Real-Time Resource Allocation Algorithm for the Quasi-Two-Dimensional Mobile Delay/Disrupt Tolerant Networking by Ying Wang, Yonghui Zhang

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Proportional fairness based resource allocation algorithm for dirty-paper coded multi-user MIMO-OFDM systems by ZHAO Yi, LIU Yuan-an, ZENG Ling-kang, XIE Gang, XIONG Fang

“…A novel resource allocation algorithm was proposed for dirty-paper coded multi-user multiple-input multi-ple-output （MIMO）-orthogonal frequency division multiplexing （OFDM） systems. …”
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Dynamic priority-based task scheduling and adaptive resource allocation algorithms for efficient edge computing in healthcare systems by J. Anand, B. Karthikeyan

“…By implementing dynamic priority-based task scheduling and adaptive resource allocation algorithms, our methodology enhances the handling of resource requests between end devices, edge nodes (ENs), and the cloud. …”
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Systems resource allocation algorithm for RIS-assisted D2D secure communication based on parallel CNN by Zhengyu ZHU, Gengwang HOU, Chongwen HUANG, Gangcan SUN, Wanming HAO, Jing LIANG

“…To meet the requirements of intelligent signal processing and physical layer security, aiming at the shortage of spectrum resources, a resource allocation algorithm for reconfigurable intelligent surface (RIS)-assisted the device to device (D2D) communication was proposed.D2D users communicated by multiplexing the spectrum resources of cellular users.Considering the constraints of D2D transmission rate, base station transmission power and RIS transmission phase shift, the problem of maximizing user security rate was formulated.To solve the nonlinear programming problem, a parallel convolutional neural network (CNN) algorithm was proposed to obtain the optimal resource allocation scheme.Simulation results show that the parallel CNN algorithm can effectively improve the secrecy rate and it is significantly better than other benchmark algorithms.…”
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Machine Learning-Based Resource Allocation Algorithm to Mitigate Interference in D2D-Enabled Cellular Networks by Md Kamruzzaman, Nurul I. Sarkar, Jairo Gutierrez

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An Improved Soft Actor–Critic Task Offloading and Edge Computing Resource Allocation Algorithm for Image Segmentation Tasks in the Internet of Vehicles by Wei Zou, Haitao Yu, Boran Yang, Aohui Ren, Wei Liu

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Research on the generalized utility max-min fair algorithm based on piecewise linear function by XU Tong, LIAO Jian-xin

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Multi-domain optical network virtual technology based on SDN by Shidong LIU, Pan WANG

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Optimization Allocation of Resources for Massive Manufacturing Service Requests by ZHANG Hong-guo, SHI Yan-lei, MA Chao, ZHANG Shu-li, LIU Sheng-hui

“…On the basis of this, a manufacturing service resources allocation algorithm based on correlated region is proposed so as to ensure the equal distribution of manufacturing service resources in temporal dimensions, and then to improve the efficiency of the global optimization of the manufacturing service resources in the case of limited resources. …”
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Task Similarity-Aware Cooperative Computation Offloading and Resource Allocation for Reusable Tasks in Dense MEC Systems by Hanchao Mu, Shie Wu, Pengfei He, Jiahui Chen, Wenqing Wu

“…., task offloading, resource allocation, and power allocation, which are solved using a similarity-based matching offloading algorithm, a cooperative-based resources allocation algorithm, and a concave–convex procedure (CCCP)-based power allocation algorithm, respectively. …”
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Service aware base station processing resource allocation for centralized radio access network by Xinping ZHANG, Yuanyuan WANG, Lin TIAN, Shuliang HAO

“…Current research on resource allocation algorithmsmainly focuses on data centers,and cloud computing environments.These resource allocation algorithms did not consideRthe diversity of processing resources(CPU,memory,network bandwidth,FPGA,DSP)and the diversity of service types in the centralized base station,resulting in the low processing resource utilization.In ordeRto solve this problem,a service oriented base station processing resource allocation algorithm was proposed.Firstly,the Fisher partitionmethod was used to classify the base station’s processing resource requirements according to the user’s service request.Then,the resource allocation balancing strategy was used to allocate the base station processing resources.Experimental results show that the algorithm is effective to reduce the number of physi cal servers and improves the resource utilization of the servers,realizing energy conservation and communications.…”
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Energy-efficient optimal algorithm based on uplink multi-user very large MIMO system by UYing H, IBao-feng J, UANGYong-ming H, UFei Y, ANGLV-xi Y

“…Using the energy efficiency lower bound as the optimization criterion,a resource allocation algorithm was investigated under uplink multi-user very large MIMO systems.Specifically,both the number of antenna arrays at the BS and the transmit data rate at the user are adjusted to maximize the energy efficiency,in which the power consumption accounts for both transmit power and circuit power,meanwhile the BS uses a zero forcing(ZF) receiver.The existence of a unique globally optimal resource allocation solution was demonstrated by exploiting the properties of objective function.Furthermore,by transforming the originally fractional optimization problem into an equivalent subtractive form using the properties of fractional programming,an iterative resource allocation algorithm was developed to achieve the optimum was developed.Simulation results show that the algorithm converge to a near optimal solution only with a small number of iterations.…”
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A survey on resource allocation in backscatter communication networks by Yongjun XU, Haoke YANG, Yinghui YE, Qianbin CHEN, Guangyue LU

