Toward joint learning of optimal MAC signaling and wireless channel access
A Valcarce, J Hoydis - IEEE Transactions on Cognitive …, 2021 - ieeexplore.ieee.org
Communication protocols are the languages used by network nodes. Before a user
equipment (UE) exchanges data with a base station (BS), it must first negotiate the …
equipment (UE) exchanges data with a base station (BS), it must first negotiate the …
Wireless power control via counterfactual optimization of graph neural networks
N Naderializadeh, M Eisen… - 2020 IEEE 21st …, 2020 - ieeexplore.ieee.org
We consider the problem of downlink power control in wireless networks, consisting of
multiple transmitter-receiver pairs communicating with each other over a single shared …
multiple transmitter-receiver pairs communicating with each other over a single shared …
Deep learning techniques to improve radio resource management in vehicular communication network
This paper investigates the deep learning techniques to improve radio resource
management (RRM) in vehicular communication network (VCN). In this paper, the deep …
management (RRM) in vehicular communication network (VCN). In this paper, the deep …
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
LL Pullum - arXiv preprint arXiv:2203.12048, 2022 - arxiv.org
Reinforcement learning has received significant interest in recent years, due primarily to the
successes of deep reinforcement learning at solving many challenging tasks such as …
successes of deep reinforcement learning at solving many challenging tasks such as …
Optimization of resource allocation in multi-cell OFDM systems: a distributed reinforcement learning approach
In this paper, the problem of joint subcarrier and power allocation is studied for multi-cell
orthogonal frequency-division multiplexing (OFDM) systems. This joint subcarrier and power …
orthogonal frequency-division multiplexing (OFDM) systems. This joint subcarrier and power …
A multi-armed bandit-based approach to mobile network provider selection
T Sandholm, S Mukherjee - arXiv preprint arXiv:2012.04755, 2020 - arxiv.org
We argue for giving users the ability to lease bandwidth temporarily from any mobile network
operator. We propose, prototype, and evaluate a spectrum market for mobile network …
operator. We propose, prototype, and evaluate a spectrum market for mobile network …
Machine learning for power control in device‐to‐device communications with full‐duplex relays using ITLinQ spectrum sharing scheme
Z Taheri Hanjani, A Mohammadi… - Transactions on …, 2022 - Wiley Online Library
A proposed mechanism for interference management and scheduling links in device‐to‐
device (D2D) networks with full‐duplex relays (FDRs) is FDR‐information theoretic links …
device (D2D) networks with full‐duplex relays (FDRs) is FDR‐information theoretic links …
User agents, systems and methods for machine-learning aided autonomous mobile network access
Agents, operating on user equipment, and related systems and methods for machine-
learning aided autonomous control of mobile network access are disclosed. The agents …
learning aided autonomous control of mobile network access are disclosed. The agents …