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eess.SP2020
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…
eess.SP2020★ 9 cited
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…