Special Issue "Smart Antennas and MIMO Communications"

A special issue of Electronics (ISSN 2079-9292).

Deadline for manuscript submissions: closed (30 November 2017)

Special Issue Editors

Guest Editor
Dr. Hamid Bahrami

Associate Professor, Department of Electrical and Computer Engineering, The University of Akron, Akron, OH 44325, USA
Website | E-Mail
Phone: (330) 972-7940
Fax: (330) 972-6487
Interests: MIMO Systems; multi-user communications; cognitive radio; molecular and nanoscale communications; compressed sensing; smart antennas and array signal processing
Guest Editor
Dr. Xu Zhu

Reader, Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ, UK
Website | E-Mail
Phone: +44 151 794 4571
Fax: +44 151 794 4540
Interests: MIMO; mm wave; cooperative communications; resource allocation; cognitive radio
Guest Editor
Dr. Nicholas J. Kirsch

Electrical and Computer Engineering Department, University of New Hampshire, Durham, NH 03824, USA
Website | E-Mail
Interests: multiple-input multiple-output (MIMO) communications systems; wireless channels; antenna arrays; cognitive radios; spectrum sensing

Special Issue Information

Dear Colleagues,

The use of multi-antenna transceivers in communications systems to achieve high transmission rate and reliability has been the subject of extensive studies over the past two decades. Multi-antenna communication has been an integrative part of current wireless technologies, and will play a key role in the design and development of 5G networks. Nevertheless, to keep up with the rapidly increasing demand for high-speed data applications, more innovative and unconventional approaches that deal with efficient use of such transceivers are of high interest. This Special Issue is intended to reflect the current advances in the area of smart antennas and multiple-input multiple-output (MIMO) communications.

We invite researchers to submit their original research or review articles that are concerned with novel techniques, models, analysis tools, and experimental results in this area. Potential topics include, but are not limited to:

  • Recent advances in MIMO signal processing
  • Large-scale and massive MIMO systems
  • Signal design, detection and estimation techniques for MIMO communications
  • Recent advances in antenna array design, smart antennas and beamforming
  • MIMO antenna systems and channel modeling
  • Multiuser and cooperative communication systems
  • Millimeter wave and Ultra-wideband MIMO communications
  • Small cells and heterogeneous MIMO networks
  • Full-duplex and interference cancelation and management techniques
  • Cognitive radio for MIMO communications

Dr. Hamid Bahrami
Dr. Xu Zhu
Dr. Nicholas J. Kirsch
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 papers will be 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 quarterly 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 350 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

  • MIMO Systems
  • Smart Antennas and Beamforming
  • Multiuser and Multi-carrier Communications
  • Large-scale MIMO
  • Small Cells and Heterogeneous Networks
  • Millimeter Wave Communications
  • Full-Duplex Systems
  • Cooperative Communication
  • Cognitive Radio and Networks

Published Papers (8 papers)

View options order results:
result details:
Displaying articles 1-8
Export citation of selected articles as:

Research

Jump to: Review

Open AccessArticle Performance Evaluation of Downlink Multi-Beam Massive MIMO with Simple Transmission Scheme at Both Base and Terminal Stations
Electronics 2017, 6(4), 100; doi:10.3390/electronics6040100
Received: 1 November 2017 / Revised: 13 November 2017 / Accepted: 15 November 2017 / Published: 21 November 2017
PDF Full-text (478 KB) | HTML Full-text | XML Full-text
Abstract
Multi-beam massive multiple-input–multiple-output (MIMO) configurations that utilize high-power beam selection in the analog parts and blind algorithms such as the constant modulus algorithm (CMA), which do not require channel state information (CSI), in the digital parts, have been proposed in the literature to
[...] Read more.
Multi-beam massive multiple-input–multiple-output (MIMO) configurations that utilize high-power beam selection in the analog parts and blind algorithms such as the constant modulus algorithm (CMA), which do not require channel state information (CSI), in the digital parts, have been proposed in the literature to improve the transmission rates and efficiency. In this paper, we evaluate the transmission performance in the downlink, with simple control at the base station (BS) and user terminal (UTs), for massive MIMO transmissions. Through computer simulations, it is shown that the analog multi-beam selection at the BS and the application of CMA at the UT with two antennas can effectively realize transmissions with high-order modulation schemes. In addition, the weight update switching by the CMA is proposed in order to obtain fast and stable performance with a realistic data size. Full article
(This article belongs to the Special Issue Smart Antennas and MIMO Communications)
Figures

