Robust adaptive distributed beamforming for energy-efficient network flooding

Abdelkader, Abdelrahman; Jorswieck, Eduard A.

doi:10.1186/s13638-019-1434-0

Cited by 3 publications

(2 citation statements)

References 36 publications

(43 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mobile fronthaul systems will rely not only on beamforming and beamsteering technology [37], but also on massive MIMO technology for creating several transmission channels at mmWave band. Massive MIMO uses several antennas arrays to provide signal amplification by beamforming and high spatial resolution to multiplex many simultaneous users.…”

Section: Beyond Massive Mimo Systemsmentioning

confidence: 99%

Transition technologies towards 6G networks

Raddo

Rommel

Cimoli

et al. 2021

J Wireless Com Network

View full text Add to dashboard Cite

The sixth generation (6G) mobile systems will create new markets, services, and industries making possible a plethora of new opportunities and solutions. Commercially successful rollouts will involve scaling enabling technologies, such as cloud radio access networks, virtualization, and artificial intelligence. This paper addresses the principal technologies in the transition towards next generation mobile networks. The convergence of 6G key-performance indicators along with evaluation methodologies and use cases are also addressed. Free-space optics, Terahertz systems, photonic integrated circuits, softwarization, massive multiple-input multiple-output signaling, and multi-core fibers, are among the technologies identified and discussed. Finally, some of these technologies are showcased in an experimental demonstration of a mobile fronthaul system based on millimeter 5G NR OFDM signaling compliant with 3GPP Rel. 15. The signals are generated by a bespoke 5G baseband unit and transmitted through both a 10 km prototype multi-core fiber and 4 m wireless V-band link using a pair of directional 60 GHz antennas with 10° beamwidth. Results shown that the 5G and beyond fronthaul system can successfully transmit signals with both wide bandwidth (up to 800 MHz) and fully centralized signal processing. As a result, this system can support large capacity and accommodate several simultaneous users as a key candidate for next generation mobile networks. Thus, these technologies will be needed for fully integrated, heterogeneous solutions to benefit from hardware commoditization and softwarization. They will ensure the ultimate user experience, while also anticipating the quality-of-service demands that future applications and services will put on 6G networks.

show abstract

Section: Beyond Massive Mimo Systemsmentioning

confidence: 99%

Transition technologies towards 6G networks

Raddo

Rommel

Cimoli

et al. 2021

J Wireless Com Network

View full text Add to dashboard Cite

show abstract

“…Thus, a combination with the Alamouti scheme can improve the scale of the multicast rate in MISO [261]. In [262], researchers achieved full diversity through optimized quantizers that are capable of beamforming in a multiple inputs, single output multicast medium. The considered quantizers for a two RX system, which can approach outage probability, lies under the complete channel state information.…”

Section: Massive Mimo and Beamformingmentioning

confidence: 99%

Machine Learning for Physical Layer in 5G and beyond Wireless Networks: A Survey

et al. 2021

View full text Add to dashboard Cite

Fifth-generation (5G) technology will play a vital role in future wireless networks. The breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where billions of connected devices, people, and processes will be simultaneously served. The services provided by 5G include several use cases enabled by the enhanced mobile broadband, massive machine-type communications, and ultra-reliable low-latency communication. Fifth-generation networks potentially merge multiple networks on a single platform, providing a landscape for seamless connectivity, particularly for high-mobility devices. With their enhanced speed, 5G networks are prone to various research challenges. In this context, we provide a comprehensive survey on 5G technologies that emphasize machine learning-based solutions to cope with existing and future challenges. First, we discuss 5G network architecture and outline the key performance indicators compared to the previous and upcoming network generations. Second, we discuss next-generation wireless networks and their characteristics, applications, and use cases for fast connectivity to billions of devices. Then, we confer physical layer services, functions, and issues that decrease the signal quality. We also present studies on 5G network technologies, 5G propelling trends, and architectures that help to achieve the goals of 5G. Moreover, we discuss signaling techniques for 5G massive multiple-input and multiple-output and beam-forming techniques to enhance data rates with efficient spectrum sharing. Further, we review security and privacy concerns in 5G and standard bodies’ actionable recommendations for policy makers. Finally, we also discuss emerging challenges and future directions.

show abstract