Abstract: Weighted sum-rate (WSR) maximization is a fundamental yet generally NP-hard problem in communication system design. Existing optimization-based methods ...
The project provides optimization-based and deep learning-based methods for weighted sum-rate (WSR) maximization in MIMO broadcast channels. It includes: Classical WMMSE and MM algorithms A deep ...
Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
The expectation-maximization (EM) algorithm is a cornerstone technique for parameter estimation in statistical models that incorporate latent variables or incomplete data. By iteratively alternating ...
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