Figure 1

Open AccessArticle Effectiveness of Implicit Beamforming with Large Number of Antennas Using Calibration Technique in Multi-User MIMO System
Electronics 2017, 6(4), 91; doi:10.3390/electronics6040091
Received: 12 September 2017 / Revised: 5 October 2017 / Accepted: 17 October 2017 / Published: 24 October 2017
PDF Full-text (524 KB) | HTML Full-text | XML Full-text
Abstract
This paper examines the effectiveness of implicit beamforming (IBF), which enables transmission without channel state information (CSI) feedback in multi-user multiple-input multiple-output (MU-MIMO) systems with a large number of antennas. First, we explain why CSI feedback from terminal stations to the base station
[...] Read more.
This paper examines the effectiveness of implicit beamforming (IBF), which enables transmission without channel state information (CSI) feedback in multi-user multiple-input multiple-output (MU-MIMO) systems with a large number of antennas. First, we explain why CSI feedback from terminal stations to the base station produces a very large overhead. A calibration technique is then introduced, which compensates for the difference between the complex amplitudes of the transmitters and receivers to facilitate CSI-feedback-free beamforming; this technique is called IBF. The efficacy of this calibration technique is demonstrated by measuring the amplitude and phase errors obtained using a 16-element array testbed and by performing a channel capacity evaluation. Finally, the throughput under IEEE802.11ac-based massive MIMO transmission, both with and without CSI feedback, is obtained in terms of the medium access control efficiency. Full article
(This article belongs to the Special Issue Smart Antennas and MIMO Communications)
Figures

Figure 1

Open AccessArticle Multidimensional-DSP Beamformers Using the ROACH-2 FPGA Platform
Electronics 2017, 6(3), 49; doi:10.3390/electronics6030049
Received: 22 March 2017 / Revised: 13 June 2017 / Accepted: 20 June 2017 / Published: 1 July 2017
PDF Full-text (3322 KB) | HTML Full-text | XML Full-text
Abstract
Antenna array-based multi-dimensional infinite-impulse response (IIR) digital beamformers are employed in a multitude of radio frequency (RF) applications ranging from electronically-scanned radar, radio telescopes, long-range detection and target tracking. A method to design 3D IIR beam filters using 2D IIR beam filters is
[...] Read more.
Antenna array-based multi-dimensional infinite-impulse response (IIR) digital beamformers are employed in a multitude of radio frequency (RF) applications ranging from electronically-scanned radar, radio telescopes, long-range detection and target tracking. A method to design 3D IIR beam filters using 2D IIR beam filters is described. A cascaded 2D IIR beam filter architecture is proposed based on systolic array architecture as an alternative for an existing radar application. Differential-form transfer function and polyphase structures are employed in the design to gain an increase in the speed of operation to gigahertz range. The feasibility of practical implementation of a 4-phase polyphase 2D IIR beam filter is explored. A digital hardware prototype is designed, implemented and tested using a ROACH-2 Field Programmable Gate Array (FPGA) platform fitted with a Xilinx Virtex-6 SX475T FPGA chip and multi-input analog-to-digital converters (ADC) boards set to a maximum sampling rate of 960 MHz. The article describes a method to build a 3D IIR beamformer using polyphase structures. A comparison of technical specifications of an existing radar application based on phased-array and the proposed 3D IIR beamformer is also explained to illustrate the proposed method to be a better alternative for such applications. Full article
(This article belongs to the Special Issue Smart Antennas and MIMO Communications)
Figures

