A review of deep learning in 5G research: Channel coding, massive MIMO, multiple access, resource allocation, and network security
A Ly, YD Yao - IEEE Open Journal of the Communications …, 2021 - ieeexplore.ieee.org
The current development of 5G technology is flourishing with widespread deployment
across the world at a rapid pace. However, there is still a demand concerning 5G research …
across the world at a rapid pace. However, there is still a demand concerning 5G research …
[HTML][HTML] When 5G meets deep learning: a systematic review
This last decade, the amount of data exchanged on the Internet increased by over a
staggering factor of 100, and is expected to exceed well over the 500 exabytes by 2020. This …
staggering factor of 100, and is expected to exceed well over the 500 exabytes by 2020. This …
Artificial intelligence for 5G and beyond 5G: Implementations, algorithms, and optimizations
The communication industry is rapidly advancing towards 5G and beyond 5G (B5G) wireless
technologies in order to fulfill the ever-growing needs for higher data rates and improved …
technologies in order to fulfill the ever-growing needs for higher data rates and improved …
DeepReceiver: A deep learning-based intelligent receiver for wireless communications in the physical layer
S Zheng, S Chen, X Yang - IEEE Transactions on Cognitive …, 2020 - ieeexplore.ieee.org
A canonical wireless communication system consists of a transmitter and a receiver. The
information bit stream is transmitted after coding, modulation, and pulse shaping. Due to the …
information bit stream is transmitted after coding, modulation, and pulse shaping. Due to the …
Rlops: Development life-cycle of reinforcement learning aided open ran
Radio access network (RAN) technologies continue to evolve, with Open RAN gaining the
most recent momentum. In the O-RAN specifications, the RAN intelligent controllers (RICs) …
most recent momentum. In the O-RAN specifications, the RAN intelligent controllers (RICs) …
[HTML][HTML] Toward intelligent wireless communications: Deep learning-based physical layer technologies
S Liu, T Wang, S Wang - Digital Communications and Networks, 2021 - Elsevier
Advanced technologies are required in future mobile wireless networks to support services
with highly diverse requirements in terms of high data rate and reliability, low latency, and …
with highly diverse requirements in terms of high data rate and reliability, low latency, and …
Efficient MIMO detection with imperfect channel knowledge-a deep learning approach
Multiple-input multiple-output (MIMO) system is the key technology for long term evolution
(LTE) and 5G. The information detection problem at the receiver side is in general difficult …
(LTE) and 5G. The information detection problem at the receiver side is in general difficult …
Learning to denoise and decode: A novel residual neural network decoder for polar codes
H Zhu, Z Cao, Y Zhao, D Li - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
Polar codes are known as the first capacity-achievable codes with low encoding and
decoding complexity. The sequential decoding nature of traditional polar decoding …
decoding complexity. The sequential decoding nature of traditional polar decoding …
A survey on belief propagation decoding of polar codes
AÇ Arli, O Gazi - China Communications, 2021 - ieeexplore.ieee.org
The increasing data traffic rate of wireless communication systems forces the development
of new technologies mandatory. Providing high data rate, extremely low latency and …
of new technologies mandatory. Providing high data rate, extremely low latency and …
Channel Coding Towards 6G: Technical Overview and Outlook
Channel coding plays a pivotal role in ensuring reliable communication over wireless
channels. With the growing need for ultra-reliable communication in emerging wireless use …
channels. With the growing need for ultra-reliable communication in emerging wireless use …