Browsing by Author "Elbir, Ahmet M."

Now showing items 1-4 of 4

    • Deep Channel Learning For Large Intelligent Surfaces Aided mm-Wave Massive MIMO Systems 

      Elbir, Ahmet M.; Papazafeiropoulos, Anastasios; Kourtessis, Pandelis; Chatzinotas, Symeon; Senior, John (2020-09)
      This letter presents the first work introducing a deep learning (DL) framework for channel estimation in large intelligent surface (LIS) assisted massive MIMO (multiple-input multiple-output) systems. A twin convolutional ...

    • A Hybrid Architecture for Federated and Centralized Learning 

      Elbir, Ahmet M.; Coleri, Sinem; Papazafeiropoulos, Anastasios K.; Kourtessis, Pandelis; Chatzinotas, Symeon (2022-09-01)
      Many of the machine learning tasks rely on centralized learning (CL), which requires the transmission of local datasets from the clients to a parameter server (PS) entailing huge communication overhead. To overcome this, ...

    • Hybrid Precoding for Multiuser Millimeter Wave Massive MIMO Systems : A Deep Learning Approach 

      Elbir, Ahmet M.; Papazafeiropoulos, Anastasios (2019-11-04)
      In multi-user millimeter wave (mmWave) multiple-input-multiple-output (MIMO) systems, hybrid precoding is a crucial task to lower the complexity and cost while achieving a sufficient sum-rate. Previous works on hybrid ...

    • Near-Field Terahertz Communications: Model-Based and Model-Free Channel Estimation 

      Elbir, Ahmet M.; Shi, Wei; Papazafeiropoulos, Anastasios K.; Kourtessis, Pandelis; Chatzinotas, Symeon (2023-04-11)
      Terahertz (THz) band is expected to be one of the key enabling technologies of the sixth generation (6G) wireless networks because of its abundant available bandwidth and very narrow beamwidth. Due to high frequency ...