Machine learning meets communication networks: Current trends and future challenges

I Ahmad, S Shahabuddin, H Malik, E Harjula… - IEEE …, 2020 - ieeexplore.ieee.org
The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …

Bidirectional resource scheduling algorithm for advanced long term evolution system

R Gatti, S Shankar - Engineering Reports, 2020 - Wiley Online Library
The 5G long term evolution‐advanced (LTE‐A) system aims to offer unprecedent data rates,
user experience, and minimal latency amongst the end users with the introduction of carrier …

Resource optimization with load coupling in multi-cell NOMA

L You, D Yuan, L Lei, S Sun… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Optimizing non-orthogonal multiple access (NOMA) in multi-cell scenarios is much more
challenging than the single-cell case because inter-cell interference must be considered …

RF canceller tuning acceleration using neural network machine learning for in-band full-duplex systems

KE Kolodziej, AU Cookson… - IEEE open journal of the …, 2021 - ieeexplore.ieee.org
The fifth-generation wireless system framework provides the option to evaluate the
performance of in-band full-duplex (IBFD) operation through flexible duplexing. The …

Radio resource management in NB-IoT systems: Empowered by interference prediction and flexible duplexing

H Malik, MM Alam, H Pervaiz, Y Le Moullec… - IEEE …, 2019 - ieeexplore.ieee.org
NB-IoT is a promising cellular technology for enabling low cost, low power, long-range
connectivity to IoT devices. With the bandwidth requirement of 180 kHz, it provides the …

Flex-Net: A graph neural network approach to resource management in flexible duplex networks

T Perera, S Atapattu, Y Fang… - 2023 IEEE Wireless …, 2023 - ieeexplore.ieee.org
Flexible duplex networks allow users to dynamically employ uplink and downlink channels
without static time scheduling, thereby utilizing the network resources efficiently. This work …

Sum-rate optimization in flexible half-duplex networks with transmitter/receiver scheduling

S Dayarathna, R Senanayake… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, we focus on the problem of transmitter and receiver scheduling to maximize
the achievable sum-rate of a flexible half-duplex network where nodes have the flexibility to …

Deep reinforcement learning-based hierarchical time division duplexing control for dense wireless and mobile networks

NN Dao, W Noh, S Cho - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
Future wireless and mobile network services must accommodate highly dynamic downlink
and uplink traffic asymmetry. To fulfill this requirement, the third-generation partnership …

A note on decoding order in user grouping and power optimization for multi-cell NOMA with load coupling

L You, D Yuan - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
In this technical note, we present a new theoretical result for multi-cell non-orthogonal
multiple access (NOMA). For multi-cell scenarios, a so-called load-coupling model has been …

Throughput maximization of flexible duplex networks with an in-band full-duplex UAV-BS

Q Ding, Y Luo, C Luo - ICC 2023-IEEE International …, 2023 - ieeexplore.ieee.org
Flexible duplex is regarded as a promising technology for the fifth generation (5G) and
beyond networks. In flexible duplex networks, communication nodes are capable of …