Research on multi-domain collaboration based method of TDD large-scale networking by Xiaoyun WANG, Wei DENG, Long ZHANG, Qi SUN

“…How to maximize the network service capability under the constraints of massive nodes and multi-domainresources is the core problem faced by TDD large-scale networking.The method of TDD large-scale networking under fully collaborative optimization architecture were innovatively proposed, which could maximize network service capabilities through inter layer and intra layer collaboration among wireless connection layer, signal processing layer and service control layer.Aiming at efficient use of wireless resources, the method of multi-domain conversion in wireless connection layer were put forward, including the principles and mechanism of space-time-frequency-code multi-domain conversion.The results of practical verification in 4G/5G existing network show that the proposed architecture and method of TDD large-scale networking can effectively control the interference while improving utilization of multi-domain resourcesto maximize network capacity.…”
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The Vector-Valued Functions Associated with Circular Cones by Jinchuan Zhou, Jein-Shan Chen

“…These results will play crucial role in designing solution methods for optimization problem involved in circular cone constraints.…”
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Cross-layer scheduling and dynamic resource allocation for MIMO-OFDMA/SDMA systems with multi-service by ZHONG Chong-xian1, LI Chun-guo1, YANG Lv-xi1

“…Cross-layer scheduling and dynamic resource allocation problems were investigated for downlink MIMO-OFDMA/SDMA systems with multi-service.Firstly,a mathematical formulation of the optimization problem was provided with the objective of maximizing the total system throughput under various constraints.Secondly,a user group-ing scheme was proposed utilizing clustering analysis method based on the type of services and the spatial compatibility of multiple users with multiple receive antennas.Thirdly,a new cross-layer scheduling and dynamic resource allocation algorithm was developed based on the proposed user grouping scheme combined with the priorities of different service,which maximizes the total system throughput by maximizing the throughput of each subcarrier.Simulation results show that compared with the existing schemes,the proposed algorithms obtain reasonable throughput performance while provide better QoS requirement for each user of different services.…”
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Research on multi-domain collaboration based method of TDD large-scale networking by Xiaoyun WANG, Wei DENG, Long ZHANG, Qi SUN

“…How to maximize the network service capability under the constraints of massive nodes and multi-domainresources is the core problem faced by TDD large-scale networking.The method of TDD large-scale networking under fully collaborative optimization architecture were innovatively proposed, which could maximize network service capabilities through inter layer and intra layer collaboration among wireless connection layer, signal processing layer and service control layer.Aiming at efficient use of wireless resources, the method of multi-domain conversion in wireless connection layer were put forward, including the principles and mechanism of space-time-frequency-code multi-domain conversion.The results of practical verification in 4G/5G existing network show that the proposed architecture and method of TDD large-scale networking can effectively control the interference while improving utilization of multi-domain resourcesto maximize network capacity.…”
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Linear Precoding for Multiuser Visible-Light Communication With Field-of-View Diversity by Renhai Feng, Mingjun Dai, Hui Wang, Bin Chen, Xiaohui Lin

“…Detailed operation of this precoding method includes two steps: First, with matrix transformation and semi-definite relaxation, the original nonconvex optimization problem is transformed into solvable convex optimization subproblems. …”
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Stealthy graph backdoor attack based on feature trigger by Yang Chen, Zhou Bin, Haixing Zhao

“…This approach effectively removes useless or harmful edges, thereby enhancing the homogeneity of the nodes. Then, BAFT uses optimization constraints to ensure the invisibility of the attack. …”
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ISAC constant modulus waveform design based on multi-target fair sensing by SHI Mingli, LI Xiaohui, LYU Siting

“…By using an alternate optimization algorithm, the coupling of waveform and signal scaling factor variables in constraint conditions was decoupled. …”
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Aerospace Equipment Fault Diagnosis Method Based on Fuzzy Fault Tree Analysis and Interpretable Interval Belief Rule Base by Mingxian Long, Hailong Zhu, Guangling Zhang, Wei He

“…Then, a projection covariance matrix adaptive evolutionary strategy algorithm with an interpretability constraints (IP-CMA-ES) optimization algorithm is used for optimization. …”
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Environmental and Economic Dispatching of Fire-Wind Combined System Based on Improved MOPSO by Li Rongshuai, Du Ruiqi, Lu Yi, Jiang Shan

