Improved satellite resource allocation algorithm based on DRL and MOP by Pei ZHANG, Shuaijun LIU, Zhiguo MA, Xiaohui WANG, Junde SONG

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An Efficient Resource Allocation Algorithm for Task Offloading in the Internet of Vehicles by Ahmad Salehi, Sadoon Azizi

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Fair Resource Allocation Algorithm for OFDMA System with Imperfect CSI by Yaohui Wu, Youming Li, Liping Jin, Pengfei Shao

“…Existing resource allocation algorithms can't balance system capacity and fairness well when the channel state information is imperfect. …”
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Resource Allocation Algorithm Based on Profit Maximization for Crowd Sensing by Kun Gao, Bin Wang, Xinwu Yu

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Fair Resource Allocation Algorithm for OFDMA System with Imperfect CSI by Yaohui Wu, Youming Li, Liping Jin, Pengfei Shao

“…Existing resource allocation algorithms can't balance system capacity and fairness well when the channel state information is imperfect. …”
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Video semantics-driven resource allocation algorithm in Internet of vehicles by Jiujiu CHEN, Chunyan FENG, Caili GUO, Yang YANG, Qizheng SUN, Meiyi ZHU

“…Aiming at the problem that traditional resource allocation methods will no longer be applicable, with the demand of intelligent computing services such as video semantic understanding in Internet of vehicles, the video semantic driven resource allocation algorithm was studied.First of all, taking the object detection task as an example, a semantic driven resource allocation guidance model for video was proposed and an algorithm for solving model parameters was given.Secondly, an optimization problem of resource allocation driven by video semantics in Internet of vehicles was constructed, which was transformed into a convex problem and solved by convex optimization algorithm.Furthermore, in order to reduce the complexity of the convex optimization algorithm, a resource allocation algorithm based on reinforcement Q learning was proposed.Finally, the performance advantages of the proposed algorithm are verified by simulations.…”
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Robust resource allocation algorithm for heterogeneous wireless networkwith SWIPT by Yongjun XU, Yuan HU, Guoquan LI, Jinzhao LIN, Qianbin CHEN

“…To improve energy efficiency and robustness of heterogeneous wireless networks with wireless information and power transfer,the robust joint transmit power and power splitting resource allocation problem was studied.Based on mini-max probability machine and Dinkelbach method,the original NP-hard problem was transformed into a solvable convex optimization form,meanwhile a distributed dual resource allocation algorithm was proposed.Additionally,both computational complexity and robust sensitivity were analyzed.Simulation results show that the proposed algorithm can guarantee the quality of service requirements of macro cellular users and femtocell users under channel uncertainties.…”
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A Novel Resource Allocation Algorithm for OFDMA System with Proportional Fairness by Yaohui Wu, Youming Li, Pengfei Shao

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Heterogeneous Resource Allocation Algorithm for Ad Hoc Networks with Utility Fairness by Bing-Qing Han, Guo-Fu Feng, Yi-Fei Chen

“…In this paper, a novel heterogeneous resource allocation algorithm (HRA) is presented for ad hoc networks, supporting both elastic and inelastic traffic. …”
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A Novel Resource Allocation Algorithm for OFDMA System with Proportional Fairness by Yaohui Wu, Youming Li, Pengfei Shao

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Robust resource allocation algorithm for multicarrier NOMA security communication system by Yu ZHANG, Xiongwen ZHAO, Xiaoqing WANG, Suiyan GENG, Peng QIN, Zhenyu ZHOU

