Convergence of edge computing and deep learning: A comprehensive survey

X Wang, Y Han, VCM Leung, D Niyato… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Ubiquitous sensors and smart devices from factories and communities are generating
massive amounts of data, and ever-increasing computing power is driving the core of …

IEEE 802.11 be Wi-Fi 7: New challenges and opportunities

C Deng, X Fang, X Han, X Wang, L Yan… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
With the emergence of 4k/8k video, the throughput requirement of video delivery will keep
grow to tens of Gbps. Other new high-throughput and low-latency video applications …

6G and beyond: The future of wireless communications systems

IF Akyildiz, A Kak, S Nie - IEEE access, 2020 - ieeexplore.ieee.org
6G and beyond will fulfill the requirements of a fully connected world and provide ubiquitous
wireless connectivity for all. Transformative solutions are expected to drive the surge for …

6G: Opening new horizons for integration of comfort, security, and intelligence

G Gui, M Liu, F Tang, N Kato… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
The innovations provided by sixth generation wireless communication (6G) as compared to
fifth generation (5G) are considered in this article based on analysis of related works. With …

Ten challenges in advancing machine learning technologies toward 6G

N Kato, B Mao, F Tang, Y Kawamoto… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
As the 5G standard is being completed, academia and industry have begun to consider a
more developed cellular communication technique, 6G, which is expected to achieve high …

Thirty years of machine learning: The road to Pareto-optimal wireless networks

J Wang, C Jiang, H Zhang, Y Ren… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …

Edge-computing-enabled smart cities: A comprehensive survey

LU Khan, I Yaqoob, NH Tran… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Recent years have disclosed a remarkable proliferation of compute-intensive applications in
smart cities. Such applications continuously generate enormous amounts of data which …

IoT connectivity technologies and applications: A survey

J Ding, M Nemati, C Ranaweera, J Choi - IEEE Access, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) is rapidly becoming an integral part of our life and also multiple
industries. We expect to see the number of IoT connected devices explosively grows and will …

LightAMC: Lightweight automatic modulation classification via deep learning and compressive sensing

Y Wang, J Yang, M Liu, G Gui - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is an promising technology for non-cooperative
communication systems in both military and civilian scenarios. Recently, deep learning (DL) …

Complex-valued networks for automatic modulation classification

Y Tu, Y Lin, C Hou, S Mao - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
Deep learning (DL) has been recognized as an effective solution for automatic modulation
classification (AMC). However, most recent DL based AMC works are based on real-valued …