☆ 4.7 Article

Complexity and algorithm of setting optimal location for data sink in real-time NOMA-based IIoTs

COMPUTER COMMUNICATIONS (2024)

Related references

Note: Only part of the references are listed.

Article Computer Science, Information Systems

Demand Response in NOMA-Based Mobile Edge Computing: A Two-Phase Game-Theoretical Approach

Guangming Cui et al.

Summary: Mobile edge computing (MEC) is a key technology for 5G networks, reducing network latency by deploying edge servers close to mobile users. However, the energy consumption and carbon emissions of these servers require demand response management. This paper proposes a game-theoretical approach to address the demand response problem in MEC.

IEEE TRANSACTIONS ON MOBILE COMPUTING (2023)

Add to Collection

Article Computer Science, Information Systems

Cost-Effective User Allocation in 5G NOMA-Based Mobile Edge Computing Systems

Phu Lai et al.

Summary: Mobile edge computing (MEC) enables edge servers to be placed at cellular base stations, allowing app vendors to deploy latency-sensitive applications. This study investigates the edge user allocation (EUA) problem in 5G NOMA-based MEC systems and introduces a game-theoretic approach to help mobile app vendors maximize their benefit.

IEEE TRANSACTIONS ON MOBILE COMPUTING (2022)

Add to Collection

Article Computer Science, Information Systems

Energy-Efficient Non-Orthogonal Multiple Access for Downlink Communication in Mobile Edge Computing Systems

Lin Zhang et al.

Summary: This paper proposes an energy-efficient multi-carrier non-orthogonal multiple access (MC-NOMA) design for downlink mobile edge computing (MEC) networks. By optimizing the interference cancellation policy, power allocation, and frequency block allocation, the proposed scheme achieves better service efficiency and energy consumption performance for IoT devices.

IEEE TRANSACTIONS ON MOBILE COMPUTING (2022)

Add to Collection

Article Computer Science, Information Systems

Short packet communications for cooperative UAV-NOMA-based IoT systems with SIC imperfections

Tien-Tung Nguyen et al.

Summary: In this paper, a non-orthogonal multiple access (NOMA)-enabled unmanned aerial vehicle (UAV)-aided Internet of Things (IoT) system with short packet communications over Nakagami-m fading channel is investigated. The performance of the system is evaluated by determining the cumulative distribution function of the received signal-to-interference-plus-noise ratio. The results show that increasing the number of antennas at the UAV significantly improves the performance of the users, and the system achieves diversity gain at high signal-to-noise ratio regime.

COMPUTER COMMUNICATIONS (2022)

Add to Collection

Article Engineering, Electrical & Electronic

Resource Allocation for Energy-Efficient MEC in NOMA-Enabled Massive IoT Networks

Binghong Liu et al.

Summary: In this article, the integration of mobile edge computing (MEC) into the Internet of Things (IoT) to provide high quality of service is explored through the application of non-orthogonal multiple access (NOMA) technique for energy-efficient MEC in IoT networks. A complicated resource allocation problem is formulated and decomposed into separate radio and computation resource allocation problems, which are further optimized using matching, sequential convex programming, and Knapsack methods. The proposed scheme significantly improves the energy efficiency of NOMA-enabled MEC in IoT networks compared to existing baselines, as validated by numerical results.

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2021)

Add to Collection

Article Computer Science, Information Systems

When Mobile-Edge Computing (MEC) Meets Nonorthogonal Multiple Access (NOMA) for the Internet of Things (IoT): System Design and Optimization

Jianbo Du et al.

Summary: The article discusses a NOMA-MEC-based Internet-of-Things network and proposes a joint optimization framework to maximize effective system capacity and total energy saving. The effective system capacity is improved by introducing NOMA from the wireless side and optimizing task offloading decisions from the IoT device side, while energy saving is maximized through computation resource allocation on the device-side and various techniques on the wireless side. The proposed joint optimization algorithm demonstrates good performance in both effective system capacity optimization and energy saving maximization through abundant simulation results.

IEEE INTERNET OF THINGS JOURNAL (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Online Task Scheduling and Resource Allocation for Intelligent NOMA-Based Industrial Internet of Things

Kunlun Wang et al.

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Delay-Aware Computation Offloading in NOMA MEC Under Differentiated Uploading Delay

Min Sheng et al.

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (2020)

Add to Collection

Article Computer Science, Information Systems

NOMA-Enabled Mobile Edge Computing for Internet of Things via Joint Communication and Computation Resource Allocations

Li Ping Qian et al.

IEEE INTERNET OF THINGS JOURNAL (2020)

Add to Collection

Article Telecommunications

Completion-Time-Driven Scheduling for Uplink NOMA-Enabled Wireless Networks

Maryam Mohsenivatani et al.

IEEE COMMUNICATIONS LETTERS (2020)

Add to Collection

Article Computer Science, Information Systems

Shortest Uplink Scheduling for NOMA-Based Industrial Wireless Networks

Chaonong Xu et al.

IEEE SYSTEMS JOURNAL (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Delay Minimization for Massive Internet of Things With Non-Orthogonal Multiple Access

Daosen Zhai et al.

IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (2019)

Add to Collection

Article Computer Science, Information Systems

Delay Minimization for NOMA-Assisted MEC Under Power and Energy Constraints

Ming Zeng et al.

IEEE WIRELESS COMMUNICATIONS LETTERS (2019)

Add to Collection

Article Computer Science, Hardware & Architecture

Complexity of minimum uplink scheduling in backbone-assisted successive interference cancellation-based wireless networks

Chaonong Xu et al.

COMPUTER NETWORKS (2018)

Add to Collection

Article Computer Science, Information Systems

Optimal Power Allocation and Scheduling for Non-Orthogonal Multiple Access Relay-Assisted Networks

Yuan Wu et al.

IEEE TRANSACTIONS ON MOBILE COMPUTING (2018)

Add to Collection

Article Engineering, Electrical & Electronic

Optimal Power Scheduling for Uplink Transmissions in SIC-Based Industrial Wireless Networks With Guaranteed Real-Time Performance

Chaonong Xu et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2018)

Add to Collection

Article Computer Science, Information Systems

Uplink Scheduling in Wireless Networks with Successive Interference Cancellation

Mohsen Mollanoori et al.

IEEE TRANSACTIONS ON MOBILE COMPUTING (2014)

Add to Collection

Article Computer Science, Information Systems

Scheduling with interference decoding: Complexity and algorithms

O. Goussevskaia et al.

AD HOC NETWORKS (2013)

Add to Collection

Article Engineering, Electrical & Electronic

On Optimal Link Activation With Interference Cancelation in Wireless Networking

Di Yuan et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2013)

Add to Collection

© Peeref 2019-2024. All rights reserved.