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The Integration Model of Closed-Loop Supply Chain Resource Allocation Considering Remanufacturing

Xiao-qiu Shi,Yan-yan Li,Wei Long

Frontiers of Engineering Management 2016, Volume 3, Issue 2,   Pages 132-135 doi: 10.15302/J-FEM-2016026

Abstract: resource planning which is a resource allocation technology.It is a technology of satisfying both production material supply and resource allocation optimizationallocation model based on autonomous multi-entity.We focus on integration resource allocation model of materials requirement planning and distributionresource planning considering remanufacturing.

Keywords： remanufacturing     supply chain     reverse logistics     resource allocation     integration model    

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Tabu search based resource allocation in radiological examination process execution None

Chun-hua HE

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 3,   Pages 446-458 doi: 10.1631/FITEE.1601802

Abstract: Efficient resource scheduling and allocation in radiological examination process (REP) execution is aevents that occur when resource scheduling and allocation decisions change due to clinical needs.In this paper, a Tabu search based approach is presented to solve the resource scheduling and allocationFor certain parameter combinations, the optimal solution of radiological resource scheduling and allocationis found, while considering the limitations such as routing and resource constraints.

Keywords： Radiological examination process (REP)     Resource scheduling and allocation     Tabu search    

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A Study on Resource Fairness Scheduling Algorithms forthe OFDMA Systems

Zhang Dongmei,Chen Youyun,Cai Yueming

Strategic Study of CAE 2007, Volume 9, Issue 6,   Pages 77-81

Abstract:

The paper studied the radio resource fairness scheduling for OrthogonalAfter deeply analyzing a classical resource scheduling algorithm,  which maximize the worst user

Keywords： OFDMA     radio resource scheduling     sub-carrier allocation     power allocation    

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Resource allocation for physical-layer security in OFDMAdownlinkwith imperfect CSI None

Wei YANG, Jing MAO, Chen CHEN, Xiang CHENG, Liu-qing YANG, Hai-ge XIANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 3,   Pages 398-408 doi: 10.1631/FITEE.1700026

Abstract: We investigate the problem of resource allocation in a downlink orthogonal frequency-division multipleThe problem is formulated as joint power and subcarrier allocation to optimize the maximum-minimum (max-mincomplexity, we propose a two-step suboptimal algorithm that separately performs power and subcarrier allocationFor a given subcarrier assignment, optimal power allocation is achieved by developing an algorithm of

Keywords： Resource allocation     Orthogonal frequency-division multiple access (OFDMA)     Imperfect channel state information    

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Resource allocation for network profit maximization in NOMA-based F-RANs: a game-theoretic approach Research Article

Xueyan CAO, Shi YAN, Hongming ZHANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 10,   Pages 1546-1561 doi: 10.1631/FITEE.2100341

Abstract:

(NOMA) based s (F-RANs) offer high spectrum efficiency, ultra-low delay, and huge network throughput, and this is made possible by edge computing and communication functions of the fog access points (F-APs). Meanwhile, caching-enabled F-APs are responsible for edge caching and delivery of a large volume of multimedia files during the caching phase, which facilitates further reduction in the transmission energy and burden. The need of the prevailing situation in industry is that in NOMA-based F-RANs, energy-efficient , which consists of (CP) and radio (RRA), is crucial for network performance enhancement. To this end, in this paper, we first characterize an NOMA-based F-RAN in which F-APs of caching capabilities underlaid with the radio remote heads serve user equipments via the NOMA protocol. Then, we formulate a problem for maximizing the defined performance indicator, namely network profit, which takes caching cost, revenue, and energy efficiency into consideration. The NP-hard problem is decomposed into two sub-problems, namely the CP sub-problem and RRA sub-problem. Finally, we propose an iterative method and a Stackelberg game based method to solve them, and numerical results show that the proposed solution can significantly improve network profit compared to some existing schemes in NOMA-based F-RANs.

