scholarly journals Backscatter Communications: Inception of the Battery-Free Era—A Comprehensive Survey

Electronics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 129 ◽  
Author(s):  
Mudasar Memon ◽  
Navrati Saxena ◽  
Abhishek Roy ◽  
Dong Shin

The ever increasing proliferation of wireless objects and consistent connectivity demands are creating significant challenges for battery-constrained wireless devices. The vision of massive IoT, involving billions of smart objects to be connected to the cellular network, needs to address the problem of uninterrupted power consumption while taking advantage of emerging high-frequency 5G communications. The problem of limited battery power motivates us to utilize radio frequency (RF) signals as the energy source for battery-free communications in next-generation wireless networks. Backscatter communication (BackCom) makes it possible to harvest energy from incident RF signals and reflect back parts of the same signals while modulating the data. Ambient BackCom (Amb-BackCom) is a type of BackCom that can harvest energy from nearby WiFi, TV, and cellular RF signals to modulate information. The objective of this article is to review BackCom as a solution to the limited battery life problem and enable future battery-free communications for combating the energy issues for devices in emerging wireless networks. We first highlight the energy constraint in existing wireless communications. We then investigate BackCom as a practical solution to the limited battery life problem. Subsequently, in order to take the advantages of omnipresent radio waves, we elaborate BackCom tag architecture and various types of BackCom. To understand encoding and data extraction, we demonstrate signal processing aspects that cover channel coding, interference, decoding, and signal detection schemes. Moreover, we also describe BackCom communication modes, modulation schemes, and multiple access techniques to accommodate maximum users with high throughput. Similarly, to mitigate the increased network energy, adequate data and power transfer schemes for BackCom are elaborated, in addition to reliability, security, and range extension. Finally, we highlight BackCom applications with existing research challenges and future directions for next-generation 5G wireless networks.


Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8219
Author(s):  
Teena Sharma ◽  
Abdellah Chehri ◽  
Paul Fortier

With possible new use cases and demanding requirements of future 5th generation (5G) and beyond cellular networks, the future of mobile communications sounds promising. However, the propagation medium has been considered a randomly acting agent between the transmitter and the receiver. With the advent of the digital age of wireless communications, the received signal quality is degrading due to the uncontrollable interactions of the transmitted radio waves with the surrounding artifacts. This paper presents a comprehensive literature review on reconfigurable intelligent surfaces (RISs) and assisted application areas. With the RIS, the network operators can control radio waves’ scattering, reflection, and refraction characteristics by resolving the harmful properties of environmental wireless propagation. Further, the RIS can effectively control the wavefront, such as amplitude, phase, frequency, and even polarization, without requiring complex encoding, decoding, or radio wave processing techniques. Motivated by technological advances, the metasurfaces, reflectarrays, phase shift, and liquid crystals are potential candidates for implementing RIS. Thus, they can be considered the front runner for realizing the 5G and beyond network. Furthermore, the current research activities in the evolving field of wireless networks operated by RIS are reviewed and discussed thoroughly. Finally, to fully explore the potential of RISs in wireless networks, the fundamental research issues to be addressed have been discussed.



The 4G Wireless Networks (WN) have not only provided seamless connection; they also strive to provide Quality of Service (QoS) to the users. However, providing efficient QoS to the users is quite often challenging due to large number of users and significant traffic load. One of the popular techniques to provide consistent QoS to the user is Vertical Handoff (VH). The main concept of VH is to migrate the user to another WN which can provide the requested QoS. Even though substantial contribution has been made in the literature for VH techniques, security oriented VH techniques are limited in number. Security aspect has become critical in Next Generation WN, due to new form of threats which are being introduced, and VH techniques also need to focus on security issues to provide safe and robust communication. In the literature, survey on different security threats, secure VH techniques and future issues has not been effectively presented; in this work, comprehensive survey on all these aspects is presented to aid future research in secure VH



2016 ◽  
Vol 18 (3) ◽  
pp. 1617-1655 ◽  
Author(s):  
Mamta Agiwal ◽  
Abhishek Roy ◽  
Navrati Saxena


2020 ◽  
Vol 247 ◽  
pp. 108764 ◽  
Author(s):  
Shuiquan Tang ◽  
Aishani Prem ◽  
Joshua Tjokrosurjo ◽  
Mony Sary ◽  
Mikayla A. Van Bel ◽  
...  




Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 318
Author(s):  
Merima Kulin ◽  
Tarik Kazaz ◽  
Eli De Poorter ◽  
Ingrid Moerman

This paper presents a systematic and comprehensive survey that reviews the latest research efforts focused on machine learning (ML) based performance improvement of wireless networks, while considering all layers of the protocol stack: PHY, MAC and network. First, the related work and paper contributions are discussed, followed by providing the necessary background on data-driven approaches and machine learning to help non-machine learning experts understand all discussed techniques. Then, a comprehensive review is presented on works employing ML-based approaches to optimize the wireless communication parameters settings to achieve improved network quality-of-service (QoS) and quality-of-experience (QoE). We first categorize these works into: radio analysis, MAC analysis and network prediction approaches, followed by subcategories within each. Finally, open challenges and broader perspectives are discussed.



Author(s):  
Liang Zhou ◽  
Athanasios V. Vasilakos ◽  
Laurence T. Yang ◽  
Naixue Xiong




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