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In-band Full-duplex Wireless Systems Handbook

Posted By: yoyoloit
In-band Full-duplex Wireless Systems Handbook

In-Band Full-Duplex Wireless Systems Handbook
by Kolodziej Kenneth E.

English | 2021 | ISBN: 9781630817893, 1630817899 | 363 pages | True PDF | 13.74 MB

" Many wireless systems could benefit from the ability to transmit and receive on the same frequency at the same time, which is known as In-Band Full-Duplex (IBFD). This technology could lead to enhanced spectral efficiency for future wireless networks, such as fifth-generation New Radio (5G NR) and beyond, and could enable capabilities and applications that were previously considered impossible, such as IBFD with phased array systems. In this exciting new book, experts from industry, academic, and federal research institutions discuss the various approaches that can be taken to suppress the inherent self-interference that is generated in IBFD systems. Both static and adaptive techniques that span across the propagation, analog and digital domains are presented.

Green Communications for Energy-Efficient Wireless Systems and Networks

Posted By: AvaxGenius
Green Communications for Energy-Efficient Wireless Systems and Networks

Green Communications for Energy-Efficient Wireless Systems and Networks by Himal A. Suraweera
English | PDF (True) | 2020 | 477 Pages | ISBN : 1839530677 | 12.65 MB

The ICT industry is a major consumer of global energy. The energy crisis, global warming problems, dramatic growth in data traffic and the increased complexity of emerging networks are pushing academic and industry research towards the development of energy-saving and energy-efficient architectures, technologies and networks in order to reduce the carbon footprint while ensuring efficient and reliable communication networks, and environmental sustainability.

Deep Reinforcement Learning for Wireless Networks

Posted By: AvaxGenius
Deep Reinforcement Learning for Wireless Networks

Deep Reinforcement Learning for Wireless Networks by F. Richard Yu
English | PDF(Reospt),EPUB | 2019 | 78 Pages | ISBN : 3030105458 | 10.3 MB

This Springerbrief presents a deep reinforcement learning approach to wireless systems to improve system performance. Particularly, deep reinforcement learning approach is used in cache-enabled opportunistic interference alignment wireless networks and mobile social networks. Simulation results with different network parameters are presented to show the effectiveness of the proposed scheme.

5G and Beyond Wireless Systems: PHY Layer Perspective

Posted By: arundhati
5G and Beyond Wireless Systems: PHY Layer Perspective

Manish Mandloi, "5G and Beyond Wireless Systems: PHY Layer Perspective "
English | ISBN: 9811563896 | 2021 | 434 pages | PDF | 14 MB