Bandwidth allocation
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Deep reinforcement learning-based joint task offloading and bandwidth allocation for multi-user mobile edge computing Open
The rapid growth of mobile internet services has yielded a variety of computation-intensive applications such as virtual/augmented reality. Mobile Edge Computing (MEC), which enables mobile terminals to offload computation tasks to servers…
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Resource Allocation for Cognitive Satellite Communications With Incumbent Terrestrial Networks Open
The lack of available unlicensed spectrum together with the increasing spectrum demand by multimedia applications has resulted in a spectrum scarcity problem, which affects satellite communications (SatCom) as well as terrestrial systems. …
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BwE Open
WAN bandwidth remains a constrained resource that is economically infeasible to substantially overprovision. Hence, it is important to allocate capacity according to service priority and based on the incremental value of additional allocat…
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Cognitive spectrum utilization in Ka band multibeam satellite communications Open
Multibeam satellite networks in Ka band have been designed to accommodate the increasing traffic demands expected in the future. However, these systems are spectrum limited due to the current spectrum allocation policies. This paper invest…
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Computation offloading and resource allocation for low-power IoT edge devices Open
With the proliferation of portable and mobile IoT devices and their increasing processing capability, we witness that the edge of network is moving to the IoT gateways and smart devices. To avoid Big Data issues (e.g. high latency of cloud…
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Energy‐efficient resource allocation model for device‐to‐device communication in 5G wireless personal area networks Open
Summary In general, there are several many devices that can overload the network and reduce performance. Devices can minimize interference and optimize bandwidth usage by using directional antennas and by avoiding overlapping communication…
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Bandwidth Control Mechanism and Extreme Gradient Boosting Algorithm for Protecting Software-Defined Networks Against DDoS Attacks Open
Software-Defined Networking (SDN) is an emerging network architecture that addresses the limitation of the traditional network by providing centralized management through a central controller that decouples the control and data planes. How…
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Carousel Open
Traffic shaping, including pacing and rate limiting, is fundamental to the correct and efficient operation of both datacenter and wide area networks. Sample use cases include policy-based bandwidth allocation to flow aggregates, rate-based…
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Spectrum Sharing in mmWave Cellular Networks via Cell Association, Coordination, and Beamforming Open
This paper investigates the extent to which spectrum sharing in mmWave\nnetworks with multiple cellular operators is a viable alternative to\ntraditional dedicated spectrum allocation. Specifically, we develop a general\nmathematical frame…
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Nonlinear Impairment-Aware Static Resource Allocation in Elastic Optical Networks Open
This paper studies the routing, modulation format, and spectrum allocation problem in elastic fiber-optical networks for static traffic. Elastic networks, based on Nyquist wavelength-division multiplexing or optical orthogonal frequency-di…
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An Effective Multi-Objective Optimization Algorithm for Spectrum Allocations in the Cognitive-Radio-Based Internet of Things Open
The continuous growth of interconnected objects in the Internet of Things (IoT) raises a challenge to the wireless communication technology. Cognitive radio could make full use of the dynamic spectrum access and spectrum diversity over wid…
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Function Split Between Delay-Constrained Routing and Resource Allocation for Centrally Managed QoS in Industrial Networks Open
Industrial networks demand centrally controlled quality of service (QoS), often in the form of hard real-time guarantees. Software-defined networking (SDN) provides a convenient paradigm for central QoS control. However, existing SDN-based…
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Dynamic Resource Allocation With RAN Slicing and Scheduling for uRLLC and eMBB Hybrid Services Open
To cope with the limited radio and power resources, designing energy- and cost-efficient resource allocation strategy with RAN slicing and scheduling is important in ensuring the extreme QoS of differentiated Internet of things (IoT) servi…
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Joint Optimization of Data Offloading and Resource Allocation With Renewable Energy Aware for IoT Devices: A Deep Reinforcement Learning Approach Open
A large number of connected sensors and devices in Internet of Things (IoT) can generate large amounts of computing data and increase massive energy consumption. Real-time states monitoring and data processing of IoT nodes are of great sig…
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System Optimization of Federated Learning Networks With a Constrained Latency Open
This paper investigates a wireless federated learning (FL) network with limited communication bandwidth, where multiple mobile clients train their individual models with the help of one central server. We consider the practical communicati…
