EURASIP Journal on Advances in Signal Processing is calling for submissions to our Collection on 'Advanced Signal Processing for Sustainable and Low Footprint Wireless Communications.'
Our society is entering an era of increasing digitization, hyper-connectivity, and global reliance on data. The fifth generation (5G) of mobile technology is expected to achieve remarkable advancements in terms of performance, not only by targeting extremely large area traffic capacity, but also enabling a huge range of novel applications that combine Gbps data rate with enhanced reliability, security, and remarkably low response time and latency. While definitely attractive for many aspects, this scenario opens severe problems in terms of sustainable development, which, according to the United Nations, can be defined as "meeting the needs of the present without compromising the ability of future generations to meet their own needs". Current forecasts indicate that communications will experience an exponential growth, such that, by 2035, they are expected to account for approximately 20% of the world’s total energy consumption. In this landscape, it is thus mandatory to pay special attention to sustainability objectives, which range from carbon footprint reduction to energy efficiency, spectrum efficiency, cost efficiency, electro-magnetic fields radiation reduction, long-term technology trust, and societal impact, among others.
This Collection aims to bring together researchers from both academia and industry to introduce original works on advanced signal processing techniques, which aim at improving the sustainability of future wireless communication technologies. Topics of interest include but are not limited to: machine learning (ML) and artificial intelligence (AI) techniques; semantic and goal-oriented communications; cognitive radio and dynamic spectrum access; caching and content delivery optimization; game-theoretical approaches; MIMO technologies; smart propagation environments; cross-layer optimization; software-defined networking; energy-efficient algorithms and hardware; improved multiple-access techniques; backscatter and reconfigurable intelligent surfaces-aided communications, energy-efficient modulation schemes; integrated sensing and communications approaches; smart use of renewable energy; wireless power transfer and energy harvesting systems.
