29 citations · 172 across the 19 of their papers we have counts for
5 papers · 1 filter
RIS-Assisted NOMA with Partial CSI and Mutual Coupling: A Machine Learning Approach
Bile Peng, Karl-Ludwig Besser, Shanpu Shen +5
Non-orthogonal multiple access (NOMA) is a promising multiple access technique. Its performance depends strongly on the wireless channel property, which can be enhanced by reconfig…
On the Distribution of a Two-Dimensional Random Walk with Restricted Angles
Karl-Ludwig Besser
In this paper, we derive the distribution of a two-dimensional (complex) random walk in which the angle of each step is restricted to a subset of the circle. This setting appears i…
Distributed Combinatorial Optimization of Downlink User Assignment in mmWave Cell-free Massive MIMO Using Graph Neural Networks
Bile Peng, Bihan Guo, Karl-Ludwig Besser +6
Millimeter wave (mmWave) cell-free massive MIMO (CF mMIMO) is a promising solution for future wireless communications. However, its optimization is non-trivial due to the challengi…
RISnet: A Scalable Approach for Reconfigurable Intelligent Surface Optimization with Partial CSI
Bile Peng, Karl-Ludwig Besser, Ramprasad Raghunath +2
The reconfigurable intelligent surface (RIS) is a promising technology that enables wireless communication systems to achieve improved performance by intelligently manipulating wir…
Approaching Globally Optimal Energy Efficiency in Interference Networks via Machine Learning
Bile Peng, Karl-Ludwig Besser, Ramprasad Raghunath +1
This work presents a machine learning approach to optimize the energy efficiency (EE) in a multi-cell wireless network. This optimization problem is non-convex and its global optim…