Developing Sustainable and Energy-Efficient Telecommunication Systems
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 86
Special Issue Editors
Interests: signal processing and wireless communications; M-MIMO/XL-MIMO precoding/decoding techniques; channel estimation; cross-layer optimization of B5G systems; random access protocols for mMTC networks; reconfigurable intelligent surfaces
Interests: communications systems; M-MIMO; XL-MIMO; RIS-aided communication; optimization methods; machine learning; scheduling; estimation; resource allocation; integrated sensing and communications (ISAC); random access protocols
Special Issue Information
Dear Colleagues,
Climate changes have been reaching alarming levels, resulting in it being urgent to limit global warming and reduce the emission of greenhouse gases. Telecommunication systems are responsible for a significant fraction of global energy consumption. Therefore, it is paramount to design future telecommunication systems as highly energy-efficient and sustainable technologies able to coexist in a green environment.
Developing energy-efficient telecommunications systems is a target involving many different aspects. From a hardware perspective, the power amplifier is responsible for most of the base station energy consumption, making it important to design systems that operate in more efficient conditions. Reconfigurable intelligent surfaces (RISs) are a key physical layer technology for improving the energy efficiency of future communication systems. By independently adjusting the reflection coefficient of each RIS element, the impinging electromagnetic wave can be manipulated according to an optimized radiation pattern. In passive operation, such benefits can be achieved with very little energy consumption. In addition, from a communication perspective, new techniques of resource allocation, precoding/decoding, and antenna selection can always be conceived to maximize energy efficiency. This Special Issue focuses on developing highly energy-efficient telecommunication systems. We encourage the contribution of original papers addressing different aspects of communication systems optimized from the perspective of improving energy efficiency. We also welcome original research applying machine learning tools to optimize the energy efficiency of communication systems.
We look forward to receiving your contributions.
Prof. Dr. Jose Carlos Marinello
Prof. Dr. Taufik Abrão
Guest Editors
Manuscript Submission Information
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Keywords
- reconfigurable intelligent surfaces
- resource allocation
- energy efficiency maximization
- precoding
- decoding
- antenna selection
- non-terrestrial networks
- terahertz communications
- green wireless communication
- 6G
