9 citations · 11 across the 5 of their papers we have counts for
3 papers · 1 filter
Reinforcement Learning for Efficient and Tuning-Free Link Adaptation
Vidit Saxena, Hugo Tullberg, Joakim Jaldén
Wireless links adapt the data transmission parameters to the dynamic channel state -- this is called link adaptation. Classical link adaptation relies on tuning parameters that are…
Deep unfolding of the weighted MMSE beamforming algorithm
Lissy Pellaco, Mats Bengtsson, Joakim Jaldén
Downlink beamforming is a key technology for cellular networks. However, computing the transmit beamformer that maximizes the weighted sum rate subject to a power constraint is an…
Thompson Sampling for Linearly Constrained Bandits
Vidit Saxena, Joseph E. Gonzalez, Joakim Jaldén
We address multi-armed bandits (MAB) where the objective is to maximize the cumulative reward under a probabilistic linear constraint. For a few real-world instances of this proble…