Now showing items 1-2 of 2

    • Deep Reinforcement Learning based Handover Management for Millimeter Wave Communication 

      Mollel, Michael S.; Kaijage, Shubi F.; Michael, Kisangiri (International Journal of Advanced Computer Science and Applications,, 2021)
      The Millimeter Wave (mm-wave) band has a broad-spectrum capable of transmitting multi-gigabit per-second date-rate. However, the band suffers seriously from obstruction and high path loss, resulting in line-of-sight (LOS) ...
    • Intelligent handover decision scheme using double deep reinforcement learning 

      Mollel, Michael S.; Abubakar, Attai Ibrahim; Ozturk, Metin; Kaijage, Shubi; KISANGIRI, MICHAEL; Zoha, Ahmed; Imran, Muhammad Ali; Abbasi, Qammer H. (Elsevier B.V., 2020-10)
      Handovers (HOs) have been envisioned to be more challenging in 5G networks due to the inclusion of millimetre wave (mm-wave) frequencies, resulting in more intense base station (BS) deployments. This, by its turn, increases ...