Energy-efficient resource allocation algorithm for massive MIMO OFDMA downlink system by Ying HU, Bao-feng JI, Yong-ming HUANG, Fei YU, Lv-xi YANG

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Wide area cooperative resource allocation algorithm for shortwave communication access network by Guojun LI, Xu HOU, Changrong YE, Yiping LUO

“…Aiming at the problem that short-wave point-to-point communication was not reliable enough to meet the actual needs, a wide area cooperative resource allocation algorithm based on shortwave communication access network was proposed.The reliability of the shortwave communication was improved by invoking multiple stations to coordinately guarantee users from different channels.The resource allocation problem was decomposed into two sub-problems of channel and station matching and station allocation.Firstly, the maximum expected success rate matching model was established to match the channel and the station, and the stations allocated to the channel were combined into different guarantee schemes.Then, the fuzzy analytic hierarchy process and the entropy weight method were used to obtain the subjective and objective scores of the scheme, and the optimal scheme was selected through fusion of evidence reasoning.The results show that the proposed algorithm can effectively improve the success rate of shortwave communication and has good adaptability.…”
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Resource allocation algorithm based on the multi-relay decoding-and-forwarding in OFDM system by Tao GUO, Youming LI, Ting LI, Yuzhi YAN

“…For the rate maximization problem in OFDM decode-and-forward relay system，a resource allocation algorithm based on the multi-relay forwarding was proposed. …”
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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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Research on heterogeneous radio access and resource allocation algorithm in vehicular fog computing by Kai XIONG, Supeng LENG, Ke ZHANG, Hao LIU

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Research on resource allocation algorithm of centralized and distributed Q-learning in machine communication by Yunhe YU, Jun SUN

“…Under the premise of ensuring partial machine type communication device (MTCD)’s quality of service (QoS) requirements, the resource allocation problem was studied with the goal of maximizing system throughput in the massive machine type communication (mMTC) scenario.Two resource allocation algorithms based on Q-learning were proposed: centralized Q-learning algorithm (team-Q) and distributed Q-learning algorithm (dis-Q).Firstly, taking into account MTCD’s geographic location and multi-level QoS requirements, a clustering algorithm based on cosine similarity (CS) was designed.In the clustering algorithm, multi-dimensional vectors that represent MTCD and data aggregator (DA) were constructed, and MTCDs can be grouped according to the CS value between multi-dimensional vectors.Then in the MTC network, the team-Q learning algorithm and dis-Q learning algorithm were used to allocate resource blocks and power for the MTCD.In terms of throughput performance, team-Q and dis-Q algorithms have an average increase of 16% and 23% compared to the dynamic resource allocation algorithm and the greedy algorithm, respectively.In terms of complexity performance, the dis-Q algorithm is only 25% of team-Q algorithm and even below, the convergence speed is increased by nearly 40%.…”
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Network slicing resource allocation algorithm based on bipartite graph matching in smart grids by Weiwei XIA, Yifei XIN, Dong LIANG, Jun WU, Xin WANG, Feng YAN, Lianfeng SHEN

“…To solve the problem of simultaneously satisfying the quality of service requirements of multiple types of services in smart grids and considering the economic utility of power terminals and network side, a network slicing resource allocation algorithm based on bipartite graph matching was proposed.For the control and collection services in smart grids, the corresponding bidding information was formulated for the power terminals, and the payment price and utility matrix were calculated accordingly.The resource allocation between the network slices and the power terminals was modeled as a bipartite graph matching problem.Different slicing resources were allocated to the terminals according to the latency, transmission rate, or energy consumption requirements of different services to maximize the system utility.Simulation results show that the proposed algorithm is able to improve the system utility by 10%～20% compared to the existing double auction algorithm and greedy algorithm.…”
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Resource allocation algorithm for multi-beam LEO satellite based on decision performance evaluation by WANG Chaowei, PANG Mingliang, WANG Su, ZHAO Lingli, GAO Feifei, CUI Gaofeng, WANG Weidong

“…To address challenges such as co-frequency interference, spectrum scarcity, and uneven traffic distribution in multi-beam LEO satellites, a resource allocation algorithm based on decision performance evaluation was proposed. …”
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Research on resource allocation algorithm in D2D networks based on alliance game by Chen Yujie, Ma Caihong

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A distributed CRN resource allocation algorithm based on CBR and cooperative Q-learning by Lin XU, Zhijin ZHAO

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Cellular-free RAN slicing resource allocation algorithm based on multi-timescale collaboration by XIA Weiwei, WANG Boye, XIA Yaxing, MIAO Weiwei, WANG Dayang, JING Dongsheng, YAN Feng, SHEN Lianfeng

“…To address the issue of ensuring user quality of service in resource allocation for 6G cell-free radio access network slicing under dynamic service variations, a resource allocation algorithm based on multi-timescale collaborative optimization was proposed. …”
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Joint user association and dynamic resource allocation algorithm for LEO-RAN slicing scenarios by Geng CHEN, Zhiwei XING, Fei SHEN, Qingtian ZENG

