1 citations · 1 across the 6 of their papers we have counts for
6 papers
Graph Neural Networks for Resource Allocation in Interference-limited Multi-Channel Wireless Networks with QoS Constraints
Lili Chen, Changyang She, Jingge Zhu +1
Meeting minimum data rate constraints is a significant challenge in wireless communication systems, particularly as network complexity grows. Traditional deep learning approaches o…
Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks
Lili Chen, Changyang She, Jingge Zhu +1
As the number of mobile devices continues to grow, interference has become a major bottleneck in improving data rates in wireless networks. Efficient joint channel and power alloca…
Power Allocation for Compute-and-Forward over Fading Channels
Lanwei Zhang, Jamie Evans, Jingge Zhu
Compute-and-forward (CF) is a relaying strategy which allows the relay to decode a linear combination of the transmitted messages. This work studies the optimal power allocation pr…
Compute-Forward Multiple Access for Gaussian MIMO Channels
Lanwei Zhang, Jamie Evans, Jingge Zhu
Compute-forward multiple access (CFMA) is a multiple access transmission scheme based on Compute-and-Forward (CF) which allows the receiver to first decode linear combinations of t…
GNN-Based Joint Channel and Power Allocation in Heterogeneous Wireless Networks
Lili Chen, Jingge Zhu, Jamie Evans
The optimal allocation of channels and power resources plays a crucial role in ensuring minimal interference, maximal data rates, and efficient energy utilisation. As a successful…
Compute-Forward Multiple Access for Gaussian Fast Fading Channels
Lanwei Zhang, Jamie Evans, Jingge Zhu
Compute-forward multiple access (CFMA) is a transmission strategy which allows the receiver in a multiple access channel (MAC) to first decode linear combinations of the transmitte…