Massive MIMO Communication and Networking Systems

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Network Virtualization and Edge/Fog Computing".

Deadline for manuscript submissions: closed (15 June 2018) | Viewed by 5804

Special Issue Editors

School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand
Interests: wireless communications; signal and image processing; industrial electronics
Dept. of Electrical and Electronics Engineering, Nazarbayev University, Astana, Kazakhstan
Interests: wireless communications; signal processing; optical communications
Research Department of Network Technologies, Huawei Technologies Co. Ltd, Shenzhen, China
Interests: Sparse signal processing; Noise and interference suppression; Wireless communications; Power line and visible light communications; 5G technologies
Dr. William Liu
E-Mail Website
Guest Editor

Special Issue Information

Dear Colleagues,

Multiple input multiple output (MIMO) communication systems have been an important research topic over the past years, with a promise of a huge breakthrough in link capacity and spectral efficiency. From its inception as BLAST (and V-BLAST), to space-time block and trellis coding, it has developed from a single user system to multiuser system, i.e. multi-user MIMO (MU-MIMO), and from multiple antennas on a terminal to multiple antennas on multiple terminals, deployed in various networks such as wireless and machine-type communication systems. With spectrum resources ever becoming so scarce due to conventional single-link transmission approaching its capacity limit, new technologies that can increase the capacity to meet the demand are drawing great attentions. As the number of antennas grows significantly larger than ever, known as large-scale or massive MIMO, the capacity as well as the transmission diversity can be improved effectively. Such a system is expected to be the driving technology in 5G and future systems for a breakthrough in Gigabits communication systems.

We cordially invite high quality original research articles as well as tutorial papers related to massive MIMO communication and networking systems, on the following interest areas, as well as relevant areas. Papers on fundamental studies, mathematical modelling, simulations and/or prototype measurement, testing and evaluation are all welcome.

Topics of interests include, but are not limited to:

  • Transmitter designs
  • Receiver/equalizer designs
  • Channel and propagation model
  • Channel estimation and link feedback
  • Adaptive modulation
  • Beamforming techniques
  • Interference cancellation
  • Power allocation
  • Coding designs
  • Cross layer design and optimization
  • Orthogonal and non-orthogonal access
  • RF front ends
  • Massive MIMO driven diversity and/or capacity boosting techniques
  • Multi-user MIMO system design and transmission techniques
  • Machine-type communications and internet of things
  • Optical/visible light systems
  • Security issues
  • Standardization
  • GPU implementation/acceleration
  • Deployment testbed prototyping and field tests

Dr. Yau Hee Kho
Dr. Refik Caglar Kizilirmak
Dr. Sicong Liu
Dr. William Liu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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.

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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.


  • Wireless communications
  • Signal and image processing
  • Signal and image processing
  • Power line and visible light communications
  • 5G technologies
  • Trust computing

Published Papers (1 paper)

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9 pages, 1107 KiB  
Interference Management in Femtocells by the Adaptive Network Sensing Power Control Technique
Future Internet 2018, 10(3), 25; - 01 Mar 2018
Cited by 5 | Viewed by 5396
The overlay integration of low-power femtocells over macrocells in a heterogeneous network (HetNet) plays an important role in dealing with the increasing demand of spectral efficiency, coverage and higher data rates, at a nominal cost to network operators. However, the downlink (DL) transmission [...] Read more.
The overlay integration of low-power femtocells over macrocells in a heterogeneous network (HetNet) plays an important role in dealing with the increasing demand of spectral efficiency, coverage and higher data rates, at a nominal cost to network operators. However, the downlink (DL) transmission power of an inadequately deployed femtocell causes inter-cell interference (ICI), which leads to severe degradation and sometimes link failure for nearby macrocell users. In this paper, we propose an adaptive network sensing (ANS) technique for downlink power control to obviate the ICI. The simulation results have shown that the ANS power control technique successfully decreases the cell-edge macro user’s interference and enhances the throughput performance of macro users, while also optimizing the coverage and capacity of the femtocell. When compared with the Femto User Equipment (FUE)-assisted and Macro User Equipment (MUE)-assisted power control technique, the proposed technique offers a good tradeoff in reducing interference to macro users, while maintaining the quality of service (QoS) requirement of the femtocell users. Full article
(This article belongs to the Special Issue Massive MIMO Communication and Networking Systems)
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