Optimization of Achievable Rate in the Multiuser Satellite IoT System With SWIPT and MEC

Fu, Jiafei; Hua, Jingyu; Wen, Jiangang; Zhou, Kai; Li, Jiamin; Sheng, Bin

doi:10.1109/tii.2020.2985157

Cited by 25 publications

(20 citation statements)

References 27 publications

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“…Several case studies have been considered for investigating the feasibility of space-air-ground-underwater communications in 6G-IoT applications. For example, a multiuser satellite IoT system is considered in [59] based on LEO satellite communications. In this regard, a Mobile Edge Computing (MEC) server is integrated with the full-duplex access points to create satellite-links for improving communication latency efficiency in mission-critical IoT applications.…”

Section: Space-air-ground-underwater Communicationsmentioning

confidence: 99%

“…• A multiuser satellite IoT system is considered in [59] based on LEO satellite communications where an MEC server is integrated with the full-duplex access points to create satellite-links for improving communication latency efficiency in mission-critical IoT applications. • Different from [59], UAVs are exploited in [60] for supporting different data transmission solutions in IoT data sensing and video streaming, where a new DRL algorithm is integrated to optimize the trajectory and power control of UAVs.…”

Section: Space-air-ground -Underwater Communicationsmentioning

confidence: 99%

See 1 more Smart Citation

6G Internet of Things: A Comprehensive Survey

Nguyen,

Ding,

Pathirana

et al. 2021

Preprint

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The sixth generation (6G) wireless communication networks are envisioned to revolutionize customer services and applications via the Internet of Things (IoT) towards a future of fully intelligent and autonomous systems. In this article, we explore the emerging opportunities brought by 6G technologies in IoT networks and applications, by conducting a holistic survey on the convergence of 6G and IoT. We first shed light on some of the most fundamental 6G technologies that are expected to empower future IoT networks, including edge intelligence, reconfigurable intelligent surfaces, space-air-groundunderwater communications, Terahertz communications, massive ultra-reliable and low-latency communications, and blockchain. Particularly, compared to the other related survey papers, we provide an in-depth discussion of the roles of 6G in a wide range of prospective IoT applications via five key domains, namely Healthcare Internet of Things, Vehicular Internet of Things and Autonomous Driving, Unmanned Aerial Vehicles, Satellite Internet of Things, and Industrial Internet of Things. Finally, we highlight interesting research challenges and point out potential directions to spur further research in this promising area.

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Section: Space-air-ground-underwater Communicationsmentioning

confidence: 99%

Section: Space-air-ground -Underwater Communicationsmentioning

confidence: 99%

6G Internet of Things: A Comprehensive Survey

Nguyen,

Ding,

Pathirana

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…By jointly optimizing the power allocation and the pairing of subcarriers, the optimization scheme can help to solve the problem of energy deficiency. An achievable rate maximization problem was discussed in [ 28 ] for multiuser satellite IoT system with SWIPT and MEC to overcome the limitation in battery capacity and computing capability of IoT terminals. In [ 29 ], a UAV-enabled wireless powered MEC system was investigated, where the offloading modes were optimized to reach the maximum computation rate under the power constraint and the UAV speed constraint.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient SWIPT Based Mobile Edge Computing Framework for WSN-Assisted IoT

Chen

Wang

et al. 2021

Sensors

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With the increasing deployment of IoT devices and applications, a large number of devices that can sense and monitor the environment in IoT network are needed. This trend also brings great challenges, such as data explosion and energy insufficiency. This paper proposes a system that integrates mobile edge computing (MEC) technology and simultaneous wireless information and power transfer (SWIPT) technology to improve the service supply capability of WSN-assisted IoT applications. A novel optimization problem is formulated to minimize the total system energy consumption under the constraints of data transmission rate and transmitting power requirements by jointly considering power allocation, CPU frequency, offloading weight factor and energy harvest weight factor. Since the problem is non-convex, we propose a novel alternate group iteration optimization (AGIO) algorithm, which decomposes the original problem into three subproblems, and alternately optimizes each subproblem using the group interior point iterative algorithm. Numerical simulations validate that the energy consumption of our proposed design is much lower than the two benchmark algorithms. The relationship between system variables and energy consumption of the system is also discussed.

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“…Recently, with the evolution from the fifth generation mobile communication (5G) [1] to the sixth generation mobile communication (6G), some novel technologies, such as mobile edge computing (MEC) [2,3], satellite communication [4] and spatial multiplexing [5], have been proposed to promote the development of wireless sensor network (WSN) [6], IoT [7] and other novel applications [8,9], so as to to meet a whole connected world and realize global coverage. IoV as a special application of IoT attracts extensive attention in terms of road safety, smart transportation and information service [10].…”

Section: Introduction 1background and Related Workmentioning

confidence: 99%

“…However, energy harvesting may suffer from the uncertain environment resulting in abtain unreliable energy sources, while wireless power transfer (WPT) is able to realize more controllable and reliable energy supply from radio frequency (RF). Futher considering that not only energy but also information contained in RF signal, SWIPT is widely used to achieve energy harvesting and information decoding (ID) by power-splitting (PS) and timeswitching (TS) [38]. Meanwhile, full-duplex (FD) [39] and multi-input and multioutput (MIMO) [40] are proposed to further improve the spectrum efficiency and reduce the time latency [41].…”

Section: Introduction 1background and Related Workmentioning

confidence: 99%

Optimization of The Energy Efficiency in Smart Internet of Vehicles Assisted By MEC

Fu¹,

Zhu²,

Hua

et al. 2021

Preprint

Self Cite

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Smart Internet of Vehicles (IoV) as a promising application in Internet of Things (IoT) emerges with the development of the fifth generation mobile communication (5G). Nevertheless, the heterogeneous requirements of sufficient battery capacity, powerful computing ability and energy efficiency for electric vehicles face great challenges due to the explosive data growth in 5G and the sixth generation of mobile communication (6G) networks. In order to alleviate the deficiencies mentioned above, this paper proposes a mobile edge computing (MEC) enabled IoV system, in which electric vehicle nodes (eVNs) upload and download data through an anchor node (AN) which is integrated with a MEC server. Meanwhile, the anchor node transmitters radio signal to electric vehicles with simultaneous wireless information and power transfer (SWIPT) technology so as to compensate the battery limitation of eletric vehicles. Moreover, the anchor node equips with full-duplex (FD) and multi-input and multi-output (MIMO) technologies for futher improve the spectrum efficiency. Taking into account the issues above, we maximize the average energy efficiency of electric vehicles by jointly optimize the CPU frequency, vehicle transmitting power, computing tasks and uplink rate. In order to solve this nonconvex problem, we propose a novel alternate interior-point iterative scheme (AIIS) under the constraints of computing tasks, energy consumption and time latency. Numerical simulations demonstrate the effectiveness of the proposed scheme comparing with the benchmark schemes.

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Optimization of Achievable Rate in the Multiuser Satellite IoT System With SWIPT and MEC

Cited by 25 publications

References 27 publications

6G Internet of Things: A Comprehensive Survey

6G Internet of Things: A Comprehensive Survey

Energy Efficient SWIPT Based Mobile Edge Computing Framework for WSN-Assisted IoT

Optimization of The Energy Efficiency in Smart Internet of Vehicles Assisted By MEC

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