“…To improve the spectrum efficiency and enhance the information security of wireless network, a sum secrecy rate maximization-based robust resource allocation algorithm was proposed for a downlink multicarrier NOMA security communication system.Firstly, the artificial noise (AN) precoding vector was designed to be orthogonal to the legitimate channel, so that the legitimate transmission would not be affected by the AN.Then, considering the constraints of rate requirement of each user and the maximum transmit power of base station, a joint AN precoding, downlink data precoding and subcarrier allocation optimization problem was formulated under eavesdropping channel uncertainties.To solve that non-convex problem, it was decomposed into two joint optimization subproblems: precoding optimization and subcarrier allocation.The former was solved based on S-procedure and block coordinate descent (BCD) algorithm, the latter was solved by dynamic matching theory.Simulation results demonstrate that the proposed algorithm has good robustness and can effectively improve the sum secrecy rate.…”
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An optimal energy-efficient resource allocation algorithm in ultra-dense network by Yueyue ZHANG, Weiwei XIA, Yaping ZHU, Feng YAN, Xuzhou ZUO, Lianfeng SHEN

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Multi-core Fiber Resource Allocation Algorithm based on Crosstalk and Fragmentation by YANG Haoyu, REN Danping, DENG Yujing, HU Jinhua, ZHAO Jijun

“…【Conclusion】The CA-LF resource allocation algorithm mentioned in the article reduces the generation of fragmentation caused by crosstalk constraints, improves the utilization rate of network resources, and provides a new method for dealing with spectral fragmentation caused by crosstalk in MCFs.…”
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Research on IoV resource allocation algorithm assisted by reconfigurable intelligent surface by Fatang CHEN, Ruofan ZHANG

“…In order to meet the higher requirements of vehicle communication quality and spectral efficiency, a IoV resource allocation algorithm assisted by reconfigurable intelligent surface (RIS) was proposed.The RIS reflection coefficient matrix, power allocation, and spectrum sharing schemes were combined to solve the problem of maximizing the total capacity of V2I link under the condition of ensuring the reliability of V2V link.As this problem was a non-convex optimization problem with highly coupled variables, it was difficult to solve it directly.Therefore, after introducing an analytic expression to approximate the interrupt probability of V2V link, the problem was decomposed into three sub-problems by using the block coordinate descent (BCD) method, and the sub-problems were solved by introducing auxiliary variables, successive convex approximation (SCA), Hungarian algorithm, etc., and then the approximate suboptimal solution of the problem was obtained.Simulation results show that the proposed algorithm has good convergence performance and can effectively improve the total capacity of V2I link.…”
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A User Association and Resource Allocation Algorithm for UAV-Assisted Smart Grid by Jianwei Wei, Yuzhu Lei, Zhiyi Wen, Yongqing Xiao, Pengcheng Ma, Lingtao Sun, Lin Su

“…To further improve the communication capacity of this system, a joint user association and resource allocation algorithm is developed to maximize the total system throughput. …”
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Resource Allocation Algorithm for the Downlink of Multi-User OFDM System with Optimized Fairness by Limei Tang, Haiyan Cao, Jun Li, Shiyi Xie

“…A resource allocation algorithm for the downlink of multi-user OFDM system with optimized fairness was studied. …”
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Multi-dimension resource allocation algorithm based on QoS guarantee in dense WLAN by Qi ZHANG, Lin-jing ZHAO, Jian-dong LI

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Resource Allocation Algorithm for the Downlink of Multi-User OFDM System with Optimized Fairness by Limei Tang, Haiyan Cao, Jun Li, Shiyi Xie

“…A resource allocation algorithm for the downlink of multi-user OFDM system with optimized fairness was studied. …”
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Multi-dimension resource allocation algorithm based on QoS guarantee in dense WLAN by Qi ZHANG, Lin-jing ZHAO, Jian-dong LI

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Virtual Network Resource Allocation Algorithm Based on Load Balance in Carrier-SDN by Li Wang, Jihong Zhao, Hua Qu, Ya Guo

“…Resource allocation algorithm for virtual networks in carrier-SDN based on load balance was proposed.Firstly,multiple-layered model of carrier-SDN was constructed.Secondly,the binaryzation of particle swarm optimization algorithm with the characteristic of virtual network embedding（VNE）algorithm was realized.Finally,load balance was set as optimization object,then the solution of VNE problem was got.The simulation results demonstrate that the proposed algorithm has superior performance in terms of load balance,acceptance ratio and average compared with existing methods.…”
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