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Electronics
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Wireless Communication and Networking for 5G
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Wireless Communication and Networking for 5G

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (31 August 2020) | Viewed by 11667

Special Issue Editor

Prof. Dr. Lutful Karim

E-Mail Website
Guest Editor
School of ICT, Seneca College of Applied Arts and Technology, Toronto, ON, Canada
Interests: wireless communication and networking; mobile computing; crowdsourcing; crowdsensing; opportunistic communication; wireless sensor network
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The 5G and beyond 5G (B5G) networks are customized to support the three key services: enhanced Mobile Broadband (eMBB) or handsets; (ii) ultra-reliable low-latency communications (URLLC), which include industrial applications and autonomous vehicles; and (iii) massive machine-type communications (mMTC) or sensors. Performance evaluation of eMBB, Mmtc, and URLLC requirements is difficult due to the diverse applications and simultaneous requirements of 5G. Initially, the 5G with cloud radio access networks (C-RANs) focused on eMBB and fixed wireless, which make use of many of the same capabilities as LTE/LTE-A. However, there are several research approaches for investigating the resource management of 5G/B5G with the integration of cloud/edge computing to support ultra-reliable, low-latency, and massive machine type communications. On the other hand, the 5G new radio (NR) is a new technological solution to support IMT 2020 requirements, being able to support a diverse set of services with different characteristics and quality-of-service (QoS) targets. Integrating the 5G new radio framework with C-RANs and vehicle-to-everything (V2X) architectures to manage computing and communication resources to overcome some of the challenges for supporting URLLC, mMTC applications.  

General topics covered in this Special Issue include, but are not limited to:

  • Computing and communication resource management for 5G, C-RANs, and V2x;
  • Architectural or technological solutions for RAN data collection and management including cloud/edge/fog computing;
  • Fog/edge computing-enabled 5G/B5G networks;
  • Industrial Internet of Things (I-IoT) and cellular Internet of Things (C-IoT);
  • NR for eMBB, mMTC, URLLC, I-IoT, and C-IoT;
  • Mobility management and massive access control for mMTC, massive IoT;
  • Capacity analysis and fundamental performance limits;
  • Local area networks for 5G;
  • Network slicing.

Prof. Dr. Lutful Karim
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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.

Published Papers (4 papers)

