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An Economical-Efficient Resource Allocation Scheme for Leo Satellite Communication Systems

An Economical-Efficient Resource Allocation Scheme for Leo S...

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IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)

作者： Ruxin Zhi Yuanyuan Ma Zhan Xu Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing

In this paper, we propose an economical-efficient downlink resource allocation scheme for the low-earth orbit (LEO) satellite communication system with cache-enabled terminals. The broadcast channel model with the incorporation of shadowed Rice fading is adopted and subsequently transformed into a finite-state Markov channel model. Primarily, we deduce the formulation for the attainable channel capacity pertaining to discrete-rate transmission, wherein adaptive modulation and coding are employed. Second, we define an economical efficiency (ECE) metering based on the system revenue and cost and derive the closed-form ECE. Finally, an optimization problem with maximizing the ECE is developed in the terms of transmit power of the satellite, allocation of caching memory, file grouping, and probability falling into each range of the channel state. This problem is nondeterministic polynomial hard (NP-hard) in essence and is thus difficult to solve. For solving it, we first optimize the allocation of caching memory and file grouping. Then, we propose a gradient strategy based heuristic algorithm to acquire the allocation of power and probability in each channel state. The numerical findings substantiate that the proposed scheme presents a substantial enhancement to the ECE of the LEO satellite communication system.

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On the Performance of NOMA Over Coded Caching in Cache-Aided Wireless Network

On the Performance of NOMA Over Coded Caching in Cache-Aided...

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IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)

作者： Yuanyuan Ma Ruxin Zhi Zhan Xu Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing

This paper centers around the examination of a downlink system comprising of a base station (BS) located at the center of a circular cell. Within this cell, we find cache-equipped users uniformly distributed. Our aim is to explore an innovative approach to enhance spectral efficiency by dividing the users into two groups, effectively utilizing the principles of nonorthogonal multiple access (NOMA) and coded caching. Introducing the NOMA over coded caching scheme, we propose a novel method to elevate the service rate. We derive closedform expressions to accurately quantify the performance of NOMA over coded caching in terms of the service rate. Simulation experiments are conducted to validate the superiority of our proposed algorithm. The results demonstrate the remarkable efficacy of the NOMA over coded caching schemes in significantly improving the service rate, surpassing the conventional coded caching and non-encoding caching schemes.

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A survey of abnormal event perception research based on mobile phone location big data

A survey of abnormal event perception research based on mobi...

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2020 International Conference on Communications, Information System and Software Engineering, CISSE 2020

作者： Yang, Hu Xiaoyong, Zhang Di, Xiao Beijing Information Science and Technology University Automated institute Beijing China Beijing Key Laboratory of High Dynamic Navigation Technology Beijing China Key Laboratory of Modern Measurement and Control Technology Beijing China

The perception of human behavior that is different from normal has always been a common concern in many fields. The widespread use of smartphones makes it possible to obtain a large amount of user activities at fine spatial scales. In this context, this article first systematically summarizes the research on human behavior patterns in the era of mobile phone big data. Although the current research has made certain research progress, there are certain limitations in data source selection and activity semantic analysis. Then it focuses on the relevant research on the perception of abnormal events by mobile phone positioning big data, including the research progress in abnormal event early warning and emergency response, and believes that there is more room for development in related research. The analysis of these studies provides reference value for handling similar emergencies in the future, especially for post-disaster emergency response and resource allocation. It provides strong theoretical support. © 2021 Journal of Physics: Conference Series.

关键词： Big data

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Quick Routing Response to Link Failure in Low-Earth Orbit Satellite Networks 8

Quick Routing Response to Link Failure in Low-Earth Orbit Sa...

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8th IEEE International Conference on Computer and Communications, ICCC 2022

作者： Lu, Zhiping Zhi, Ruxin Ma, Weiguo School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China Beijing China Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9781665450515

Low earth orbit satellite communication systems are attractive for provisioning global, high-speed and low latency Internet access services. In order to achieve global continuous multiple coverage, the number of satellites is tremendous. But Low earth orbit satellite networks are prone to instability due to unpredictable link failures and frequent topology changes. Therefore, in this paper, a novel routing schemes with quick response to link failures is first proposed. Based on Dijkstra algorithm, a scalable routing algorithm is proposed to minimize the end-to-end transmission delay. It takes advantage of the predictable constellation trajectory, and changes dynamically according to the changes of network topology. It provides the shortest routing path and an alternative path simultaneously. When a link failure is detected by one satellite, notification packets will be sent to its neighbors for adjustment to the alternative routing path. Notification packets also will be sent to the head node for the recalculation of routing table. Finally, extensive simulations have been conducted, and the results show that the proposed scheme is able to produce desired performance. © 2022 IEEE.

