Toward a New Era of Radio Access Technologies for 5G and Beyond

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (15 May 2021) | Viewed by 16657

Special Issue Editor


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Guest Editor
Wireless & Emerging Network System Lab, Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gyeongbuk 39177, Republic of Korea
Interests: 5G & beyond radio access technology; wireless communication and network; embedded system; ICT convergence system etc.
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Special Issue Information

In the near future, the number of devices connected to communication networks is expected to dramatically increase. To provide connectivity to this massive number of devices and to fulfill their quality of service (QoS) requirements, there is an inevitable need for new mobile communications systems with significantly enhanced capabilities. This is the primary driving force of the fifth generation and beyond (B5G) wireless systems.

In the previous communication systems and existing LTE/LTE-Advanced systems, multiple access (MA) techniques such as timed division multiple access (TDMA), frequency division multiple access (FDMA), and orthogonal frequency division multiple access (OFDMA) were used. These MA schemes were based on the orthogonality principle, where a particular resource block (RB) is used by a single user, thereby avoiding inter-user interference. However, in recent years, researchers have moved towards breaking the orthogonality, thereby finding ways of user multiplexing over the same RB. Hence, a novel concept of non-orthogonal multiple access (NOMA) was introduced to handle the huge connectivity concerns of 5G. NOMA as a multiple access scheme and several pulse-shaping techniques have been presented by researchers to increase systems’ spectral efficiency. Further, for future communications, some state-of-the-art techniques need to be discovered to develop compatible systems for B5G.

The modern radio access technologies (RATs) have the potential to make their place in the next generation networks, and research activity in this area is at a peak level. There will be new challenges when these RATs are practically implemented as a part of future networks. Considering the importance of the research question to be investigated in this Special Issue, it has excellent potential to gain recognition from the research community around the globe. Moreover, this Special Issue is expected to provide substantial performance gains, justifying its importance and contribution towards future generation networks.

The topics in this Special Issue include but are not limited to:

  • Advanced multiple access techniques for 5G and beyond;
  • Massive multi-antenna transmission and intelligent surfaces;
  • Massive connectivity, massive IoTs, and mMTC;
  • Smart and real-time systems for industrial IoT;
  • Narrow-band transmissions and mmWave;
  • Channel modeling, antenna design, modulation, and coding;
  • Energy efficiency and green communication for 5G technologies;
  • Spectral efficiency, capacity, and QoS analysis for 5G systems;
  • Deep learning techniques for 5G communication;
  • Advanced optimization and game theory techniques for 5G systems;
  • Resource management techniques for wireless networks;
  • Physical layer security for 5G systems.

Prof. Dr. Soo Young Shin
Guest Editor

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Published Papers (4 papers)