Keywords： Fog radio access network     Non-orthogonal multiple access     Game theory     Cache placement     Resource allocation    

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Combining graph neural network with deep reinforcement learning for resource allocation in computing Research Article

Xueying HAN, Mingxi XIE, Ke YU, Xiaohong HUANG, Zongpeng DU, Huijuan YAO,hanxueying@bupt.edu.cn,yuke@bupt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2024, Volume 25, Issue 5,   Pages 701-712 doi: 10.1631/FITEE.2300009

Abstract: Fueled by the explosive growth of ultra-low-latency and real-time applications with specific computing and network performance requirements, the (CFN) has become a hot research subject. The primary CFN challenge is to leverage network resources and computing resources. Although recent advances in deep reinforcement learning (DRL) have brought significant improvement in network optimization, these methods still suffer from topology changes and fail to generalize for those topologies not seen in training. This paper proposes a (GNN) based DRL framework to accommodate network traffic and computing resources jointly and efficiently. By taking advantage of the generalization capability in GNN, the proposed method can operate over variable topologies and obtain higher performance than the other DRL methods.

Keywords： Computing force network     Routing optimization     Deep learning     Graph neural network     Resource allocation    

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A many-objective evolutionary algorithm based on decomposition with dynamic resource allocation for irregular Research Articles

Ming-gang Dong, Bao Liu, Chao Jing,jingchao@glut.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 8,   Pages 1119-1266 doi: 10.1631/FITEE.1900321

Abstract: The multi-objective optimization problem has been encountered in numerous fields such as high-speed train head shape design, overlapping community detection, power dispatch, and unmanned aerial vehicle formation. To address such issues, current approaches focus mainly on problems with regular Pareto front rather than solving the . Considering this situation, we propose a many-objective evolutionary algorithm based on decomposition with (MaOEA/D-DRA) for irregular optimization. The proposed algorithm can dynamically allocate computing resources to different search areas according to different shapes of the problem’s Pareto front. An evolutionary population and an are used in the search process, and information extracted from the is used to guide the evolutionary population to different search regions. The evolutionary population evolves with the to decompose a problem into several subproblems, and all the subproblems are optimized in a collaborative manner. The is updated with the method of . The proposed algorithm is compared with five state-of-the-art many-objective evolutionary algorithms using a variety of test problems with . Experimental results show that the proposed algorithm outperforms these five algorithms with respect to convergence speed and diversity of population members. By comparison with the weighted-sum approach and penalty-based boundary intersection approach, there is an improvement in performance after integration of the into the proposed algorithm.

Keywords： Many-objective optimization problems     Irregular Pareto front     External archive     Dynamic resource allocation    

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Joint uplink and downlink resource allocation for low-latency mobile virtual reality delivery in fog Research Article

Tian DANG, Chenxi LIU, Xiqing LIU, Shi YAN,tiandang@bupt.edu.cn,chenxi.liu@bupt.edu.cn,liuxiqing@bupt.edu.cn,yanshi01@bupt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 1,   Pages 73-85 doi: 10.1631/FITEE.2100308

Abstract: Fog radio access networks (F-RANs), in which the fog access points are equipped with communication, caching, and computing functionalities, have been anticipated as a promising architecture for enabling virtual reality (VR) applications in wireless networks. Although extensive research efforts have been devoted to designing efficient strategies for realizing successful mobile VR delivery in downlink, the equally important problem of mobile VR delivery in uplink has so far drawn little attention. In this work, we investigate a mobile VR F-RAN delivery framework, where both the uplink and downlink transmissions are considered. We first characterize the of the system, which reveals its dependence on the communication, caching, and computation s. Based on this information, we propose a simple yet efficient algorithm to minimize the , while satisfying the practical constraints on caching, computation capability, and transmission capacity in the uplink and downlink. Numerical results show that our proposed algorithm can effectively reduce the compared with various baselines, and the impacts of communication, caching, and computing resources on latency performance are illustrated.

Keywords： Virtual reality delivery     Fog radio access network (F-RAN)     Round-trip latency     Resource allocation    

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Dynamic user-centric multi-dimensional resource allocation for a wide-area coverage signaling cell based Research Article

Zhou TONG, Na LI, Huimin ZHANG, Quan ZHAO, Yun ZHAO, Junshuai SUN, Guangyi LIU,tongzhou@chinamobile.com,linawx@chinamobile.com,zhanghuiminyjy@chinamobile.com

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 1,   Pages 154-163 doi: 10.1631/FITEE.2200220

Abstract: radio access networks, and has the advantages of reducing network energy consumption and improving resourcethe ultimate performance requirements of users, and its effect will affect the efficiency of network resourceThis paper constructs a user-centric dynamic allocation model of wireless resources, and proposes a deepQ-network based dynamic resource allocation algorithm.

Keywords： 6G     Wide-area coverage signaling cell     Multi-dimensional resource allocation     Deep Q-network (DQN)    

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Cost-effective resource segmentation in hierarchical mobile edge clouds Special Feature on Future Network-Research Article

Ming-shuang JIN, Shuai GAO, Hong-bin LUO, Hong-ke ZHANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 9,   Pages 1209-1220 doi: 10.1631/FITEE.1800203

Abstract: The fifth-generation (5G) network cloudification enables third parties to deploy their applications (e.g., edge caching and edge computing) at the network edge. Many previous works have focused on specific service strategies (e.g., cache placement strategy and vCPU provision strategy) for edge applications from the perspective of a certain third party by maximizing its benefit. However, there is no literature that focuses on how to efficiently allocate resources from the perspective of a mobile network operator, taking the different deployment requirements of all third parties into consideration. In this paper, we address the problem by formulating an optimization problem, which minimizes the total deployment cost of all third parties. To capture the deployment requirements of the third parties, the applications that they want to deploy are classified into two types, namely, computation-intensive ones and storage-intensive ones, whose requirements are considered as input parameters or constraints in the optimization. Due to the NP-hardness and non-convexity of the formulated problem, we have designed an elitist genetic algorithm that converges to the global optimum to solve it. Extensive simulations have been conducted to illustrate the feasibility and effectiveness of the proposed algorithm.

Keywords： Edge clouds     Edge computing     Edge caching     Resource segmentation     Virtual machine (VM) allocation    

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Efficiency measurement for mixed two-stage nonhomogeneous network processes with shared extra intermediate resources

Qingxian AN, Xuyang LIU, Shijie DING

Frontiers of Engineering Management 2020, Volume 7, Issue 2,   Pages 259-274 doi: 10.1007/s42524-019-0080-x

Abstract: Unreasonable allocation of shared resources reduces the system efficiency and is a considerable operationalThis method aims to reasonably define the allocation portion of shared extra intermediate resources among

Keywords： shared resource allocation     mixed two-stage system     data envelopment analysis     efficiency    

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Development Strategy of Phosphate Rock in China Under Global Allocation of Resources

Cui Rongguo , Zhang Yanfei , Guo Juan , Guo Zhenhua , Xiao Yuping

Strategic Study of CAE 2019, Volume 21, Issue 1,   Pages 128-132 doi: 10.15302/J-SSCAE-2019.01.018

Abstract: At the same time, the relation between the status quo and demand of the phosphate rock resource is analyzedstrict control over domestic production capacity and limit production, and make the best of the global allocation

Keywords： phosphate rock     nonrenewable     phosphate fertilizer     cumulative demand     shortage resource    

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Efficient Utilization and Optimal Allocation of Agricultural Water Resources in the Yellow River Basin

Zhao Ying,Wang Haixia,Wang Yi,Niu Zhongen,Hu Qiuli,Zhao Fen,Suo Lizhu,Xu Zhenghe,Chen Xiaobing

Strategic Study of CAE 2023, Volume 25, Issue 4,   Pages 158-168 doi: 10.15302/J-SSCAE-2023.04.013

Abstract: high-quality development in the Yellow River Basin, it is significant to improve the use efficiency and allocationBased on the theories and technologies for the optimal allocation of water resources in the process offarmlands and investigates the challenges faced in terms of water use efficiency improvement, optimal allocationThis study reviews the agricultural water-saving and water resource allocation capabilities of theRiver Basin from a water cycle perspective and is expected to provide basic support for the optimal allocation

Keywords： Basin     agricultural water and soil resources     eco-hydrological process     water use efficiency     water resourceallocation    

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Achieving air pollutant emission reduction targets with minimum abatement costs: An enterprise-level allocation

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 2, doi: 10.1007/s11783-021-1459-6

Abstract:

• Quantification of efficiency and fairness of abatement allocation

Keywords： Pollutant emission reduction allocation     Emission reduction measures     Total abatement cost     Economic    

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A holistic approach for evaluating ecological water allocation in the Yellow River Basin of China