Figure 1

Open AccessArticle Improved Cell Search for mmWave Cellular Networks Using Deterministic Scanning Algorithm with Directional Array Antenna
Electronics 2017, 6(2), 42; doi:10.3390/electronics6020042
Received: 1 March 2017 / Revised: 10 May 2017 / Accepted: 15 May 2017 / Published: 26 May 2017
PDF Full-text (4851 KB) | HTML Full-text | XML Full-text
Abstract
Millimeter Wave (mmWave) communication is considered as an enabling technology for the next generation of cellular networks because it offers much larger bandwidth and higher data rate than the current lower-frequency cellular systems to satisfy the exponential growth of mobile data demand. High
[...] Read more.
Millimeter Wave (mmWave) communication is considered as an enabling technology for the next generation of cellular networks because it offers much larger bandwidth and higher data rate than the current lower-frequency cellular systems to satisfy the exponential growth of mobile data demand. High gain directional antennas are needed to overcome high propagation losses in mmWave bands. However, the reliance on highly directional antennas will result in a more complicated initial cell search procedure since both base station and mobile device have to look for each other over a large space to establish the link. This paper focuses on analyzing the performance of the directional cell search procedure where the base stations periodically transmit signals in a set of optimal directional patterns to scan the coverage area. The mobile terminals detect the signals from the base station using the Generalized Likelihood Ratio Test (GLRT). The results show that with an appropriate scanning scheme, the use of directional antennas can outperform their omnidirectional counterparts in terms of signal detection performance as well as total time required. Full article
(This article belongs to the Special Issue Smart Antennas and MIMO Communications)
Figures

Open AccessArticle Full-Diversity QO-STBC Technique for Large-Antenna MIMO Systems
Electronics 2017, 6(2), 37; doi:10.3390/electronics6020037
Received: 20 February 2017 / Revised: 26 April 2017 / Accepted: 5 May 2017 / Published: 11 May 2017
PDF Full-text (1035 KB) | HTML Full-text | XML Full-text
Abstract
The need to achieve high data rates in modern telecommunication systems, such as 5G standard, motivates the study and development of large antenna and multiple-input multiple-output (MIMO) systems. This study introduces a large antenna-order design of MIMO quasi-orthogonal space-time block code (QO-STBC) system
[...] Read more.
The need to achieve high data rates in modern telecommunication systems, such as 5G standard, motivates the study and development of large antenna and multiple-input multiple-output (MIMO) systems. This study introduces a large antenna-order design of MIMO quasi-orthogonal space-time block code (QO-STBC) system that achieves better signal-to-noise ratio (SNR) and bit-error ratio (BER) performances than the conventional QO-STBCs with the potential for massive MIMO (mMIMO) configurations. Although some earlier MIMO standards were built on orthogonal space-time block codes (O-STBCs), which are limited to two transmit antennas and data rates, the need for higher data rates motivates the exploration of higher antenna configurations using different QO-STBC schemes. The standard QO-STBC offers a higher number of antennas than the O-STBC with the full spatial rate. Unfortunately, also, the standard QO-STBCs are not able to achieve full diversity due to self-interference within their detection matrices; this diminishes the BER performance of the QO-STBC scheme. The detection also involves nonlinear processing, which further complicates the system. To solve these problems, we propose a linear processing design technique (which eliminates the system complexity) for constructing interference-free QO-STBCs and that also achieves full diversity using Hadamard modal matrices with the potential for mMIMO design. Since the modal matrices that orthogonalize QO-STBC are not sparse, our proposal also supports O-STBCs with a well-behaved peak-to-average power ratio (PAPR) and better BER. The results of the proposed QO-STBC outperform other full diversity techniques including Givens-rotation and the eigenvalue decomposition (EVD) techniques by 15 dB for both MIMO and multiple-input single-output (MISO) antenna configurations at 10 3 BER. The proposed interference-free QO-STBC is also implemented for 16 × N R and 32 × N R MIMO systems, where N R 2 . We demonstrate 8, 16 and 32 transmit antenna-enabled MIMO systems with the potential for mMIMO design applications with attractive BER and PAPR performance characteristics. Full article
(This article belongs to the Special Issue Smart Antennas and MIMO Communications)
Figures

