Bathich Ammar Acdulrazzak Primary Author mixed material bibliography Bandung ITB Journal Publisher 2021 e English

Artikel Jurnal

hlm : 56-70 Abstract Universal mobile networks require enhanced capability and appropriate quality of service (QoS) and experience (QoE). To achieve this, Long Term Evolution (LTE) system operators have intensively deployed femtocells (HeNBs) along with macrocells (eNBs) to offer user equipment (UE) with optimal capacity coverage and best quality of service. To achieve the requirement of QoS in the handover stage among macrocells and femtocells we need a seamless cell selection mechanism. Cell selection requirements are considered a difficult task in femtocell-based networks and effective cell selection procedures are essential to reduce the ping-pong phenomenon and to minimize needless handovers. In this study, we propose a seamless cell selection scheme for macrocell-femtocell LTE systems, based on the Q-learning environment. A novel cell selection mechanism is proposed for high-density femtocell network topologies to evaluate the target base station in the handover stage. We used the LTE-Sim simulator to implement and evaluate the cell selection procedures. The simulation results were encouraging: a decrease in the control signaling rate and packet loss ratio were observed and at the same time the system throughput was increased. Ilmu Teknik JICTRA 23375787 Perpustakaan Teknik UPI YAI JICTRA V15N1 June 2021 JICTRA4a-004 Perpustakaan FT UPI YAI JICTRA V15N1 June 2021 JICTRA4b-004 Perpustakaan FT UPI YAI JICTRA V15N1 June 2021 JICTRA4c-004 Perpustakaan FT UPI YAI JICTRA V15N1 June 2021 JICTRA_ITB_small.png.png 59050 2023-02-13 15:45:45 2023-02-13 15:45:45 machine generated