关键词： Routing algorithms

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Low latency-oriented Reliable Slicing for URLLC services over TDM-PON based Mobile Edge Computing enabled Cloud Radio Access Network 19

Low latency-oriented Reliable Slicing for URLLC services ove...

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19th International Conference on Optical Communications and Networks, ICOCN 2021

作者： Wang, Xin Xu, Zhan He, Shanbao School of Information and Communication Engineering Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100101 China

ISBN: (纸本)9781665424462

The URLLC services have high stringent requirements for high reliability and low latency transmission. The TDM-PON based mobile edge computing (MEC) enabled cloud radio access network (CRAN) is an effective architecture to carry the URLLC services. However, how to ensure reliability and low latency requirements meanwhile decrease the deployment cost will be one of the major challenges in the network planning stage. A mathematical model and a heuristic algorithm are proposed to tackle such challenge towards demands of URLLC services. Simulation results suggest that proposed algorithm shows better performance in terms of low latency transmission than the benchmark algorithm, and achieves the near-optimal solution of MILP with an acceptable time complexity. Besides, impact of key parameters on comparison of different approaches in terms of total transmission latency consumption is also evaluated. © 2021 IEEE.

关键词： Mobile edge computing

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Adaptive Load Balancing Routing Algorithm for Low Earth Orbit Satellite Cluster Networks

Adaptive Load Balancing Routing Algorithm for Low Earth Orbi...

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International Conference on Computers, Communications, and Systems (ICCCS)

作者： Liming Wang Zhan Xu Ruxin Zhi Jiahui Wang School of Electronics and Communication Engineering Beijing Information Science and Technology University Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

ISBN: (数字)9798350350210

ISBN: (纸本)9798350350227

Large-scale satellite networks are a crucial component of future communication systems. However, they pose several challenges to satellite routing design and link recovery. This paper proposes an Adaptive Load Balancing routing algorithm for Low Earth Orbit (LEO) Satellite Cluster Networks (ALBSCN) to meet the needs of large-scale Low Earth Orbit LEO satellite networks. The constellation is divided into clusters, with each cluster maintaining the intra-cluster link state by electing a cluster head. The cluster head computes intra-cluster and inter-cluster routes. Messages are forwarded using inter-cluster multipath routing and intra-cluster routing techniques. We validated the algorithm's performance and compared it with other algorithms in terms of packet delivery delay using simulation. Simulation results indicate that the proposed clustering routing scheme effectively reduced packet loss and end-to-end delay, while also increasing network throughput.

关键词： Satellites Adaptive systems Simulation Clustering algorithms Low earth orbit satellites Packet loss Routing

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Reliability Study of Leo Satellite Networks Based on Random Linear Network Coding

Reliability Study of Leo Satellite Networks Based on Random ...

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Acoustics, Speech, and Signal Processing Workshops (ICASSPW), IEEE International Conference on

作者： Jiahui Wang Zan Xu Ruxin Zhi Liming Wang School of Electronics and Communication Engineering Beijing Information Science and Technology University China Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University China

ISBN: (数字)9798350374513

ISBN: (纸本)9798350374520

This paper proposes a random linear network coding method tailored for data transmission within Low Earth Orbit (LEO) constellation networks to address the challenges of long delay and high bit error rates (BER) in LEO satellite networks. The method employs a link quality-aware strategy, enabling dynamic adjustment of source-side redundancy based on the corresponding link quality to maximize network fault tolerance with minimal overhead. Validation using the OMNET++ discrete event simulation platform indicates that the proposed method performs well in LEO satellite networks of various scales and configurations, exhibiting superior performance in more extensive networks. In particular, in the 300-LEO and 200-LEO scenarios, the proposed method demonstrates a successful delivery rate improvement of 19.6% and 18.73%, respectively, compared to traditional single-path approaches. This method is deemed more suitable for application in dynamic satellite networks with large hop counts.

关键词： Satellite constellations Satellites Bit error rate Fault tolerant systems Low earth orbit satellites Termination of employment Network coding

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A Study on Resource Allocation for Mobile Edge Computing-Assisted Industrial Iot

A Study on Resource Allocation for Mobile Edge Computing-Ass...