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Research

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12 pages, 435 KiB  
Article
Orbital Angular Momentum-Based Multiple-Input-Multiple- Output with Receive Antenna Shift Keying for 6G
by Sang-Hoon Lee, Ahmed Al Amin and Soo-Young Shin
Electronics 2021, 10(13), 1567; https://doi.org/10.3390/electronics10131567 - 29 Jun 2021
Cited by 2 | Viewed by 1787
Abstract
Spectral efficiency is a major concern for future 6G wireless communication systems. Thus, an appropriate scheme is needed to provide channel capacity improvement for multiple transmitters and receiver-based wireless communication systems without consuming extra resource for communication (e.g., frequency/time/code) or causing interference. Therefore, [...] Read more.
Spectral efficiency is a major concern for future 6G wireless communication systems. Thus, an appropriate scheme is needed to provide channel capacity improvement for multiple transmitters and receiver-based wireless communication systems without consuming extra resource for communication (e.g., frequency/time/code) or causing interference. Therefore, to fulfill the mentioned requirements for the future 6G wireless network, orbital angular momentum-based multiple-input-multiple-output (OAM-MIMO) multiplexing technique is incorporated with the receive antenna shift keying (RASK) technique in this study (termed as the OAM-MIMO-RASK scheme). OAM-MIMO-RASK can transfer multiple symbols from multiple transmitters to different receivers simultaneously by using multiple subchannels using the OAM and RASK techniques without any interference or additional resource (frequency/time/code). The numerical results illustrated that the proposed OAM-MIMO-RASK can achieve almost double capacity than the existing OAM-MIMO scheme and significantly higher capacity than the existing RASK-based scheme for different values of signal-to-noise ratio. Moreover, the simulation result is validated by the theoretical result which is also shown by the numerical result. In addition, due to different normalized distances from the transmitters and receivers, the proposed OAM-MIMO-RASK scheme can achieve almost double capacity than the existing OAM-MIMO scheme by using OAM-MIMO and RASK technique effectively which is also depicted by the numerical results. Full article
(This article belongs to the Special Issue Toward a New Era of Radio Access Technologies for 5G and Beyond)
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22 pages, 2628 KiB  
Article
Network Slicing on 5G Vehicular Cloud Computing Systems
by Emmanouil Skondras, Angelos Michalas, Dimitrios J. Vergados, Emmanouel T. Michailidis, Nikolaos I. Miridakis and Dimitrios D. Vergados
Electronics 2021, 10(12), 1474; https://doi.org/10.3390/electronics10121474 - 19 Jun 2021
Cited by 15 | Viewed by 2436
Abstract
Fifth generation Vehicular Cloud Computing (5G-VCC) systems support various services with strict Quality of Service (QoS) constraints. Network access technologies such as Long-Term Evolution Advanced Pro with Full Dimensional Multiple-Input Multiple-Output (LTE-A Pro FD-MIMO) and LTE Vehicle to Everything (LTE-V2X) undertake the service [...] Read more.
Fifth generation Vehicular Cloud Computing (5G-VCC) systems support various services with strict Quality of Service (QoS) constraints. Network access technologies such as Long-Term Evolution Advanced Pro with Full Dimensional Multiple-Input Multiple-Output (LTE-A Pro FD-MIMO) and LTE Vehicle to Everything (LTE-V2X) undertake the service of an increasing number of vehicular users, since each vehicle could serve multiple passenger with multiple services. Therefore, the design of efficient resource allocation schemes for 5G-VCC infrastructures is needed. This paper describes a network slicing scheme for 5G-VCC systems that aims to improve the performance of modern vehicular services. The QoS that each user perceives for his services as well as the energy consumption that each access network causes to user equipment are considered. Subsequently, the satisfactory grade of the user services is estimated by taking into consideration both the perceived QoS and the energy consumption. If the estimated satisfactory grade is above a predefined service threshold, then the necessary Resource Blocks (RBs) from the current Point of Access (PoA) are allocated to support the user’s services. On the contrary, if the estimated satisfactory grade is lower than the aforementioned threshold, additional RBs from a Virtual Resource Pool (VRP) located at the Software Defined Network (SDN) controller are committed by the PoA in order to satisfy the required services. The proposed scheme uses a Management and Orchestration (MANO) entity implemented by a SDN controller, orchestrating the entire procedure avoiding situations of interference from RBs of neighboring PoAs. Performance evaluation shows that the suggested method improves the resource allocation and enhances the performance of the offered services in terms of packet transfer delay, jitter, throughput and packet loss ratio. Full article
(This article belongs to the Special Issue Toward a New Era of Radio Access Technologies for 5G and Beyond)
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17 pages, 1239 KiB  
Article
Deep Learning-Based Power Control Scheme for Perfect Fairness in Device-to-Device Communication Systems
by Donghyeon Kim and In-Ho Lee
Electronics 2020, 9(10), 1606; https://doi.org/10.3390/electronics9101606 - 1 Oct 2020
Cited by 4 | Viewed by 2123
Abstract
The proximity-based device-to-device (D2D) communication allows for internet of things, public safety, and data offloading services. Because of these advantages, D2D communication has been applied to wireless communication networks. In wireless networks using D2D communication, there are challenging problems of the data rate [...] Read more.
The proximity-based device-to-device (D2D) communication allows for internet of things, public safety, and data offloading services. Because of these advantages, D2D communication has been applied to wireless communication networks. In wireless networks using D2D communication, there are challenging problems of the data rate shortage and coverage limitation due to co-channel interference in the proximity communication. To resolve the problems, transmit power control schemes that are based on deep learning have been presented in network-assisted D2D communication systems. The power control schemes have focused on enhancing spectral efficiency and energy efficiency in the presence of interference. However, the data-rate fairness performance may be a key performance metric in D2D communications, because devices in proximity can expect fair quality of service in the system. Hence, in this paper, a transmit power control scheme using a deep-learning algorithm based on convolutional neural network (CNN) is proposed to consider the data-rate fairness performance in network-assisted D2D communication systems, where the wireless channels are modelled by path loss and Nakagami fading. In the proposed scheme, the batch normalization (BN) scheme is introduced in order to further enhance the spectral efficiency of the conventional deep-learning transmit power control scheme. In addition, a loss function for the deep-learning optimization is defined in order to consider both the data-rate fairness and spectral efficiency. Through simulation, we show that the proposed scheme can achieve extremely high fairness performance while improving the spectral efficiency of the conventional schemes. It is also shown that the improvement in the fairness and spectral efficiency is achieved for different Nakagami fading conditions and sizes of area containing the devices. Full article
(This article belongs to the Special Issue Toward a New Era of Radio Access Technologies for 5G and Beyond)
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Review

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39 pages, 2017 KiB  
Review
Issues, Challenges, and Research Trends in Spectrum Management: A Comprehensive Overview and New Vision for Designing 6G Networks
by Faizan Qamar, Maraj Uddin Ahmed Siddiqui, MHD Nour Hindia, Rosilah Hassan and Quang Ngoc Nguyen
Electronics 2020, 9(9), 1416; https://doi.org/10.3390/electronics9091416 - 1 Sep 2020
Cited by 68 | Viewed by 9511
Abstract
With an extensive growth in user demand for high throughput, large capacity, and low latency, the ongoing deployment of Fifth-Generation (5G) systems is continuously exposing the inherent limitations of the system, as compared with its original premises. Such limitations are encouraging researchers worldwide [...] Read more.
With an extensive growth in user demand for high throughput, large capacity, and low latency, the ongoing deployment of Fifth-Generation (5G) systems is continuously exposing the inherent limitations of the system, as compared with its original premises. Such limitations are encouraging researchers worldwide to focus on next-generation 6G wireless systems, which are expected to address the constraints. To meet the above demands, future radio network architecture should be effectively designed to utilize its maximum radio spectrum capacity. It must simultaneously utilize various new techniques and technologies, such as Carrier Aggregation (CA), Cognitive Radio (CR), and small cell-based Heterogeneous Networks (HetNet), high-spectrum access (mmWave), and Massive Multiple-Input-Multiple-Output (M-MIMO), to achieve the desired results. However, the concurrent operations of these techniques in current 5G cellular networks create several spectrum management issues; thus, a comprehensive overview of these emerging technologies is presented in detail in this study. Then, the problems involved in the concurrent operations of various technologies for the spectrum management of the current 5G network are highlighted. The study aims to provide a detailed review of cooperative communication among all the techniques and potential problems associated with the spectrum management that has been addressed with the possible solutions proposed by the latest researches. Future research challenges are also discussed to highlight the necessary steps that can help achieve the desired objectives for designing 6G wireless networks. Full article
(This article belongs to the Special Issue Toward a New Era of Radio Access Technologies for 5G and Beyond)
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