“…A joint user association and dynamic resource allocation algorithm was proposed for the slicing scenario of ultra dense low earth orbit-radio access network (LEO-RAN) in order to address the efficient utilization of resources of the integrated terrestrial-satellite network for 6G .Considering the constraints of the minimum rate, maximum delay and resource proportion of different slices, a joint optimization problem of user association and resource allocation was established to maximize the weighted sum of the SE and the differentiated SLA of different slices as the optimization objective.A network slicing algorithm based on multi-agent deep deterministic policy gradient (MADDPG) was proposed to determine the proportion of slicing resources, a Lagrange dual based user association algorithm was proposed to determine the optimal user association policy and the resources were allocated to users by using the round-robin scheduling mechanism.The simulation results show that the proposed algorithm can effectively improve SE while satisfying the differentiated SLA of different slices.Compared with MADDPG-RA, MATD3-LG, MATD3-RA, MASAC-LG and MASAC-RA algorithms, the system utility of the proposed algorithm is improved by 2.0%, 2.3%, 5.7%, 8.7% and 9.4%, respectively.…”
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A distributed CRN resource allocation algorithm based on CBR and cooperative Q-learning by Lin XU, Zhijin ZHAO

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Joint user association and dynamic resource allocation algorithm for LEO-RAN slicing scenarios by Geng CHEN, Zhiwei XING, Fei SHEN, Qingtian ZENG

“…A joint user association and dynamic resource allocation algorithm was proposed for the slicing scenario of ultra dense low earth orbit-radio access network (LEO-RAN) in order to address the efficient utilization of resources of the integrated terrestrial-satellite network for 6G .Considering the constraints of the minimum rate, maximum delay and resource proportion of different slices, a joint optimization problem of user association and resource allocation was established to maximize the weighted sum of the SE and the differentiated SLA of different slices as the optimization objective.A network slicing algorithm based on multi-agent deep deterministic policy gradient (MADDPG) was proposed to determine the proportion of slicing resources, a Lagrange dual based user association algorithm was proposed to determine the optimal user association policy and the resources were allocated to users by using the round-robin scheduling mechanism.The simulation results show that the proposed algorithm can effectively improve SE while satisfying the differentiated SLA of different slices.Compared with MADDPG-RA, MATD3-LG, MATD3-RA, MASAC-LG and MASAC-RA algorithms, the system utility of the proposed algorithm is improved by 2.0%, 2.3%, 5.7%, 8.7% and 9.4%, respectively.…”
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A resource allocation algorithm based on improved salp swarm algorithm in cognitive smart grid by SHEN Hongting

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A Resource Allocation Algorithm Based on Subcarrier Pairing in Multi-User Cooperative Relay Communication by Bin Chen, Youming Li, Tao Guo, Peng Lei, Xiaoqing Liu

“…For the power minimization problem in multi-user cooperative relay communications,a resource allocation algorithm based on joint subcarrier pairing and assignment was proposed.Firstly,according to the average channel gain and the target rates of user,the assignment of subcarrier numbers was addressed.Then,in order to choose the subcarrier with best channel condition,a multi-user iterative algorithm for joint subcarrier pairing and assignment was proposed,which could achieve the subcarrier pairing in the cooperative transmissions and virtual pairing in the direct transmission,respectively.Finally,the power allocation was conducted by the water-filling algorithm,so that each user could use the minimum power for transmission.The simulation results indicate that the proposed algorithm can conduct subcarrier pairing and assignment effectively to minimize the total transmission power while meeting the users' target rate requirement.…”
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Graph-based D2D communication resource allocation algorithm in full duplex network by Chunzi SHI, Qi ZHU

“…For full duplex cellular communication scenario,a resource allocation algorithm based on graph coloring was proposed in order to maximize the throughput of the system.Firstly,the Hungarian algorithm was used to pair the upstream cellular users with the downstream cellular users.The pair of cellular users simultaneously used a resource block for uplink and downlink communication; then,under the premise of guaranteeing the quality of service of cellular users,channels were assigned for D2D (device-to-device) users based on graph theory coloring theory.Simulation results show that the algorithm can improve the system throughput and obtain higher spectral efficiency.…”
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Real-Time Resource Allocation Algorithm for the Quasi-Two-Dimensional Mobile Delay/Disrupt Tolerant Networking by Ying Wang, Yonghui Zhang

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Spectral clustering-based energy-efficient resource allocation algorithm in heterogeneous cellular ultra-dense network by Xue WANG, Jing LIU, Jiani SUN, Jizhen ZHANG, Zhihong QIAN

“…In order to solve problems of high power consumption, spectrum shortage and low energy efficiency in the ultra-intensive 5G mobile communication scenario, a resource allocation algorithm based on the maximum energy efficiency for the two-layer heterogeneous cellular non-orthogonal multiple access network was proposed.The original NP-hard optimization problem on the downlink communication link of ultra-dense scene was divided into two subproblem, such as frequency resource allocation and power allocation, which became a deterministic constraint optimization problem.The frequency resource allocation scheme of different user groups was obtained by using base station clustering based on the improved k-means algorithm and users grouping based on spectral clustering algorithm.The fraction of energy efficiency optimization was transformed into a solvable continuous convex optimization problem and power distribution was realized by Dinkelbach method, and the Lagrange multiplier iterative algorithm, respectively.Jointly optimize system energy efficiency in terms of base station clustering, user grouping, resource block allocation and power allocation, which minimized the inter-cluster interference and intra-cluster interference of the base station efficiently.The simulation results show that the proposed algorithm is better on energy efficiency and computational efficiency compared with existing algorithms.…”
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A Low-Complexity Resource Allocation Algorithm for MIMO-OFDMA Multicast Systems with Spectrum-Guarantee Provisioning by Ioannis G. Fraimis, Stavros A. Kotsopoulos

“…We study the important problem of resource allocation for the downlink of Multiple-Input Multiple output (MIMO) Multicast Wireless Systems operating over frequency-selective channels and we propose a low-complexity but efficient resource allocation algorithm for MIMO-enabled OFDMA systems. …”
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