Two-phase downlink subcarrier allocation for multicell OFDMA systems
Sign Up to like & getrecommendations! Published in 2019 at "Wireless Networks"
DOI: 10.1007/s11276-018-1798-9
Abstract: To increase spectrum efficiency, the radio resource management with frequency reuse factor = 1 is usually adopted in multi-cell orthogonal frequency division multiple access systems. Such a reuse-one strategy results in severe co-channel interference, especially penalizing mobile… read more here.
Keywords: downlink; downlink subcarrier; phase downlink; mobile users ... See more keywords
Optimal Control Theory-Based Epidemic Information Spreading Scheme for Mobile Social Users With Energy Constraint
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2720759
Abstract: With the rapid development of energy-efficient cloud computing technologies, mobile users can share information with each other in different communities. However, due to the ever-increasing population of mobile users and the scale of networks, the… read more here.
Keywords: information; mobile users; energy; scheme ... See more keywords
Gamified Participatory D2D Communication for Encouraging User Participation Toward Future Mobile Communication
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3195341
Abstract: Device-to-Device (D2D) communication is a promising solution in next generation cellular technologies to efficiently provide on-demand connectivity. Among existing D2D communication schemes, the outband approach that uses unlicensed spectrum can eliminate the spectrum interference with… read more here.
Keywords: participatory d2d; gamified participatory; communication; mobile users ... See more keywords
Ubiquitous Transmission of Multimedia Sensor Data in Internet of Things
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2017.2762731
Abstract: The Internet of Things (IoT) enables environmental monitoring by collecting data from sensing devices, including cameras and microphones. The popularity of smartphones enables mobile users to communicate and collect data from their surrounding sensing devices.… read more here.
Keywords: sensor data; mobile users; information; multimedia sensor ... See more keywords
Incentive Mechanism Design in Mobile Opportunistic Data Collection With Time Sensitivity
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2017.2779176
Abstract: Mobile crowdsensing systems aim at providing various novel sensing applications by recruiting pervasive users with mobile devices, which are now equipped with enriched built-in sensors (e.g., GPS, microphone, camera, gyroscope, accelerometer, etc.). A key factor… read more here.
Keywords: mobile users; mechanism; time; data collection ... See more keywords
Blockchain-Based Trustworthy Edge Caching Scheme for Mobile Cyber-Physical System
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2019.2951007
Abstract: To improve mobile users’ quality-of-experience (QoE) in the mobile cyber-physical system (MCPS), caching layered-coding contents on edge nodes that are close to mobile users has been advocated as a promising solution, which can efficiently lower… read more here.
Keywords: edge nodes; caching scheme; edge caching; mobile users ... See more keywords
DeepSensing: A Novel Mobile Crowdsensing Framework With Double Deep Q-Network and Prioritized Experience Replay
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.3022611
Abstract: Mobile crowdsensing (MCS) is a new and promising paradigm of data collection due to the growing number of mobile smart devices. It can be utilized in applications of large-scale sensing by employing a group of… read more here.
Keywords: tasks mobile; sensing tasks; double deep; mobile users ... See more keywords
Learning to Coordinate in Mobile-Edge Computing for Decentralized Task Offloading
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3209714
Abstract: Edge servers, which are located in close proximity to mobile users, have become emerging components for computation offloading in multiple Internet of Things (IoT) applications. As the edge resources are limited and shared among multiple… read more here.
Keywords: task offloading; coordinate mobile; edge; mobile users ... See more keywords
Customized Data Plans for Mobile Users: Feasibility and Benefits of Data Trading
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2017.2679661
Abstract: The growing volume of mobile data traffic has led many Internet service providers (ISPs) to cap the monthly data usage of their users and to charge overage fees, when the data caps are exceeded. Yet… read more here.
Keywords: data caps; mobile users; data plans; customized data ... See more keywords
Accurate Respiration Monitoring for Mobile Users With Commercial RFID Devices
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2020.3020604
Abstract: Vital signs (e.g., respiration rate or heartbeat rate) sensing is of great importance to implement pervasive in-home healthcare. Traditional vital signs monitoring approaches usually require users to wear some dedicated sensors. These approaches are intrusive… read more here.
Keywords: rfid; respiration; monitoring; monitoring mobile ... See more keywords
Providing Task Allocation and Secure Deduplication for Mobile Crowdsensing via Fog Computing
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2018.2791432
Abstract: Mobile crowdsensing enables a crowd of individuals to cooperatively collect data for special interest customers using their mobile devices. The success of mobile crowdsensing largely depends on the participating mobile users. The broader participation, the… read more here.
Keywords: data deduplication; secure; mobile users; fog ... See more keywords