YANG Zhifeng, CUI Baoshan, CHEN He

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 1,   Pages 99-106 doi: 10.1007/s11783-007-0019-z

Abstract: The characteristics and sustainable management of water resources on a basin scale require that they should be managed using a holistic approach. In this study, a holistic methodology called the holistic approach in a basin scale (HABS) is proposed to determine the ecological water requirements of a whole basin. There are three principles in HABS. First, ecological water requirements in a basin scale indicate not only the coupling of hydrological and ecological systems, but also the exchange of matter and energy between each ecological type through all kinds of physical geography processes. Second, ecological water requirements can be divided into different types according to their functions, and water requirements of different types are compatible. Third, ecological water requirements are related to a multiple system including water quality, water quantity, and time and space, which interact with each other. The holistic approach in a basin scale was then used in the Yellow River Basin and it suggested that 265.0 × 10 m of water, 45% of the total surface water resources, should be allocated to ecological systems, such as rivers, lakes, wetlands and cities, to sustain its function and health. The ecological water requirements of inside river systems and outside river systems were respectively 261.0 × 10 and 3.65 × 10 m.
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Title Author Date Type Operation

The Integration Model of Closed-Loop Supply Chain Resource Allocation Considering Remanufacturing

Xiao-qiu Shi,Yan-yan Li,Wei Long

Journal Article

Tabu search based resource allocation in radiological examination process execution

Chun-hua HE

Journal Article

A Study on Resource Fairness Scheduling Algorithms forthe OFDMA Systems

Zhang Dongmei,Chen Youyun,Cai Yueming

Journal Article

Resource allocation for physical-layer security in OFDMAdownlinkwith imperfect CSI

Wei YANG, Jing MAO, Chen CHEN, Xiang CHENG, Liu-qing YANG, Hai-ge XIANG

Journal Article

Resource allocation for network profit maximization in NOMA-based F-RANs: a game-theoretic approach

Xueyan CAO, Shi YAN, Hongming ZHANG

Journal Article

Combining graph neural network with deep reinforcement learning for resource allocation in computing

Xueying HAN, Mingxi XIE, Ke YU, Xiaohong HUANG, Zongpeng DU, Huijuan YAO,hanxueying@bupt.edu.cn,yuke@bupt.edu.cn

Journal Article

A many-objective evolutionary algorithm based on decomposition with dynamic resource allocation for irregular

Ming-gang Dong, Bao Liu, Chao Jing,jingchao@glut.edu.cn

Journal Article

Joint uplink and downlink resource allocation for low-latency mobile virtual reality delivery in fog

Tian DANG, Chenxi LIU, Xiqing LIU, Shi YAN,tiandang@bupt.edu.cn,chenxi.liu@bupt.edu.cn,liuxiqing@bupt.edu.cn,yanshi01@bupt.edu.cn

Journal Article

Dynamic user-centric multi-dimensional resource allocation for a wide-area coverage signaling cell based

Zhou TONG, Na LI, Huimin ZHANG, Quan ZHAO, Yun ZHAO, Junshuai SUN, Guangyi LIU,tongzhou@chinamobile.com,linawx@chinamobile.com,zhanghuiminyjy@chinamobile.com

Journal Article

Cost-effective resource segmentation in hierarchical mobile edge clouds

Ming-shuang JIN, Shuai GAO, Hong-bin LUO, Hong-ke ZHANG

Journal Article

Efficiency measurement for mixed two-stage nonhomogeneous network processes with shared extra intermediate resources

Qingxian AN, Xuyang LIU, Shijie DING

Journal Article

Development Strategy of Phosphate Rock in China Under Global Allocation of Resources

Cui Rongguo , Zhang Yanfei , Guo Juan , Guo Zhenhua , Xiao Yuping

Journal Article

Efficient Utilization and Optimal Allocation of Agricultural Water Resources in the Yellow River Basin

Zhao Ying,Wang Haixia,Wang Yi,Niu Zhongen,Hu Qiuli,Zhao Fen,Suo Lizhu,Xu Zhenghe,Chen Xiaobing

Journal Article

Achieving air pollutant emission reduction targets with minimum abatement costs: An enterprise-level allocation

Journal Article

A holistic approach for evaluating ecological water allocation in the Yellow River Basin of China

YANG Zhifeng, CUI Baoshan, CHEN He

Journal Article