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检索条件"主题词=Scheduling algorithms"

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Reduced complexity precoding and scheduling algorithms for full-dimension MIMO systems

Reduced complexity precoding and scheduling algorithms for f...

引用

2014 IEEE Global Communications Conference

作者： Yan Xin Young-Han Nam Yang Li Jianzhong Charlie Zhang Samsung Research America Dallas (SRA-D) Richardson TX USA

Full-dimension multiple-input multiple-output (FD-MIMO) systems, in which base stations are equipped with a large number of antennas in a two-dimensional panel, has received considerable attention from academia researchers and industry practitioners. Compared with legacy cellular communication systems, FD-MIMO systems can achieve significantly higher spectral efficiency with high order multi-user MIMO (MU-MIMO) transmissions. However, as high-order MU-MIMO also incurs high precoding and scheduling complexity, it is critical to reduce complexity of these operations in order to realize throughput potential of FD-MIMO systems in practice. In this paper, we propose a reduced complexity algorithm to realize the high performance precoding technique, signal-to-leakage plus noise ratio (SLNR) precoding, and propose an efficient scheduling algorithm to enable high-order MU-MIMO transmissions in FD-MIMO systems. We further demonstrate the effectiveness of the proposed algorithms by using system level simulations.

关键词： Measurement Complexity theory Throughput scheduling algorithms Vectors MIMO Matrix decomposition

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The impact of scheduling algorithms for real-time traffic in the 5G femto-cells network

The impact of scheduling algorithms for real-time traffic in...

引用

International Symposium on Signal, Image, Video and Communications (ISIVC)

作者： Asmae MAMANE M. EL GHAZI S. MAZER M. BEKKALI M. FATTAH M. MAHFOUDI Laboratory for Transmission and Processing of Information USMBA Fez Morocco FPE UMI Meknes Morocco OFPPT Meknes Morocco

ISBN: (纸本)9781538681749;9781538681732

The deployment of femto-cells in fifth-generation (5G) systems is necessary thanks to their advantages in terms of the number of supported users, and the reduction of energy consumption, thus it's promising to adopt this concept to meet the 5G networks' requirements. However, the allocation of resources and the management of traffic while maintaining the quality of service (QoS); constitutes a major challenge in terms of fairness and perceived throughput at the terminal *** this paper, a number of scheduling algorithms planned to be used in 5G, namely the Proportional Fair (PF) algorithm, the Exponential Proportional Fair algorithm (EXP / PF) and the algorithm Maximum Largest Weighted Delay First (MLWDF) are studied and compared in terms of equity (Fairness Index), useful rate (Goodput) and spectral efficiency, at the level of femto-cells in the downward direction.

关键词： 5G mobile communication Spectral efficiency scheduling algorithms Indexes Delays Streaming media Throughput

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Low complexity user scheduling algorithms for uplink multiuser MIMO systems

Low complexity user scheduling algorithms for uplink multius...

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International Conference on Communications and Networking in China (CHINACOM)

作者： Liang Li Ling Qiu Guo Wei Wireless Information Network Laboratory University of Science and Technology Hefei China

ISBN: (纸本)9781457701009

This paper considers efficient and low complexity multiuser scheduling algorithms for the uplink multiple-input multiple-output systems. The exhaustive search algorithm (ESA) that gives the optimal performance, however, is complexity prohibitive for practical implementation. Aiming at reducing the complexity while keeping the achievable sum rate performance, two heuristic algorithms are proposed for the multiuser scheduling problem: the improved genetic algorithm and simplified norm-based greedy algorithm. Numerical examples demonstrate that our proposed scheduling algorithms perform close to the optimal ESA, while with much lower complexity.

关键词： Complexity theory Genetic algorithms MIMO Signal to noise ratio Algorithm design and analysis Biological cells scheduling algorithms

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Enhancing DoS Attack Recovery in MQTT Brokers for IoT Systems through Efficient scheduling algorithms

Enhancing DoS Attack Recovery in MQTT Brokers for IoT System...