“…With the development of Internet of things (IoT) technology, wireless networks have the characteristics of massive user access, high power consumption, and high capacity requirements.In order to meet the transmission requirements and reduce energy consumption, backscatter communication technology was considered to be one of the most effective solutions to the above problems.In the fact of complex network scenarios, the improvement of spectrum efficiency, system capacity, and energy management has become an urgent problem of resource allocation areas in backscatter communications.For this problem, resource allocation algorithms in backscatter communications were surveyed.Firstly, the basic concept and different network architectures of backscatter communication were introduced.Then, resource allocation algorithms in backscatter communication networks were analyzed according to different network types, optimization objectives, and the number of antennas.Finally, the challenges and future research trends of resource allocation problems in backscatter communication networks were prospected.…”
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Dynamic resource allocation scheme for multiuser OFDM–UWB systems based on user's rate by Chao CHENG, Zhi-hong QIAN, Chun-lan LI, Xue WANG

“…According to original dynamic resource allocation algorithms,a new dynamic resource allocation algorithm for multiuser OFDM-UWB system based on users'rates was proposed to minimize the total transmitting power whil sa-tisfy requests for QoS and data rate of all users.Qual ty of the system was improved running the subcarrier allocation and bit allocation algorithms based on fairness of users.In subcarrier allocation process,rate impact factor was used to com-pare influence of different subcarriers to a user.In allocation process,bits were allocated to each user's subcarriers first,then bits on each subcarriers were adjusted according to rate request of each user.In or to reduce the complexity system of the furthermore,a subcarrier and bit allocation scheme is employed through subcarrier grouping.Simulation results indicate that the algorithm can lower power consume,BER and operation complexity.…”
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Power Allocation Technology of Long Time Multi-Star Hopping Beam for LEO Satellite by Ziyi LIU, Xiaoning ZHANG, Zesong FEI

“…LEO satellites have superior development prospects due to their low cost, low latency and small path loss, and are widely used in IoT, B5G and other fields.For the LEO satellite and its coverage area will be in a moving state, a convex optimization-based long-time multi-star beam hopping power allocation algorithm was proposed to maximize the system capacity.Focused on the multi-star hopping beam scenario over a period of time, a system model was developed based on the long-time co-orbital multi-star hopping beam scenario and the long-time heterodyne multi-star hopping beam scenario respectively.The resource allocation algorithm was designed for the two long-time multi-star hopping beams with the weighted objective function as the optimization objective, considered the influence factors of inter-star interference, load balancing and inter-star resource allocation priority, a long-time skipping beam resource allocation algorithm based on convex optimization was proposed.The simulation results showed that the proposed scheme could improve the resource utilization of the system compared with the conventional schemes.…”
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Resource Allocation of Multi-Satellite Beam Hopping Technology Based on System Capacity Maximization by Qing SHU, Xiaoning ZHANG, Zesong FEI

“…Unlike medium and high earth orbit satellites, LEO satellites have the characteristics of small path loss, low propagation delay and high deployment fl exibility.LEO satellites are widely used in real time services, global internet of things, emergency communication and other fi elds.In order to solved the problems of large diff erences in service demand distribution of terrestrial users and low resource utilization in LEO satellite communication systems, a resource allocation algorithm of LEO multi-satellite beam hopping technology based on convex optimization was proposed, which aimed to maximized the system capacity.For multisatellite beam hopping scenarios in LEO satellite communication system, the beam-hopping technology could fl exibly allocated system resources accorded to user needs.Considered the factor of co-channel interference, the service region division scheme based on load balancing and the inter-satellite resource allocation priority scheme was proposed.In order to improved system capacity and resource utilization, it jointly designed a time and power resource allocation algorithm based on convex optimization.The simulation results showed that the proposed scheme could eff ectively reduced co-channel interference and realized the ondemand allocation of system capacity without causing waste of resources.…”
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Tasmanian devil whale optimization (TDWO) is introduced for secure video transmission in 5G networks. by Fengren Lin, Minrong Lu

“…The experimental results prove that the TDWO resource allocation algorithm yields significant experimental outcomes, with throughput, bit error rate (BER), QoE and fitness values of 25.557 Mbps, 0.021, 18.332 and 0.013, respectively.…”
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End-to-end throughput evaluation model and optimization method for dual-mode mesh network by SU Zhan, WEN Bo, ZHU Xiaorong

“…The proposed resource allocation algorithm improves throughput by 10% compared with traditional resource allocation algorithms. …”
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Evaluating the Efficiency of Gray Wolf Optimization and Colonial Competition Algorithm in Load Balancing of Distributed Systems by Asghar Molaei-Yeznabad, Amirhossein Dehghani

“…Recent years have seen the development of numerous resource allocation algorithms aimed at reducing costs and energy consumption in distributed systems. …”
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Using random subcarrier weighting for multi-carrier systems physical layer security by Zhou ZHONG, Liang JIN, Kai-zhi HUANG

“…An OFDM security model and a physical layer security transmission scheme were proposed for multi-carrier systems to achieve low probability of interception.In contrast to the resource allocation algorithm which would be disabled at the low SNR,this method designed the subcarrier transmission weighting vectors to randomize the eavesdropper’s signals but not the authorized receiver’s signals.The channel state information was the only character to distinguish authorized receivers and eavesdroppers,which was conducted to guide the weighting vectors design.Simulation results show that the proposed method guarantees that authorized receiver performs transmitted reference demodulation successfully,while the eavesdroppers can not detect the transmitted symbols.…”
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