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31 pages, 5360 KiB  
Article
Cooperative Admission Control with Network Coding in 5G Underlying D2D-Satellite Communication
by Asfandyar Awan, Zhao Qi, Shan Hu and Lijiang Chen
Electronics 2020, 9(10), 1601; https://doi.org/10.3390/electronics9101601 - 30 Sep 2020
Viewed by 1709
Abstract
Cooperative communication supported by device to device (D2D)-LEO earthed satellite increases the performance of the resilient network and offloads base station. Additionally, network coding in a packet-based cooperative framework provides diversity and speedy recovery of lost packets. Cooperative communication advantages are subject to [...] Read more.
Cooperative communication supported by device to device (D2D)-LEO earthed satellite increases the performance of the resilient network and offloads base station. Additionally, network coding in a packet-based cooperative framework provides diversity and speedy recovery of lost packets. Cooperative communication advantages are subject to effective joint admission control strengthened by network coding for multiple interfaces. Joint admission control with network coding involves multiple constraints in terms of user selection, mode assignment, power allocation, and interface-based network codewords, which is challenging to solve collectively. Sub-problematization and its heuristic solution lead to a less complex solution. First, the adaptive terrestrial satellite power sentient network (ATSPSN) algorithm is proposed based on low complex convex linearization of mix integer non-linear problem (MINLP), NP-hard. ATSPSN provides optimum power allocation, mode assignment, and user selection based on joint channel conditions. Second, a multiple access network coding algorithm (MANC) is developed underlying the D2D-satellite network, which provides novel multiple interface random linear network codewords. At the end, the bi-directional matching algorithm aiming for joint admission control with network coding, named JAMANC-stream and JAMANC-batch communication, is proposed. JAMANC algorithm leads to a less complex solution and provides improved results in terms of capacity, power efficiency, and packet completion time. The theoretical lower and upper bounds are also derived for comparative study. Full article
(This article belongs to the Special Issue Wireless Communication and Networking for 5G)
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15 pages, 1215 KiB  
Article
PAPR Reduction in UFMC for 5G Cellular Systems
by Mohammed I. Al-Rayif, Hussein E. Seleem, Amr M. Ragheb and Saleh A. Alshebeili
Electronics 2020, 9(9), 1404; https://doi.org/10.3390/electronics9091404 - 30 Aug 2020
Cited by 20 | Viewed by 4249
Abstract
Universal filtered multi-carrier (UFMC) is a potential multi-carrier system for future cellular networks. UFMC provides low latency, frequency offset robustness, and reduced out-of-band (OOB) emission that results in better spectral efficiency. However, UFMC suffers from the problem of high peak-to-average power ratio (PAPR), [...] Read more.
Universal filtered multi-carrier (UFMC) is a potential multi-carrier system for future cellular networks. UFMC provides low latency, frequency offset robustness, and reduced out-of-band (OOB) emission that results in better spectral efficiency. However, UFMC suffers from the problem of high peak-to-average power ratio (PAPR), which might impact the function of high power amplifiers causing a nonlinear distortion. We propose a comparative probabilistic PAPR reduction technique, called the decomposed selective mapping approach, to alleviate PAPR in UFMC systems. The concept of this proposal depends on decomposing the complex symbol into real and imaginary parts, and then converting each part to a number of different phase vectors prior to the inverse fast Fourier transform (IFFT) operation. The IFFT copy, which introduces the lowest PAPR, is considered for transmission. Results obtained using theoretical analysis and simulations show that the proposed approach can significantly enhance the performance of the UFMC system in terms of PAPR reduction. Besides, it maintains the OOB emission with candidate bit error rate and error vector magnitude performances. Full article
(This article belongs to the Special Issue Wireless Communication and Networking for 5G)
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27 pages, 1099 KiB  
Article
An Efficient Resource Allocation for Massive MTC in NOMA-OFDMA Based Cellular Networks
by Yali Wu, Shuang Zhang, Zhengxuan Liu, Xiaoshuang Liu and Jianfeng Li
Electronics 2020, 9(5), 705; https://doi.org/10.3390/electronics9050705 - 25 Apr 2020
Cited by 1 | Viewed by 2141
Abstract
To alleviate random access congestion and support massive-connections with less energy consumption for machine-type communications (MTC) in the 5G cellular network, we propose an efficient resource allocation for massive MTC (mMTC) with hybrid non-orthogonal multiple access (NOMA)-orthogonal frequency division multiple access (OFDMA). First, [...] Read more.
To alleviate random access congestion and support massive-connections with less energy consumption for machine-type communications (MTC) in the 5G cellular network, we propose an efficient resource allocation for massive MTC (mMTC) with hybrid non-orthogonal multiple access (NOMA)-orthogonal frequency division multiple access (OFDMA). First, a hybrid multiple access scheme, including the NOMA-based congestion-alleviating access scheme (NCAS) and OFDMA-based congestion-alleviating access scheme (OCAS), is proposed, in which the NOMA based devices coexist with OFDMA based ones. Then, aiming at maximizing the system access capacity, a traffic-aware resource blocks (RBs) allocation is investigated to optimize RBs allocation for preamble transmission and data packets transmission, as well as to optimize the RBs allocation between NCAS and OCAS for the RBs usage efficiency improvement. Next, aiming at the problem of high computational complexity and improving energy efficiency in hybrid NOMA-OFDMA based cellular M2M communications, this paper proposes an improved low complexity power allocation algorithm. The feasibility conditions of power allocation solution under the maximum transmit power constraints and quality of service (QoS) requirements of the devices is investigated. The original non-convex optimization problem is solved under the feasibility conditions by two iterative algorithms. Finally, a device clustering scheme is proposed based on the channel gain difference and feasible condition of power allocation solution, by which NOMA based devices and OFDMA based devices can be determined. Simulation results show that compared with non-orthogonal random access and transmission (NORA-DT), the proposed resource allocation scheme for hybrid NOMA-OFDMA systems can efficiently improve the performance of access capacity and energy efficiency. Full article
(This article belongs to the Special Issue Wireless Communication and Networking for 5G)
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13 pages, 627 KiB  
Article
Energy Efficient Power Domain Non-Orthogonal Multiple Access Based Cellular Device-to-Device Communication for 5G Networks
by Mohammed S. Al-kahtani, Lilatul Ferdouse and Lutful Karim
Electronics 2020, 9(2), 237; https://doi.org/10.3390/electronics9020237 - 1 Feb 2020
Cited by 14 | Viewed by 2532
Abstract
This paper examines the resource block and power allocation in the power domain non-orthogonal multiple access (PD-NOMA) based cellular device-to-device (D2D) systems. To improve the energy efficiency of the D2D systems and to manage the mutual interference level as well as the quality [...] Read more.
This paper examines the resource block and power allocation in the power domain non-orthogonal multiple access (PD-NOMA) based cellular device-to-device (D2D) systems. To improve the energy efficiency of the D2D systems and to manage the mutual interference level as well as the quality of service (QoS) requirement of cellular users, different power level is applied to the D2D users sharing the same resource blocks (RBs) to the legacy users. It is essential to design an efficient resource block and power allocation method for PD-NOMA based cellular D2D systems which guarantee the successive interference cancellation (SIC) order in the power allocation solution. In this paper, we propose an iterative algorithm of resource block and power allocation for cellular D2D system which incorporates the SIC aware geometric water filling (GWF) method in the power allocation solution. It is shown that the proposed SIC aware geometric water filling achieves higher energy efficiency compared to iterative water-filling (IWF) power allocation and the GWF based orthogonal multiple access (OMA) method. Full article
(This article belongs to the Special Issue Wireless Communication and Networking for 5G)
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