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IEEE MIT Undergraduate Research Technology Conference (URTC)

作者： Pranav Sitaraman Edison Academy Magnet School Edison NJ United States

ISBN: (数字)9798350309652

ISBN: (纸本)9798350309669

The exponential rise in the use of IoT devices has produced a growing risk of Denial of Service (DoS) attacks on IoT infrastructure. DoS attacks can prevent critical services from reaching legitimate users by targeting communication protocols such as Message Queuing Telemetry Transport (MQTT). Prior research has touched on algorithms to detect DoS attacks on the MQTT protocol, but the discussion of broker recovery from DoS attacks is not prevalent in the literature. This paper proposes the use and adaptation of efficient scheduling algorithms for minimizing tardy processing time to enhance the on-time delivery of backed-up queries to MQTT brokers following DoS attacks.

关键词： Protocols scheduling algorithms Internet of Things Telemetry

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Energy-efficiency Analysis of Different scheduling algorithms for Mobile Crowd Computing

Energy-efficiency Analysis of Different Scheduling Algorithm...

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International Conference on Computing and Networking Technology (ICCNT)

作者： Pijush Kanti Dutta Pramanik Tarun Biswas School of Computer Applications and Technology Galgotias University Greater Noida India Department of Computer Science & Engineering Indian Institute of Information Technology Ranchi India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

Mobile crowd computing (MCC) has emerged as a promising paradigm to leverage the underutilised computational resources of smart mobile devices (SMDs). However, the energy constraints of these devices pose a significant challenge in efficiently executing computational tasks. This study analyses the energy efficiency of various scheduling algorithms for MCC environments. The study compares the performance of seven scheduling algorithms: PPIA, RAS, PSO, GA, MaxMin, MinMin, and MCT. These algorithms were evaluated in terms of their energy efficiency when executing different sets of tasks with varied instruction lengths. The experiment used a simulated MCC environment with real data from five SMDs. The results demonstrate that the PSO algorithm consistently outperformed the other scheduling schemes regarding energy efficiency across all task sets. The GA algorithm also showed promising results. The MinMin algorithm exhibited the lowest energy efficiency. The findings of this study provide valuable insights for designing and implementing energy-efficient task scheduling strategies in MCC systems. Analysing the different algorithms under varying task loads can help MCC service providers make informed decisions when selecting appropriate scheduling techniques to optimise the energy utilisation of SMDs.

关键词： Performance evaluation scheduling algorithms Energy efficiency scheduling Mobile handsets Computational efficiency Optimization Genetic algorithms

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On the Stability of scheduling algorithms for Network Navigation

On the Stability of Scheduling Algorithms for Network Naviga...

引用

IEEE Global Communications Conference

作者： Tianheng Wang Yuan Shen Moe Z. Win the Laboratory for Information and Decision Systems (LIDS) Massachusetts Institute of Technology Room 32-D574 77 Massachusetts Avenue Cambridge MA 02139 USA

ISBN: (纸本)9781479913510

Wireless navigation networks enable location-awareness in GPS-challenged environments. For such networks, scheduling algorithms are needed to improve the navigation accuracy through measurement pair selections under limited communication resource. In this paper, we develop an analytical framework to determine the location error evolution for different scheduling algorithms and network settings. Under this framework, we provide sufficient conditions for the stability of the location error evolution, and we quantify the time-averaged network location errors (NLEs) for scheduling algorithms with and without exploiting the network states. Furthermore, we show the optimality of the proposed scheduling algorithms in terms of the error scaling with respect to the agent density. These results provide fundamental insights into the effects of scheduling algorithms and network settings on the location error evolution, leading to efficient scheduling algorithms for navigation networks.

关键词： Location error evolution navigation process scheduling stability error scaling scheduling algorithms Navigation processes navigation accuracy Network location error Location awareness navigation

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Categorization of Task scheduling algorithms used in Cloud Environment

Categorization of Task Scheduling Algorithms used in Cloud E...

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International Conference on Information Systems and Computer Networks (ISCON)

作者： Abhishek Goyal Rakesh Garg Komal Kumar Bhatia Amity School of Engineering and Technology Amity University Uttar Pradesh J C Bose University of Science and Technology Faridabad

ISBN: (纸本)9781665447874

Cloud computing is a new paradigm in computing that enables the availability of various resources at one place on the user's demand. In cloud computing, a cloud is a unit containing various resources like hardware, software, etc. In contrast, computing refers to the way or mechanism to access the available resources from the cloud. Numerous challenges such as cloud security, performance, task scheduling etc., are observed during the adaption of cloud computing. Task scheduling aims at the optimized resource allocation to the various tasks. The performance of any system is directly dependent on the scheduling process. More effective task scheduling will undoubtedly lead to the high performance of the system. This paper highlights the various task scheduling algorithms and their advantages and disadvantages in the cloud environment. Further, A novel effort is made to categorize existing task scheduling algorithms based on their working concepts.

