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Energy Efficient Design and Control of Non-orthogonal Multiple Access Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: closed (30 December 2020) | Viewed by 12215

Special Issue Editor


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Guest Editor
School of Electronic Engineering, Soongsil University, Seoul 156-743, Republic of Korea
Interests: communication systems; wireless communications; signal processing for communications; full-duplex radio; massive MIMO; non-orthogonal multiple access; unmanned aerial vehicle communications
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Special Issue Information

Dear Colleagues,

Non-orthogonal multiple access (NOMA) has recently been recognized as a promising solution for cellular systems to meet exponentially growing demands for mobile data over limited radio spectrum. The key principle of NOMA is to enable multiple concurrent transmissions by allocating different portions of the total power or difficent codes to multiple users over the same spectrum. Accordingly, NOMA can bring substantial enhancement in the spectral efficiency of cellular systems. There have been a lot of preceding works on NOMA design form the viewpoint of spectral efficiency. However, multiple concurrent transmissions and interference cancellation of NOMA principle will complicate the overall system, increasing energy consumption. Along with the spectral efficiency, the energy efficiency is an important design criterion for the next generation of mobile communications. Nevertheless, energy efficient design and control in the context of NOMA has been less investigated and there are many important open problems and challenges.

This special issue solicits high-quality papers from academia an industry in the area of NOMA with emphasis on energy efficient design and control. Both comprehensive surveys and original technical contributions on all aspects are welcome.  Potential topics include but are not limited to the following:

  • NOMA transmission techniques
  • Performance analysis of NOMA
  • Energy efficient design of NOMA
  • Energy efficient control of NOMA
  • Resource allocation and optimization for NOMA
  • MIMO techniques for NOMA
  • Emerging applications of NOMA
  • Implementation and prototyping of NOMA
  • Applications of machine learning to NOMA

Prof. Oh-Soon Shin
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Non-orthogonal multiple access (NOMA)
  • Energy efficiency
  • Optimization
  • Resource allocation
  • MIMO signal processing
  • Cellular systems

Published Papers (5 papers)

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Editorial

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2 pages, 148 KiB  
Editorial
Energy Efficient Design and Control of Non-Orthogonal Multiple Access Systems
by Oh-Soon Shin
Energies 2022, 15(3), 764; https://doi.org/10.3390/en15030764 - 21 Jan 2022
Viewed by 917
Abstract
Non-orthogonal multiple access (NOMA) has recently been recognized as a promising solution for cellular systems to meet exponentially growing demands for mobile data over limited radio spectrum [...] Full article

