An overview on resource allocation techniques for multi-user MIMO systems

E Castaneda, A Silva, A Gameiro… - … Surveys & Tutorials, 2016 - ieeexplore.ieee.org
Remarkable research activities and major advances have been occurred over the past
decade in multiuser multiple-input multiple-output (MU-MIMO) systems. Several …

Artificial intelligence defined 5G radio access networks

M Yao, M Sohul, V Marojevic… - IEEE Communications …, 2019 - ieeexplore.ieee.org
Massive multiple-input multiple-output antenna systems, millimeter-wave communications,
and ultra-dense networks have been widely perceived as the three key enablers that …

[HTML][HTML] Artificial intelligence based cognitive routing for cognitive radio networks

J Qadir - Artificial Intelligence Review, 2016 - Springer
Cognitive radio networks (CRNs) are networks of nodes equipped with cognitive radios that
can optimize performance by adapting to network conditions. Although various routing …

Basic research methodology in wireless communications: The first course for research-based graduate students

Z Wang, S Dang, S Shaham, Z Zhang, Z Lv - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, we present an introductory course design for fresh research-based graduate
students in wireless communications, which is planned to be delivered immediately after …

Lexicographic codebook design for OFDM with index modulation

S Dang, G Chen, JP Coon - IEEE Transactions on Wireless …, 2018 - ieeexplore.ieee.org
In this paper, we propose a novel codebook design scheme for orthogonal frequency-
division multiplexing with index modulation (OFDM-IM) to improve system performance. The …

Machine learning techniques for wireless-powered ambient backscatter communications: Enabling intelligent IoT networks in 6G era

F Jameel, N Sharma, MA Khan, I Khan… - Convergence of Artificial …, 2020 - Springer
Abstract Machine learning is a rapidly evolving paradigm that has the potential to bring
intelligence and automation to low-powered devices. In parallel, there have been …

Optimizing blockchain networks with artificial intelligence: Towards efficient and reliable IoT applications

F Jameel, U Javaid, B Sikdar, I Khan… - Convergence of artificial …, 2020 - Springer
Blockchain is one of the new tools which is still experiencing a serious lack of understanding
and awareness in general public. Besides, to say that blockchain is a versatile technology …

Intelligent vertical handover scheme for utopian transport scenario

S Dhar, A Ray, S Chakravorty… - Trends in Applied …, 2011 - search.proquest.com
Abstract Intelligent Transportation System (ITS) needs an" always best connected"
communication to ensure vehicular safety. ITS is an application of 4G which is characterized …

Multimedia security and privacy on real-time behavioral monitoring in machine learning IoT application using big data analytics

R Ganesh Babu, K Elangovan, S Maurya… - … technologies in the …, 2021 - Springer
Abstract The Internet of Things (IoT) is an advancing idea where physical articles are
associated with one another and customer through the Internet so as to share information …

Cognitive radio rides on the cloud

F Ge, H Lin, A Khajeh, CJ Chiang… - 2010-MILCOM 2010 …, 2010 - ieeexplore.ieee.org
Cognitive Radio (CR) is capable of adaptive learning and reconfiguration, promising
consistent communications performance for C4ISR 1 systems even in dynamic and hostile …