关键词： Cloud computing scheduling algorithms Cloud computing security Software Hardware Computer networks Resource management

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Energy consumption evaluation for LTE scheduling algorithms

Energy consumption evaluation for LTE scheduling algorithms

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International Symposium on Networks, Computers and Communications (ISNCC)

作者： Takoua Ghariani Badii Jouaber Institut Mines-Telecom/Telecom SudParis

Reducing energy consumption over mobile networks and devices is an important and challenging issue. On the one hand, power is a limited resource on mobile devices and its usage should be optimized. On the other hand, energy consumption constitutes an important item within operating expenditure (OPEX) for network providers. In the literature, many studies are dedicated to evaluate scheduling mechanisms from the energy consumption perspective. However, most of these only consider few well known schemes such as Proportional Fair, Best-CQI and Round Robin. In the paper, we extend these studies to include new promising scheduling techniques such as PF, EXP-PF and MLWDF algorithm. In addition, we consider multiple metrics related to QoS, energy and fairness. Performance results show that MLWDF is more energy efficient than EXP-PF and PF schemes while providing better QoS for users.

关键词： scheduling algorithms Throughput Quality of service Energy consumption Resource management Delays Wireless communication

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Building Effective scheduling algorithms for Sensor Networks

Building Effective Scheduling Algorithms for Sensor Networks

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International Conference on Information Technology: New Generations (ITNG)

作者： Fangyang Shen Chunlei Liu Bing Qi Yanqing Ji Daniel Caban Department of CST NYC College of Tech Brooklyn NY Department of Math&CS Voldosta State University Voldosta GA Department of CS Methodist University Fayetteville NC Department of ECE Gonzaga University Spokane WA

ISBN: (纸本)9781479931897

In wireless sensor networks, some sensor nodes can switch to a sleep state to conserve energy if their neighbors can provide similar sensing coverage. In reality, when more sensor nodes sleep, a sensor network's coverage may degrade. In this paper, we evaluate the coverage-aware sleep scheduling algorithm in areas with uneven event distributions and study its performance on event detection rate and event detection delay. There are two major improvements in this paper: first, we add the components of event generator into this paper and collect data on event detection rate and event detection delay. Second, we analyze sleep probability and energy consumption for coverage-aware sleep scheduling algorithm. Compared with randomized deployment strategy, the density adaptive deployment performs better on event detection delay and event detection rate.

关键词： Event detection Delays scheduling algorithms Monitoring Educational institutions Energy consumption

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Evaluation and comparaison of scheduling algorithms in Wimax networks

Evaluation and comparaison of scheduling algorithms in Wimax...

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IEEE International Conference on Multimedia Computing and Systems (ICMCS)

作者： Kais Mnif Radia Khdhir Lotfi Kamoun Tunisia Ecole Nationale d'Electronique et de Telecommunications (ENET' COM) University of Sfax Ecole Nationale d'Ingénieurs de Sfax (ENIS) University of Sfax Tunisia

In this paper, we propose a new scheduling algorithm for IEEE802.16 Broadband wireless Metropolitan Area Networks in TDD mode. Based on some known algorithms such as Modified Deficit Round Robin (MDRR), Proportional Fairness (PF) and Adaptive Proportional Fairness (APF), we have studied the scheduling problem and proposed scheduling algorithm, called (Enhanced-APF) for focuses on an efficient mechanism to serve high priority traffic in order to perform and achieve high resource utilization in the Wimax Base Station. We give a detailed simulation study for the proposed scheduling algorithm and its performance has been compared. Based on OPNET modeler Simulation, results show that the proposed algorithm can increase the network throughput, maintain relative fairness, and lower delay of dealing with different requirements from users under congestion conditions.

关键词： Quality of service Delays scheduling algorithms Throughput WiMAX Real-time systems Streaming media

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