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A hybrid dynamic aggregation and fragmentation cognitive channel allocation model for mobile communication
Cognitive Radio is playing a crucial role to enhance radio spectrum utilization by applying various techniques for real-time and non-real-time...
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Designing ROACM routing protocol along with bandwidth allocation using seagull optimization for ad hoc wireless network
Ad hoc Wireless Network is trending because of its wide usage in various applications for transmitting information. The major concern faced in this...
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Cloud material handling systems: a cyber-physical system to enable dynamic resource allocation and digital interoperability
The existing logistics practices frequently lack the ability to effectively handle disruptions. Recent research called for dynamic, digital-driven...
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DOCA: a UAV-assisted multi-hop D2D resource allocation scheme for 5G and beyond using machine learning
Device-to-Device (D2D) relayed communication helps in extending the coverage range of cellular networks. Relay devices support multi-hop D2D...
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HRL-Edge-Cloud: Multi-Resource Allocation in Edge-Cloud based Smart-StreetScape System using Heuristic Reinforcement Learning
The Edge Cloud (EC) architecture aims at providing the compute power at the edge of the network to minimize the latency necessary for the Internet of...
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Quality of service driven hierarchical resource allocation for network slicing-enabled hybrid wireless–wireline access networks
Hybrid wireless–wireline access networks (HWWANs), which allow coordinated and simultaneous use of wireless and wireline interfaces, are a promising...
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Joint downlink user power allocation and rate maximization in UAV relay assisted SWIPT-NOMA network
In this paper, in order to improve the performance of wireless fifth generation (5G) communication system and save power consumption, the research...
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A review: spreading factor allocation schemes for LoRaWAN
LoRaWAN is one of the most suitable communication protocols for the IoT applications that require low power over long-range communication. However,...
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Resource allocation for UAV-assisted 5G mMTC slicing networks using deep reinforcement learning
The Internet of Things (IoT) application scenarios is becoming extensive due to the quick evolution of smart devices with fifth-generation (5G)...
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Deep resource allocation for a massively multiplayer online finance of tourism gamification in metaverse
We would like to develop an effective multi-user finance service for tourism gamification in the metaverse. Such a digital marketing is emerging and...
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The preemptive resource allocation problem
We revisit a classical scheduling model to incorporate modern trends in data center networks and cloud services. Addressing some key challenges in...
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Joint resource and trajectory optimization for video streaming in UAV-based emergency indoor-outdoor communication
Due to its ability for flexible placement, the Unmanned Aerial Vehicle (UAV) has been widely utilized as an aerial relay to transmit the video...
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QoS and energy-efficiency aware scheduling and resource allocation scheme in LTE-A uplink systems
With the fast evolution of the wireless communications, the energy consumption of mobile network and the data flow in the network are increasing....
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IRS and UAV-relay assisted public safety networks for video transmission: optimizing UAVs deployment and resource allocation
In disaster scenarios with cellular base station failures, the importance of wireless communication further rises, necessitating the deployment of...
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Time-based resource allocation for downlink in heterogeneous wireless cellular networks
Heterogeneous Wireless Cellular Networks (HWCNs) are an essential part of current and future cellular networks as a result of several benefits they...
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A dynamic spectrum access algorithm based on deep reinforcement learning with novel multi-vehicle reward functions in cognitive vehicular networks
As a revolution in the field of transportation, the demand for communication of vehicles is increasing. Therefore, how to improve the success rate of...
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A framework and method for equipment digital twin dynamic evolution based on IExATCN
Dynamic evolution is the most typical feature of a digital twin, making it different from a traditional digital model. Dynamic evolution is also the...
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Nature-Inspired Techniques for Dynamic Constraint Satisfaction Problems
Combinatorial applications such as configuration, transportation and resource allocation often operate under highly dynamic and unpredictable...
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Placement of dynamic service function chains in partially VNF-enabled networks
Network Function Virtualization (NFV) is an emerging approach to overcome the limitations of proprietary network hardware appliances. Under the...
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Recent studies of agent incentives in internet resource allocation and pricing
Market makers choose and design market rules to serve certain objectives, such as to maximize revenue from the sales in the case of a single seller...
