Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.8
3.1
Journals
Information
Special Issues
Channel Estimation and Detection for Large-Scale MIMO Systems
share announcement

Channel Estimation and Detection for Large-Scale MIMO Systems

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".

Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 4149

Special Issue Editor

Prof. Dr. Ahmed Sulyman

E-Mail Website
Guest Editor
Department of Electrical, Computer & Software Engineering, College of Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL 32114-3900, USA
Interests: internet of things; millimeter wave 5G systems; MIMO communications; wireless communication networks

Special Issue Information

Dear Colleagues,

We invite prospective authors to contribute original research articles as well as review articles on the theory and practical implementations of massive MIMO systems. Potential topics include, but are not limited to the following: Large-scale/Massive MIMO deployments, Distributed vs Collocated massive MIMO BSs in 5G, Investigation of radiation exposure for distributed vs. collocated BSs, Propagation aspects and channel modeling, Low-complexity detectors for massive MIMO systems, Coding and modulation designs for massive MIMO systems, Theoretical Analysis as well as performance results from testbeds.

Prof. Dr. Ahmed Sulyman
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. Information is an international peer-reviewed open access monthly 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 1600 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
  • massive MIMO
  • large-scale MIMO
  • MIMO channel estimation
  • MIMO detection
  • MIMO deployments
  • Distributed massive MIMO BSs
  • Collocated massive MIMO BSs

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

8 pages, 2605 KiB  
Article
Physical Layer Security for Military IoT Links Using MIMO-Beamforming at 60 GHz
by Ahmed Iyanda Sulyman and Calvin Henggeler
Information 2022, 13(2), 100; https://0-doi-org.brum.beds.ac.uk/10.3390/info13020100 - 20 Feb 2022
Cited by 7 | Viewed by 2115
Abstract
This paper discusses the concept and practicality of internet-of-things (IoT) link security enhancements using multiple-input multiple-output (MIMO) and beamforming solutions at the physical layer of the wireless system. Large-scale MIMO and beamforming techniques have been studied extensively in the context of 5G cellular [...] Read more.
This paper discusses the concept and practicality of internet-of-things (IoT) link security enhancements using multiple-input multiple-output (MIMO) and beamforming solutions at the physical layer of the wireless system. Large-scale MIMO and beamforming techniques have been studied extensively in the context of 5G cellular systems. The concept of utilizing these transmission techniques for security enhancements in cellular IoT systems, however, have not yet been fully explored. This article will list a variety of options that may be explored in realizing more secure IoT links using MIMO-beamforming techniques. The paper provides a valuable tutorial for both engineers and researchers working in this field. Full article
(This article belongs to the Special Issue Channel Estimation and Detection for Large-Scale MIMO Systems)
►▼ Show Figures

Figure 1

14 pages, 4056 KiB  
Article
Partial Fractional Fourier Transform (PFrFT)-MIMO-OFDM for Known Underwater Acoustic Communication Channels
by Yixin Chen, Carmine Clemente and John J. Soraghan
Information 2021, 12(11), 469; https://0-doi-org.brum.beds.ac.uk/10.3390/info12110469 - 12 Nov 2021
Viewed by 1515
Abstract
Communication over doubly selective channels (both time and frequency selective) suffers from significant intercarrier interference (ICI). This problem is severe in underwater acoustic communications. In this paper, a novel partial fractional (PFrFT)-MIMO-OFDM system is proposed and implemented to further mitigate ICI. A new [...] Read more.
Communication over doubly selective channels (both time and frequency selective) suffers from significant intercarrier interference (ICI). This problem is severe in underwater acoustic communications. In this paper, a novel partial fractional (PFrFT)-MIMO-OFDM system is proposed and implemented to further mitigate ICI. A new iterative band minimum mean square error (BMMSE) weight combining based on LDLH factorization is used in a scenario of perfect knowledge of channel information. The proposed method is extended from SISO-OFDM configuration to MIMO-OFDM. Simulation results demonstrate that the proposed PFrFT-LDLH outperforms the other methods in the SISO-OFDM scenario and that its performance can be improved in MIMO-OFDM scenarios. Full article
(This article belongs to the Special Issue Channel Estimation and Detection for Large-Scale MIMO Systems)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop