Our lab is Intelligent Wireless Communications Lab. Our primary research interest is to develop and analyze future wireless systems (beyond 5G and 6G) with information/communication theory, signal processing, and machine learning. Our current research directions include, but not limited to: advanced wireless system for B5G, machine learning for wireless, information security, and cell-free massive MIMO.
Intelligent Wireless Communications Lab. (IWCL) is now seeking prospective interns & graduate students who are interested in 6G communications and machine learning algorithms.
Please contact us (email@example.com) with a brief introduction of yourself and Resume/CV.
[Feb. 2021] Min-Taek Oh has joined IWCL as a MS+PhD student. Welcome!
[Feb. 2021] Our paper "Block Orthogonal Sparse Superposition Code" is submitted to IEEE Int. Symp. on Inform. Theory (ISIT) 2021
[Jan. 2021] Our paper "Robust Learning-Based ML Detection for Massive MIMO Systems with One-Bit Quantized Signals," is accepted to IEEE Global Commun. Conf. (GLOBECOM) 2021
[Jan. 2021] Our paper "Sum Spectral Efficiency Optimization for Rate Splitting in Downlink MU-MISO: A Generalized Power Iteration Approach" is accepted to IEEE WCNC Workshop 2021
[Dec. 2020] Our new paper "Sum Spectral Efficiency Optimization for Rate Splitting in Downlink MU-MISO: A Generalized Power Iteration Approach" is submitted.
[Dec. 2020] Our paper "MIMO Design for Internet-of-Things: Joint Optimization of Spectral Efficiency and Error Probability in Finite Blocklength Regime" is submitted.
[Dec. 2020]. Our paper "Sum Secrecy Spectral Efficiency Maximization in Downlink MU-MIMO: Colluding Eavesdroppers," is accepted to IEEE Transactions on Vehicular Technology, 2020
[Nov. 2020]. Our paper, "Quantized Massive MIMO Systems with Multicell Coordinated Beamforming and Power Control," is accepted to IEEE Transactions on Communications, 2020
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