[图书][B] Multiple access techniques for 5G wireless networks and beyond

M Vaezi, Z Ding, HV Poor - 2019 - Springer
Waveform design, multiple access, and random access techniques for fifth-generation (5G)
wireless networks and beyond are cutting-edge research topics that motivate a very wide …

Q-learning-based SCMA for efficient random access in mMTC networks with short packets

DD Tran, SK Sharma, S Chatzinotas… - 2021 IEEE 32nd …, 2021 - ieeexplore.ieee.org
In massive machine-type communications (mMTC) networks, the ever-growing number of
MTC devices and the limited radio resources have caused a severe problem of random …

Interleave division multiple access (idma)

Y Hu, L Ping - Multiple Access Techniques for 5G Wireless Networks …, 2019 - Springer
In this chapter, we start with a comparison on non-orthogonal multiple access (NOMA) and
orthogonal multiple access (OMA). We show that the performance difference between …

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 …

Enabling multi-functional 5G and beyond user equipment: A survey and tutorial

Y Huo, X Dong, W Xu, M Yuen - IEEE Access, 2019 - ieeexplore.ieee.org
The fifth generation (5G) research and development has been fueled by many new
breakthroughs in various areas. The recent progress in carrier aggregation (CA), licensed …

[HTML][HTML] Multiple Access for Heterogeneous Wireless Networks with Imperfect Channels Based on Deep Reinforcement Learning

Y Xu, J Lou, T Wang, J Shi, T Zhang, A Paul, Z Wu - Electronics, 2023 - mdpi.com
In heterogeneous wireless networks, when multiple nodes need to share the same wireless
channel, they face the issue of multiple access, which necessitates a Medium Access …

Transfer reinforcement learning for 5G new radio mmWave networks

M Elsayed, M Erol-Kantarci… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we aim at interference mitigation in 5G millimeter-Wave (mm-Wave)
communications by employing beamforming and Non-Orthogonal Multiple Access (NOMA) …

Multi-agent deep learning for multi-channel access in slotted wireless networks

R Mennes, FAP De Figueiredo, S Latre - IEEE Access, 2020 - ieeexplore.ieee.org
As the number of devices connected to the internet and the amount of data they generate
increases, the wireless spectrum is becoming an essential and scarce resource. Most …

Detection for 5G-NOMA: An online adaptive machine learning approach

DA Awan, RLG Cavalcante, M Yukawa… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) has emerged as a promising radio access
technique for enabling the performance enhancements promised by the fifth-generation (5G) …

Deep learning-aided SCMA

M Kim, NI Kim, W Lee, DH Cho - IEEE Communications Letters, 2018 - ieeexplore.ieee.org
Sparse code multiple access (SCMA) is a promising code-based non-orthogonal multiple-
access technique that can provide improved spectral efficiency and massive connectivity …