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Deep Learning-Based Dynamic Bandwidth Allocation for Future Optical Access Networks Open
Over the last decade, Passive Optical Networks (PONs) have emerged as an ideal candidate for next-generation broadband access networks. Meanwhile, machine learning and more specifically deep learning has been regarded as a star technology …
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Backhaul-Aware Optimization of UAV Base Station Location and Bandwidth Allocation for Profit Maximization Open
Unmanned Aerial Vehicle Base Stations (UAVBSs) are envisioned to be an\nintegral component of the next generation Wireless Communications Networks\n(WCNs) by dynamically moving the supply towards the demand. A significant\ndrawback of the …
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A Contract-Based Spectrum Trading Scheme for Cognitive Radio Networks Enabling Hybrid Access Open
The latest trends in spectrum trading allow secondary users (SUs) to employ hybrid access models and exploit bandwidth employing either opportunistic spectrum access or exclusive spectrum access of vacant frequency bands (FBs) leased for e…
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A Data-Driven Bandwidth Allocation Framework With QoS Considerations for EONs Open
This work proposes a data-driven bandwidth allocation (BA) framework for periodically and dynamically reconfiguring an elastic optical network according to predictive bandwidth allocation (PBA) models. The proposed framework is scalable to…
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Cache Placement in Two-Tier HetNets With Limited Storage Capacity: Cache or Buffer? Open
In this paper, we aim to minimize the average file transmission delay via bandwidth allocation and cache placement in two-tier heterogeneous networks with limited storage capacity, which consists of cache capacity and buffer capacity. For …
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Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G Open
An edge intelligence-aided Internet-of-Things (IoT) network has been proposed to accelerate the response of IoT services by deploying edge intelligence near IoT devices. The transmission of data from IoT devices to the edge nodes leads to …
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Bandwidth Management VMs Live Migration in Wireless Fog Computing for 5G Networks Open
Live virtual machine migration aims at enabling the dynamic balanced use of the networking/computing physical resources of virtualized data-centers, so to lead to reduced energy consumption. Here, we analytically characterize, prototype in…
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Optimization-Oriented Resource Allocation Management for Vehicular Fog Computing Open
Vehicular fog computing, which extends the mobile cloud paradigm, is usually composed of stable infrastructures, a large volume of vehicles, portable devices, and robust networks. As a service-providing platform, it is significant to quick…
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Localization With One-Bit Passive Radars in Narrowband Internet-of-Things Using Multivariate Polynomial Optimization Open
Several Internet-of-Things (IoT) applications provide location-based services, wherein it is critical to obtain accurate position estimates by aggregating information from individual sensors. In the recently proposed narrowband IoT (NB-IoT…
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Virtual DBA: virtualizing passive optical networks to enable multi-service operation in true multi-tenant environments Open
This paper presents the concept of virtual dynamic bandwidth allocation (DBA), a method we propose to virtualize upstream capacity scheduling in passive optical networks (PONs), which provides multiple independent virtual network operators…
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Bandwidth and Cache Leasing in Wireless Information Centric Networks: a Game Theoretic Study Open
Information-centric networking (ICN) is a novel paradigm that aims at improving the performance of today's Internet by supporting caching and multicast content delivery on every network device. The main contribution of this paper is to pro…
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Wavelength and Bandwidth Allocation for Mobile Fronthaul in TWDM-PON Open
Time- and wavelength- division multiplexed passive optical network (TWDM-PON) has attracted considerable attention for the next generation optical access systems. Among potential applications of TWDM-PON, a major application is the support…
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Efficient Resource Allocation in Fog Computing Using QTCS Model Open
Infrastructure of fog is a complex system due to the large number of heterogeneous resources that need to be shared. The embedded devices deployed with the Internet of Things (IoT) technology have increased since the past few years, and th…
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Energy-Efficient Radio Resource Allocation for Federated Edge Learning Open
Edge machine learning involves the development of learning algorithms at the network edge to leverage massive distributed data and computation resources. Among others, the framework of federated edge learning (FEEL) is particularly promisi…
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Task Allocation Methods and Optimization Techniques in Edge Computing: A Systematic Review of the Literature Open
Task allocation in edge computing refers to the process of distributing tasks among the various nodes in an edge computing network. The main challenges in task allocation include determining the optimal location for each task based on the …