： NOMA wireless networks power domain 5g networks

Optimal Resource Allocation for NOMA Wireless networks

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Computers, Materials & Continua 2023年第2期74卷 3249-3261页

作者： Fahad R.Albogamy M.A.Aiyashi Fazirul Hisyam Hashim Imran Khan Bong Jun Choi Turabah University College Computer Sciences ProgramTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Mathematics Jazan UniversityJazanP.O.Box 218Saudi Arabia Department of Computer and Communication Systems Engineering Faculty of EngineeringUniversiti Putra Malaysia(UPM)43400SerdangMalaysia Department of Electrical Engineering University of Engineering and Technology PeshawarP.O.Box 814Pakistan School of Computer Science and Engineering Soongsil UniversitySeoulKorea

The non-orthogonal multiple access(NOMA)method is a novel multiple access technique that aims to increase spectral efficiency(SE)and accommodate enormous user ***-user signals are superimposed and transmitted in the power domain at the transmitting end by actively implementing controllable interference information,and multi-user detection algorithms,such as successive interference cancellation(SIC),are performed at the receiving end to demodulate the necessary user *** its basic signal waveform,like LTE baseline,could be based on orthogonal frequency division multiple access(OFDMA)or discrete Fourier transform(DFT)-spread OFDM,NOMA superimposes numerous users in the power *** contrast to the orthogonal transmission method,the nonorthogonal method can achieve higher spectrum ***,it will increase the complexity of its *** power allocation techniques will have a direct impact on the system’s *** a result,in order to boost the system capacity,an efficient power allocation mechanism must be *** research developed an efficient technique based on conjugate gradient to solve the problem of downlink power *** major goal is to maximize the users’maximum weighted sum *** suggested algorithm’s most notable feature is that it converges to the global optimal *** compared to existing methods,simulation results reveal that the suggested technique has a better power allocation capability.

关键词： Non-orthogonalmultiple access wireless networks power domain 5g networks