Research

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18 pages, 527 KiB  
Article
Rate Fairness and Power Consumption Optimization for NOMA-Assisted Downlink Networks
by Kha-Hung Nguyen, Hieu V. Nguyen, Mai T. P. Le, Tuan X. Cao and Oh-Soon Shin
Energies 2021, 14(1), 58; https://doi.org/10.3390/en14010058 - 24 Dec 2020
Cited by 7 | Viewed by 1890
Abstract
This paper considers a non-orthogonal multiple access (NOMA) downlink network, where a hybrid of NOMA and beamforming designs is developed to enhance the channel capacity. We aim to improve the system performance in terms of rate fairness and power consumption. Hence, a multi-objective [...] Read more.
This paper considers a non-orthogonal multiple access (NOMA) downlink network, where a hybrid of NOMA and beamforming designs is developed to enhance the channel capacity. We aim to improve the system performance in terms of rate fairness and power consumption. Hence, a multi-objective problem with a joint optimization of user equipment pairing, power control, and quality-of-service requirements is addressed. To efficiently solve the problem, we propose two low-complexity algorithms based on the inner-approximation method, with the first algorithm using the relaxation method and the second one using graph theory. Numerical results are provided to demonstrate the effectiveness of the two proposed algorithms in comparison with the exhaustive search and existing methods. Full article
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12 pages, 6225 KiB  
Article
Deep Learning Based Successive Interference Cancellation Scheme in Nonorthogonal Multiple Access Downlink Network
by Isaac Sim, Young Ghyu Sun, Donggu Lee, Soo Hyun Kim, Jiyoung Lee, Jae-Hyun Kim, Yoan Shin and Jin Young Kim
Energies 2020, 13(23), 6237; https://doi.org/10.3390/en13236237 - 26 Nov 2020
Cited by 12 | Viewed by 2917
Abstract
In this paper, a deep learning-based successive interference cancellation (SIC) scheme for use in nonorthogonal multiple access (NOMA) communication systems is investigated. NOMA has become a notable technique in the field of mobile wireless communication because of its capacity to overcome orthogonality, unlike [...] Read more.
In this paper, a deep learning-based successive interference cancellation (SIC) scheme for use in nonorthogonal multiple access (NOMA) communication systems is investigated. NOMA has become a notable technique in the field of mobile wireless communication because of its capacity to overcome orthogonality, unlike a conventional orthogonal frequency division multiple access (OFDMA) communication system. In NOMA communication systems, SIC is one of the decoding schemes applied at receivers for downlink NOMA transmissions. In this paper, a convolutional neural network (CNN)-based SIC scheme is proposed to improve performance of the single base station and multiuser NOMA scheme. In contrast to existing SIC schemes, the proposed CNN-based SIC scheme can effectively mitigate losses resulting from imperfections of the SIC. The simulation results indicate that the CNN-based SIC method can successfully relieve conventional SIC impairments and achieve good detection performance. Consequently, a CNN-based SIC scheme can be considered as a potential technique for use in NOMA detection schemes. Full article
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22 pages, 1035 KiB  
Article
Particle Swarm Optimization-Based Secure Computation Efficiency Maximization in a Power Beacon-Assisted Wireless-Powered Mobile Edge Computing NOMA System
by Carla E. Garcia, Mario R. Camana and Insoo Koo
Energies 2020, 13(21), 5540; https://doi.org/10.3390/en13215540 - 22 Oct 2020
Cited by 12 | Viewed by 1993
Abstract
In this paper, we aim to provide reliable user connectivity and enhanced security for computation task offloading. Physical layer security is studied in a wireless-powered non-orthogonal multiple access (NOMA) mobile edge computing (MEC) system with a nonlinear energy-harvesting (EH) user and a power [...] Read more.
In this paper, we aim to provide reliable user connectivity and enhanced security for computation task offloading. Physical layer security is studied in a wireless-powered non-orthogonal multiple access (NOMA) mobile edge computing (MEC) system with a nonlinear energy-harvesting (EH) user and a power beacon (PB) in the presence of an eavesdropper. To further provide a friendly environment resource allocation design, wireless power transfer (WPT) is applied. The secure computation efficiency (SCE) problem is solved by jointly optimizing the transmission power, the time allocations for energy transfer, the computation time, and the central processing unit (CPU) frequency in the NOMA-enabled MEC system. The problem is non-convex and challenging to solve because of the complexity of the objective function in meeting constraints that ensure the required quality of service, such as the minimum value of computed bits, limitations on total energy consumed by users, maximum CPU frequency, and minimum harvested energy and computation offloading times. Therefore, in this paper, a low-complexity particle swarm optimization (PSO)-based algorithm is proposed to solve this optimization problem. For comparison purposes, time division multiple access and fully offloading baseline schemes are investigated. Finally, simulation results demonstrate the superiority of the proposed approach over baseline schemes. Full article
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Review

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20 pages, 3129 KiB  
Review
A Survey on Non-Orthogonal Multiple Access: From the Perspective of Spectral Efficiency and Energy Efficiency
by Hieu V. Nguyen, Hyeon Min Kim, Gil-Mo Kang, Kha-Hung Nguyen, Van-Phuc Bui and Oh-Soon Shin
Energies 2020, 13(16), 4106; https://doi.org/10.3390/en13164106 - 8 Aug 2020
Cited by 24 | Viewed by 4068
Abstract
Non-orthogonal multiple access (NOMA) is a promising technology for next-generation wireless networks with emerging demands on low latency, high throughput, and massive connectivity. Unlike orthogonal multiple access, NOMA allows multiple users to share the same radio resources, which significantly improves spectral efficiency (SE). [...] Read more.
Non-orthogonal multiple access (NOMA) is a promising technology for next-generation wireless networks with emerging demands on low latency, high throughput, and massive connectivity. Unlike orthogonal multiple access, NOMA allows multiple users to share the same radio resources, which significantly improves spectral efficiency (SE). To achieve green wireless communications for numerous networked devices, NOMA helps reduce energy consumption while satisfying rate fairness and quality-of-experience requirements. The goal of this paper is to introduce the innovative approaches for NOMA in terms of the SE and energy efficiency, and discuss emerging technologies involved with NOMA. Further, its challenges and future research directions are highlighted. Full article
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