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A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (20 February 2022) | Viewed by 24702

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Special Issue Editors

Prof. Dr. Yingjie Jay Guo

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Guest Editor

Global Big Data Technologies Centre (GBDTC), Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW 2007, Australia
Interests: 5G and 6G antennas; in-band full duplex wireless communications systems; joint communications and sensing
Special Issues, Collections and Topics in MDPI journals

Dr. Andrew Zhang

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Guest Editor

The Global Big Data Technologies Centre, University of Technology Sydney, Sydney, NSW 2007, Australia
Interests: signal processing for wireless communication and sensing; joint communication and sensing; radio sensing and pattern analysis
Special Issues, Collections and Topics in MDPI journals

Dr. Can Ding

E-Mail Website
Guest Editor

Global Big Data Technologies Center, University of Technology Sydney, Ultimo, NSW 2007, Australia
Interests: antennas; optical sensors; AI

Special Issue Information

Dear Colleagues,

The development and deployment of fifth genartion (5G) and sixth generation (6G) wireless communications networks will enable a highly connected world from land and sea to space. Communications between people, vehicles, objects, and sensors and the abilities of the new generation of sensors will enable a wondrous world. We will have pervasive situation awareness of our physical world and real-time data about our environment. We shall be able to make intelligent in situ decisions based on big and dynamic data.

A number of cutting-edge technologies are currently being developed around the world to enable future communications and sensing networks. These include advanced antennas, novel transmission schemes and network architectures, and signal processing for joint communications and sensing, just to name a few.

The Special Issue aims to report the lastest advances in technologies for future communications and sensing. It is expected that the Special Issue will facilitate new research activities and publications in those areas.

The Sensors journal has been publishing papers on antennas, signal processing, and 5G radio technologies such as mutltiple input and multiple output (MIMO) systems. The Special Issue is expected to usher in new research activities for future communications and sensing systems and networks.

Prof. Dr. Yingjie Jay Guo
Prof. Dr. Andrew Zhang
Dr. Can Ding
Guest Editors

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. Sensors 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 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

future communications and sensing
antennas
signal processing
joint communications and sensing

Published Papers (7 papers)

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Research

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20 pages, 2913 KiB

Open AccessArticle

Analog-Domain Suppression of Strong Interference Using Hybrid Antenna Array

by Kai Wu, J. Andrew Zhang, Xiaojing Huang, Y. Jay Guo, Diep N. Nguyen, Asanka Kekirigoda and Kin-Ping Hui

Sensors 2022, 22(6), 2417; https://doi.org/10.3390/s22062417 - 21 Mar 2022

Cited by 3 | Viewed by 2149

Abstract

The proliferation of wireless applications, the ever-increasing spectrum crowdedness, as well as cell densification makes the issue of interference increasingly severe in many emerging wireless applications. Most interference management/mitigation methods in the literature are problem-specific and require some cooperation/coordination between different radio frequency systems. Aiming to seek a more versatile solution to counteracting strong interference, we resort to the hybrid array of analog subarrays and suppress interference in the analog domain so as to greatly reduce the required quantization bits of the analog-to-digital converters and their power consumption. To this end, we design a real-time algorithm to steer nulls towards the interference directions and maintain flat in non-interference directions, solely using constant-modulus phase shifters. To ensure sufficient null depth for interference suppression, we also develop a two-stage method for accurately estimating interference directions. The proposed solution can be applicable to most (if not all) wireless systems as neither training/reference signal nor cooperation/coordination is required. Extensive simulations show that more than 65 dB of suppression can be achieved for 3 spatially resolvable interference signals yet with random directions. Full article

(This article belongs to the Special Issue Communications and Sensing Technologies for the Future)

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15 pages, 660 KiB

Open AccessArticle

Federated Learning for 5G Radio Spectrum Sensing

by Małgorzata Wasilewska, Hanna Bogucka and Adrian Kliks

Sensors 2022, 22(1), 198; https://doi.org/10.3390/s22010198 - 28 Dec 2021

Cited by 16 | Viewed by 2664

Abstract

Spectrum sensing (SS) is an important tool in finding new opportunities for spectrum sharing. The users, called Secondary Users (SU), who do not have a license to transmit without hindrance, need to employ SS in order to detect and use the spectrum without interfering with the licensed users’ (primary users’ (PUs’)) transmission. Deep learning (DL) has proven to be a good choice as an intelligent SS algorithm that considers radio environmental factors in the decision-making process. It is impossible though for SU to collect the required data and train complex DL models. In this paper, we propose to employ a Federated Learning (FL) algorithm in order to distribute data collection and model training processes over many devices. The proposed method categorizes FL devices into groups by their mean Signal-to-Noise ratio (SNR) and creates a common DL model for each group in the iterative process. The results show that detection accuracy obtained via the FL algorithm is similar to detection accuracy obtained by employing several DL models, namely convolutional neural networks (CNNs), specialized in spectrum detection for a PU signal with a given mean SNR value. At the same time, the main goal of simplification of the SS process in the network is achieved. Full article

(This article belongs to the Special Issue Communications and Sensing Technologies for the Future)

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11 pages, 801 KiB

Open AccessCommunication

Angle-of-Arrival Estimation Using Difference Beams in Localized Hybrid Arrays

by Hang Li and Zhiqun Cheng

Sensors 2021, 21(5), 1901; https://doi.org/10.3390/s21051901 - 09 Mar 2021

Cited by 2 | Viewed by 2361

Abstract

Angle-of-arrival (AoA) estimation in localized hybrid arrays suffers from phase ambiguity owing to its localized structure and vulnerability to noise. In this letter, we propose a novel phase shift design, allowing each subarray to exploit difference beam steering in two potential AoA directions. This enables the calibration of cross-correlations and an enhanced phase offset estimation between adjacent subarrays. We propose two unambiguous AoA estimation schemes based on the even and odd ratios of the number of antennas per subarray N to the number of different phase shifts per symbol K (i.e.,

N / K

), respectively. The simulation results show that the proposed approach greatly improves the estimation accuracy as compared to the state of the art when the ratio

N / K

is even. Full article

(This article belongs to the Special Issue Communications and Sensing Technologies for the Future)

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11 pages, 7086 KiB

Open AccessArticle

A Spoof Surface Plasmon Polaritons (SSPPs) Based Dual-Band-Rejection Filter with Wide Rejection Bandwidth

by Ehsan Farokhipour, Mohammad Mehrabi, Nader Komjani and Can Ding

Sensors 2020, 20(24), 7311; https://doi.org/10.3390/s20247311 - 19 Dec 2020

Cited by 19 | Viewed by 3965

Abstract

This paper presents a novel single-layer dual band-rejection-filter based on Spoof Surface Plasmon Polaritons (SSPPs). The filter consists of an SSPP-based transmission line, as well as six coupled circular ring resonators (CCRRs) etched among ground planes of the center corrugated strip. These resonators are excited by electric-field of the SSPP structure. The added ground on both sides of the strip yields tighter electromagnetic fields and improves the filter performance at lower frequencies. By removing flaring ground in comparison to prevalent SSPP-based constructions, the total size of the filter is significantly decreased, and mode conversion efficiency at the transition from co-planar waveguide (CPW) to the SSPP line is increased. The proposed filter possesses tunable rejection bandwidth, wide stop bands, and a variety of different parameters to adjust the forbidden bands and the filter’s cut-off frequency. To demonstrate the filter tunability, the effect of different elements like number (n), width (

W_{R}

), radius (

R_{R}

) of CCRRs, and their distance to the SSPP line (

y_{R}

) are surveyed. Two forbidden bands, located in the X and K bands, are 8.6–11.2 GHz and 20–21.8 GHz. As the proof-of-concept, the proposed filter was fabricated, and a good agreement between the simulation and experiment results was achieved. Full article

(This article belongs to the Special Issue Communications and Sensing Technologies for the Future)

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Review

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18 pages, 4075 KiB

Open AccessReview

Antenna/Propagation Domain Self-Interference Cancellation (SIC) for In-Band Full-Duplex Wireless Communication Systems

by Yuenian Chen, Can Ding, Yongtao Jia and Ying Liu

Sensors 2022, 22(5), 1699; https://doi.org/10.3390/s22051699 - 22 Feb 2022

Cited by 19 | Viewed by 4683

Abstract

In-band full duplex (IBFD) is regarded as one of the most significant technologies for addressing the issue of spectrum scarcity in 5G and beyond systems. In the realization of practical IBFD systems, self-interference, i.e., the interference that the transmitter causes to the collocated receiver, poses a major challenge to antenna designers; it is a prerequisite for applying other self-interference cancellation (SIC) techniques in the analog and digital domains. In this paper, a comprehensive survey on SIC techniques in the antenna/propagation (AP) domain is provided and the pros and cons of each technique are studied. Opportunities and challenges of employing IBFD antennas in future wireless communications networks are discussed. Full article

(This article belongs to the Special Issue Communications and Sensing Technologies for the Future)

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22 pages, 6669 KiB

Open AccessReview

A Review of Remote Sensing Image Dehazing

by Juping Liu, Shiju Wang, Xin Wang, Mingye Ju and Dengyin Zhang

Sensors 2021, 21(11), 3926; https://doi.org/10.3390/s21113926 - 07 Jun 2021

Cited by 20 | Viewed by 4660

Abstract

Remote sensing (RS) is one of the data collection technologies that help explore more earth surface information. However, RS data captured by satellite are susceptible to particles suspended during the imaging process, especially for data with visible light band. To make up for such deficiency, numerous dehazing work and efforts have been made recently, whose strategy is to directly restore single hazy data without the need for using any extra information. In this paper, we first classify the current available algorithm into three categories, i.e., image enhancement, physical dehazing, and data-driven. The advantages and disadvantages of each type of algorithm are then summarized in detail. Finally, the evaluation indicators used to rank the recovery performance and the application scenario of the RS data haze removal technique are discussed, respectively. In addition, some common deficiencies of current available methods and future research focus are elaborated. Full article

(This article belongs to the Special Issue Communications and Sensing Technologies for the Future)

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Other

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15 pages, 4962 KiB

Open AccessLetter

A Power Amplifier with Large High-Efficiency Range for 5G Communication

by Zhiwei Zhang, Zhiqun Cheng and Guohua Liu

Sensors 2020, 20(19), 5581; https://doi.org/10.3390/s20195581 - 29 Sep 2020

Cited by 10 | Viewed by 2539

Abstract

This paper presents a new method to design a Doherty power amplifier (DPA) with a large, high-efficiency range for 5G communication. This is through analyzing the drain-to-source capacitance (C_DS) of DPAs, and adopting appropriate impedance of the peak device. A closed design process is proposed, to design the extended efficiency range DPA based on derived theories. For validation, a DPA with large efficiency range was designed and fabricated by using two equal devices. The measured results showed that the saturated output power was between 43.4 dBm and 43.7 dBm in the target band. Around 70% saturated drain efficiency is obtained with a gain of greater than 11 dB. Moreover, the obtained drain efficiency is larger than 50% at the 10 dB power back-off, when operating at 3.5 GHz. These superior performances illustrate that the implemented DPA can be applied well in 5G communication. Full article

(This article belongs to the Special Issue Communications and Sensing Technologies for the Future)

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