Modulation and multiple access for 5G networks

Y Cai, Z Qin, F Cui, GY Li… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Fifth generation (5G) wireless networks face various challenges in order to support large-
scale heterogeneous traffic and users, therefore new modulation and multiple access (MA) …

NOMA and 5G emerging technologies: A survey on issues and solution techniques

A Akbar, S Jangsher, FA Bhatti - Computer Networks, 2021 - Elsevier
Abstract Power Domain Non-Orthogonal Multiple Access (PD-NOMA) is a potential
technology for the next generation of cellular networks. Compared to classical orthogonal …

Joint task offloading and resource allocation for multi-server mobile-edge computing networks

TX Tran, D Pompili - IEEE Transactions on Vehicular …, 2018 - ieeexplore.ieee.org
Mobile-edge computing (MEC) is an emerging paradigm that provides a capillary
distribution of cloud computing capabilities to the edge of the wireless access network …

Non-orthogonal multiple access in multi-cell networks: Theory, performance, and practical challenges

W Shin, M Vaezi, B Lee, DJ Love… - IEEE …, 2017 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) is a potential enabler for the development of 5G
and beyond wireless networks. By allowing multiple users to share the same time and …

Cloud radio access network (C-RAN): a primer

J Wu, Z Zhang, Y Hong, Y Wen - IEEE network, 2015 - ieeexplore.ieee.org
In the era of mobile Internet, mobile operators are facing pressure on ever-increasing capital
expenditures and operating expenses with much less growth of income. Cloud Radio …

The evolution of radio access network towards open-RAN: Challenges and opportunities

SK Singh, R Singh, B Kumbhani - 2020 IEEE Wireless …, 2020 - ieeexplore.ieee.org
The coexistence of massive Internet of Things (IoT) network and modern technologies (eg,
high speed gaming and self driving vehicles) requires a versatile network which can provide …

Multiple access in cell-free networks: Outage performance, dynamic clustering, and deep reinforcement learning-based design

Y Al-Eryani, M Akrout, E Hossain - IEEE Journal on Selected …, 2020 - ieeexplore.ieee.org
In future cell-free (or cell-less) wireless networks, a large number of devices in a
geographical area will be served simultaneously in non-orthogonal multiple access …

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 …

IEEE 802.11 be: Wi-Fi 7 strikes back

A Garcia-Rodriguez, D López-Pérez… - IEEE …, 2021 - ieeexplore.ieee.org
As hordes of data-hungry devices challenge its current capabilities, Wi-Fi strikes back with
802.11 be, alias Wi-Fi 7. This brand new amendment promises a (r) evolution of unlicensed …

A deep-learning-based radio resource assignment technique for 5G ultra dense networks

Y Zhou, ZM Fadlullah, B Mao, N Kato - IEEE Network, 2018 - ieeexplore.ieee.org
Recently, deep learning has emerged as a state-of-the-art machine learning technique with
promising potential to drive significant breakthroughs in a wide range of research areas. The …