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Publication Date

Manuscript Submission Deadline

Special Issue

Call for Papers

Dramatic growth in wireless communications has created a shortage in the available radio spectrum. Wireless communications services such as cellular phones, tablets, and wireless Internet access have to compete with existing users in radar, government and military communications, environmental monitoring, and other wireless applications. The strategy is to increase the efficiency of spectrum sharing among the large number of wireless users. Wireless applications demand more and better functionality and performance from new electronic devices; these demands translate into greater energy consumption demands. The gap between energy storage and demand continues to grow, and battery technologies for energy storage are not expected to increase tremendously in the coming years. Furthermore, reducing signal transmission power can lessen interference among wireless devices. Energy-efficient protocols and network architectures will further reduce the number of transmissions and extend the battery life of wireless devices. Therefore, it is essential to pursue fundamental research on new components, techniques, and architectures to achieve energy-efficient wireless communications and networking in a shared spectrum environment for wireless users. Taking energy efficiency into consideration while achieving spectrum efficiency has posed great challenges for the community. From a hardware point of view, energy efficiency is critically dependent on high power consumption components such as power amplifiers, analog-to-digital converters and phase-locked loops. From an RF frequencies point of view, at higher frequencies such as millimeter-wave frequencies and above, power consumption for communications increases vastly. Antenna arrays such as Massive MIMO for achieving spatial multiplexing and interference cancellation must rely on complex beamforming and processing operations.

Topics of interests include, but are not limited to:

  • Massive access scheme for mobile users with large scale mobility
  • Self-resource management and self-control
  • Low power cost and energy efficient resource allocation scheme
  • Smart and fast data processing
  • Smart architecture for future joint narrowband and broadband wireless communications
  • Adaptive access or Mac protocol joint time division, frequency division, code division or any other domain for massive users or massive services
  • Interference suppression for massive users
  • Spectrum sharing techniques
  • Reconfigurable RF components for spectrum and energy efficiency
  • Novel transceiver architectures for low-power, spectrum-efficient communications
  • Advanced spectrum sensing techniques for spectrum and energy efficiency
  • Innovative protocols and network architectures
  • Co-existence of various wireless systems 
  • Metrics for dynamic spectrum monitoring, measurements, and analysis
  • Advances in massive MIMO systems
  • Energy-efficient solutions for circuits and transceiver architectures, amplifiers and low-loss passives
  • Energy efficient signal modulation and processing, network protocols and algorithms
  • New approaches and metrics for energy efficiency and spectrum efficiency

Submission Guidelines

Manuscripts should conform to the standard format as indicated in the Information for Authors section of the Paper Submission Guidelines.

All manuscripts to be considered for publication must be submitted by the deadline through Manuscript Central. Select the “October 2020: Spectrum and Energy Efficient Wireless Communications” topic from the drop-down menu of Topic/Series titles.

Important Dates

Manuscript Submission Deadline: 15 January 2020
Initial Decision Date: 1 April 2020
Revised Manuscript Due: 1 May 2020
Final Decision Date: 1 June 2020
Final Manuscript Due: 1 July 2020
Publication Date: October 2020

Guest Editors

Qilian Liang
University of Texas at Arlington, USA

Tariq S. Durrani
University of Strathclyde, UK

Jinhwan Koh
Gyeongsang National University, South Korea

Qiong Wu
eero LLC, Amazon, USA

Xin Wang
LinkedIn Corporation, USA