Figure 1

Open AccessFeature PaperArticle Fully Quaternion-Valued Adaptive Beamforming Based on Crossed-Dipole Arrays
Electronics 2017, 6(2), 34; doi:10.3390/electronics6020034
Received: 4 March 2017 / Revised: 15 April 2017 / Accepted: 25 April 2017 / Published: 27 April 2017
PDF Full-text (721 KB) | HTML Full-text | XML Full-text
Abstract
Based on crossed-dipole antenna arrays, quaternion-valued data models have been developed for both direction of arrival estimation and beamforming in the past. However, for almost all the models, and especially for adaptive beamforming, the desired signal is still complex-valued as in the quaternion-valued
[...] Read more.
Based on crossed-dipole antenna arrays, quaternion-valued data models have been developed for both direction of arrival estimation and beamforming in the past. However, for almost all the models, and especially for adaptive beamforming, the desired signal is still complex-valued as in the quaternion-valued Capon beamformer. Since the complex-valued desired signal only has two components, while there are four components in a quaternion, only two components of the quaternion-valued beamformer output are used and the remaining two are simply discarded, leading to significant redundancy in its implementation. In this work, we consider a quaternion-valued desired signal and develop a fully quaternion-valued Capon beamformer which has a better performance and a much lower complexity. Furthermore, based on this full quaternion model, the robust beamforming problem is also studied in the presence of steering vector errors and a worst-case-based robust beamformer is developed. The performance of the proposed methods is verified by computer simulations. Full article
(This article belongs to the Special Issue Smart Antennas and MIMO Communications)
Figures

Figure 1

Open AccessArticle MIMO Channel-State Estimation in the Presence of Partial Data and/or Intermittent Measurements
Electronics 2017, 6(2), 33; doi:10.3390/electronics6020033
Received: 28 February 2017 / Revised: 14 April 2017 / Accepted: 17 April 2017 / Published: 20 April 2017
PDF Full-text (885 KB) | HTML Full-text | XML Full-text
Abstract
We propose a method for estimating the channel matrix in MIMO communication systems from intermittent measurements based on the matrix completion technique. The method requires the minimization of the trace norm of the partially known channel matrix. The availability of fast and efficient
[...] Read more.
We propose a method for estimating the channel matrix in MIMO communication systems from intermittent measurements based on the matrix completion technique. The method requires the minimization of the trace norm of the partially known channel matrix. The availability of fast and efficient convex minimization programs allows a numerically efficient solution of the problem. The effectiveness of the technique is numerically investigated considering different scattering environments. Full article
(This article belongs to the Special Issue Smart Antennas and MIMO Communications)
Figures

Review

Jump to: Research

Open AccessFeature PaperReview Massive MIMO Wireless Networks: An Overview
Electronics 2017, 6(3), 63; doi:10.3390/electronics6030063
Received: 31 July 2017 / Revised: 24 August 2017 / Accepted: 26 August 2017 / Published: 5 September 2017
Cited by 1 | PDF Full-text (725 KB) | HTML Full-text | XML Full-text
Abstract
Massive multiple-input-multiple-output (MIMO) systems use few hundred antennas to simultaneously serve large number of wireless broadband terminals. It has been incorporated into standards like long term evolution (LTE) and IEEE802.11 (Wi-Fi). Basically, the more the antennas, the better shall be the performance. Massive
[...] Read more.
Massive multiple-input-multiple-output (MIMO) systems use few hundred antennas to simultaneously serve large number of wireless broadband terminals. It has been incorporated into standards like long term evolution (LTE) and IEEE802.11 (Wi-Fi). Basically, the more the antennas, the better shall be the performance. Massive MIMO systems envision accurate beamforming and decoding with simpler and possibly linear algorithms. However, efficient signal processing techniques have to be used at both ends to overcome the signaling overhead complexity. There are few fundamental issues about massive MIMO networks that need to be better understood before their successful deployment. In this paper, we present a detailed review of massive MIMO homogeneous, and heterogeneous systems, highlighting key system components, pros, cons, and research directions. In addition, we emphasize the advantage of employing millimeter wave (mmWave) frequency in the beamforming, and precoding operations in single, and multi-tier massive MIMO systems. Full article
(This article belongs to the Special Issue Smart Antennas and MIMO Communications)
Figures

Figure 1

Back to Top