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Networks, Communications and Intelligent Computing (NCIC), International Conference on

作者： Jie Lu Yuexia Zhang Junjie Li Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing China Key Laboratory of Modern Measurement Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

ISBN: (数字)9798350371949

ISBN: (纸本)9798350371956

Since the advancement of mobile communication technology, traditional industries are gradually transforming and upgrading, which leads to problems such as insufficient computing resources and excessive energy consumption of Internet of Things (IoT) devices. To address this issue, a resource allocation algorithm for the mobile edge computing-assisted industrial IoT (IIoT) is proposed. First, a mobile edge computing-assisted IIoT network model was constructed. Using the collaboration between IoT devices, mobile edge computing (MEC) servers, and cloud servers, the issue of minimizing all IIoT devices energy cost was proposed. Subsequently, in order to address the optimization issue, obtain its optimal solution, the alternating direction method of multipliers (ADMM) algorithm is introduced. Finally, the ADMM algorithm's convergence was verified through an experimental simulation. In contrast to baseline algorithm 1 and algorithm 2, the ADMM algorithm can significantly diminish energy cost, proving the effectiveness of the proposed scheme.

关键词： Energy consumption Cloud computing Costs Computational modeling Convex functions Servers Resource management

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Energy Consumption Minimization of Multi-UAV Assisted Mobile Edge Computing in SAGIN

Energy Consumption Minimization of Multi-UAV Assisted Mobile...

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IEEE International Conference on Communications in China Workshops (ICCC)

作者： Qian Zhou Yuanyuan Yao Qi Liu Sai Huang Xinwei Yue Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing China Key Laboratory of Modern Measurement Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China Key Laboratory of Universal Wireless Communications Ministry of Education Beijing University of Posts and Telecommunications Beijing China

ISBN: (数字)9798350377675

ISBN: (纸本)9798350377682

Space-air-ground integrated networks (SAGIN) is one of the new network architectures in the 6th Generation Mobile Communication technology (6G), which can provide higher speed and lower latency network access and coverage for ground user terminals. Under the premise of comprehensive connection, it provides solutions for service problems such as information acquisition, transmission, and processing. Given the remote geographical environment and the limited computing capability of users, SAGIN networks can provide reliable computing offload services within their coverage area by employing mobile edge computing servers on satellites and UAVs. In terms of the energy consumtion minimization problem, A Joint optimizing of offloading decision, task allocation, computing frequency and UAV deployment (JODFQ) algorithm is proposed, to decompose the original non-convex problem into three sub-problems that are iteratively solved alternately, while meeting the maximum tolerable latency of underlying tasks. Simulation results have verified the convergence and feasibility of the proposed algorithm. Compared with algorithms that use local-satellite, full-satellite and fixed UAV position schemes, the JODFQ algorithm effectively reduces the total system energy consumption. The research findings serve as a valuable reference for achieving low energy consumption and high efficiency SAGIN systems.

关键词： Space vehicles Energy consumption Multi-access edge computing Simulation Space-air-ground integrated networks Autonomous aerial vehicles Minimization Resource management Optimization Radio spectrum management

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Research on the fault classification method of rolling bearings based on envelope entropy screening criterion and vmd fusion SVM

Research on the fault classification method of rolling beari...

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10th International Symposium on Test Automation & Instrumentation (ISTAI 2024)

作者： Zhanglei Jiang Wei Zheng Yaru Liu Dachao Men Xiuli Liu Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing University of Information Science and Technology Beijing People's Republic of China Baotou Service Management Vocational School Baotou People's Republic of China

ISBN: (数字)9781837241910

As a critical component in mechanical equipment, the fault diagnosis of rolling bearings is of great significance. Due to the presence of substantial noise in vibration signals, extracting fault features becomes particularly challenging. This paper proposes a method combining Variational Mode Decomposition (VMD) and Support Vector Machine (SVM) based on the envelope entropy selection criterion for rolling bearing fault diagnosis. First, the VMD method is used to decompose the vibration signal into several Intrinsic Mode Function (IMF) components, and the envelope spectrum of these components is obtained through envelope analysis. Then, the envelope entropy is adopted as the IMF component selection criterion to select the IMF components that best reflect the fault characteristics. The envelope energy of the selected IMF components is used as feature indicators and input into the SVM model to achieve fault type recognition. This method is applied to the fault diagnosis experiment of rolling bearing vibration signals, and the results show that the method can accurately extract fault features and effectively recognize fault types. The experimental results indicate that the fault recognition accuracy of this method reaches 99.5%. By comparing with other methods, the superiority and practical application value of this method in rolling bearing fault diagnosis are verified.

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