“…The environmental and economic dispatch of fire-wind combined system aims to minimize the cost and pollution gas emissions by coordinating various generator sets while meeting the constraints. Aiming at the characteristics of this problem, this paper puts forward an environmental and economic dispatching method of fire and wind combined system. …”
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Resource Management Based on Security Satisfaction Ratio with Fairness-Aware in Two-Way Relay Networks by Jun Zhao, Zhaoming Lu, Xiangming Wen, Haijun Zhang, Shenghua He, Wenpeng Jing

“…We model the security resource management problem as a mixed integer programming problem, which is decomposed into three subproblems, distributed power allocation, distributed subchannel allocation, and distributed subchannel pairing, and then solved it in constraint particle swarm optimization (CPSO), binary CPSO (B_CPSO), and classic Hungarian algorithm (CHA) method, respectively. …”
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Three-stage hybrid scheduling method based on link adjustment and arc replacement for large-scale satellite ground station resource scheduling considering idleness rate by Shunyi Cao, Xiaolu Liu, Lei He

“…With the rapid growth of satellite applications and the integration of Tracking, Telemetry, and Command (TTC) and Digital Data Transmission (DDT) devices, large-scale integrated scheduling of heterogeneous tasks has become critical yet challenging due to resource scarcity and complex constraints. This paper addresses the Large-scale Integrated Scheduling Problem of TTC and DDT (LISP-TTC&DDT) which aims to maximize task completion rates and to optimize idleness rate. …”
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Assessing the sustainability of combined heat and power systems with renewable energy and storage systems: Economic insights under uncertainty of parameters. by Emad A Mohamed, Mostafa H Mostafa, Ziad M Ali, Shady H E Abdel Aleem

“…The general algebraic modeling system (GAMS) was utilized to solve the optimization problem. The cost without RES or ESS is $250,954.80, indicating a high reliance on costly energy sources. …”
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Multiple-Input Multiple-Output Synthetic Aperture Radar Waveform and Filter Design in the Presence of Uncertain Interference Environment by Ke Xu, Guohao Sun, Yuandong Ji, Zhiquan Ding, Wenhao Chen

“…Based on the uncertain interference model, we formulate the maximizing SINR as a figure of merit, which is a non-convex quadratic optimization problem under specific waveform constraints. …”
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A Chronic Kidney Disease Diagnostic Model Based on an Interpretable Deep Belief Rule Base by Yawen Zhao, Kexin Zhang, Xiping Duan, Shuping Che, Ning Ma

“…Additionally, it introduces a novel rule reduction method that incorporates expert knowledge to simplify redundant rules in an interpretable way, thus easing the optimization process. To preserve the model’s interpretability, the optimization algorithm includes constraints grounded in expert knowledge. …”
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An edge server placement based on graph clustering in mobile edge computing by Shanshan Zhang, Jiong Yu, Mingjian Hu

“…The model mainly consists of a two-layer graph convolutional network (GCN) component and a differentiable version of K-means clustering component, which transforms the server placement problem into an end-to-end learning optimization problem on a graph. …”
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An interpretable fault diagnosis method for aeroengine bearings based on belief rule based with a dynamic power set by Jinyuan Li, Wei He, Hailong Zhu

“…Second, optimizing the model via the P-CMAES algorithm with interpretability constraints can ensure the interpretability of the model after optimization. …”
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Beamforming Design for Dual-functional Radar-communication Systems with Holographic Metasurface Antennas by Guangyi CHEN, Ruoyu ZHANG, Hong REN, Yue MA, Chen MIAO, Wen WU

“…Considering an HMA-based DFRC system that performs target sensing in a cluttered environment while providing communication services to multiple single-antenna users, this paper formulates an optimization problem to maximize the weighted sum of communication spectral efficiency and radar mutual information, subject to constraints on the transmission power and HMA frequency response. …”
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Secure Beamforming via Amplify-and-Forward Relays in Machine-to-Machine Communications by Zhongjian Liu, Xiaoning Zhang, Lin Bai, Chen Chen, Haige Xiang

“…The secrecy rate maximization problem can be formed into a two-level optimization problem and we solve it using semidefinite relaxation (SDR) techniques. …”
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Robustness Maximization of Parallel Multichannel Systems by Jean-Yves Baudais, Fahad Syed Muhammad, Jean-François Hélard

“…Bit error rate (BER) minimization and SNR-gap maximization, two robustness optimization problems, are solved, under average power and bitrate constraints, according to the waterfilling policy. …”
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Research on Irregular Flight Recovery Based on Air-Rail Spatiotemporal Network Model by Lili Zu, Jingyuan Sun, Zhenlin He, Quan Shao

“…The issue of irregular flight recovery has long been a significant and challenging problem for airlines, necessitating an effective program to develop recovery plans. …”
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