A deep reinforcement learning framework for spectrum management in dynamic spectrum access
Dynamic spectrum access (DSA) has the great potential to alleviate spectrum shortage and
promote network capacity. However, two fundamental technical issues have to be …
promote network capacity. However, two fundamental technical issues have to be …
Deep neural networks for linear sum assignment problems
Many resource allocation issues in wireless communications can be modeled as
assignment problems and can be solved online with global information. However, traditional …
assignment problems and can be solved online with global information. However, traditional …
Random network coding enabled routing protocol in unmanned aerial vehicle networks
Unmanned aerial vehicles (UAVs) are becoming important communication infrastructures.
One major challenge of communications with UAV networks is the routing protocol design …
One major challenge of communications with UAV networks is the routing protocol design …
Modulation parameter estimation of LFM interference for direct sequence spread spectrum communication system in alpha-stable noise
The linear frequency modulation (LFM) interference is one of the typical broadband
interferences in direct sequence spread spectrum (DSSS) communication system. In this …
interferences in direct sequence spread spectrum (DSSS) communication system. In this …
A graph-based neural approach to linear sum assignment problems
C Aironi, S Cornell, S Squartini - International Journal of Neural …, 2024 - iris.univpm.it
Linear assignment problems are well-known combinatorial optimization problems involving
domains such as logistics, robotics, and telecommunications. In general, obtaining an …
domains such as logistics, robotics, and telecommunications. In general, obtaining an …
Bidirectional long short-term memory neural networks for linear sum assignment problems
N Minh-Tuan, YH Kim - Applied Sciences, 2019 - mdpi.com
Many resource allocation problems can be modeled as a linear sum assignment problem
(LSAP) in wireless communications. Deep learning techniques such as the fully-connected …
(LSAP) in wireless communications. Deep learning techniques such as the fully-connected …
When DSA meets SWIPT: A joint power allocation and time splitting scheme based on multi-agent deep reinforcement learning
Dynamic spectrum access (DSA) and simultaneously wireless information and power
transfer (SWIPT) are two promising approaches to address the spectrum and energy supply …
transfer (SWIPT) are two promising approaches to address the spectrum and energy supply …
Tackling the linear sum assignment problem with graph neural networks
C Aironi, S Cornell, S Squartini - International Conference on Applied …, 2022 - Springer
Abstract Linear Assignment Problems are fundamental combinatorial optimization problems
that appear throughout domains such as logistics, robotics and telecommunications. In …
that appear throughout domains such as logistics, robotics and telecommunications. In …
Harmonious coexistence and efficient spectrum sharing for LTE-U and Wi-Fi
Extending LTE to unlicensed bands (LTE-U) is gaining increasing interest recently.
However, its success faces great challenges due to the inherent lack of compatibility …
However, its success faces great challenges due to the inherent lack of compatibility …
Performance optimization for D2D communications with opportunistic relay and physical-layer network coding
In this paper, we investigate the joint signal to interference plus noise ratio (SINR) thresholds
optimization and resource allocation to maximize the sum-rate of Device-to-Device (D2D) …
optimization and resource allocation to maximize the sum-rate of Device-to-Device (D2D) …