eprintid: 4588
rev_number: 6
eprint_status: archive
userid: 313
dir: disk0/00/00/45/88
datestamp: 2021-08-11 01:38:15
lastmod: 2021-08-11 01:38:15
status_changed: 2021-08-11 01:38:15
type: conference_item
metadata_visibility: show
creators_name: Lam, Sinh Cong
creators_name: Tran, Duc-Tan
creators_name: Pham, Viet-Huong
creators_name: Do, Xuan Thu
creators_id: congls@vnu.edu.vn
title: On the Worst Case User Performance in Milliliter Cellular Networks
ispublished: pub
subjects: Communications
divisions: fac_fet
abstract: In the cellular networks, the user at the corner of a cell is usually called worst-case user mobile (WMU) experience the lowest performance. This paper studies WMU performance in millimeter wave cellular systems in three aspects such as throughput, Average Packet Delay (APD) and Packet Loss Ratio (PLR). The multi-slope model in which is recommended by 3GPP to simulate wireless communication is utilized to estimate the received signal power at the WMU in downlink. In order to improve the WMU performance, the Carrier Aggregation technique which has been introduced for Long-Term Evolution (LTE) is studied. By utilizing CA scheme, the WMU is allowed to utilize more than one sub-carrier to perform communications. The simulation results in Network Simulation NS3 indicates that the CA technique can significantly improve the WMU performance. For example, maximum achievable throughput of the CA system is 8.25 Mb/s which is nearly double than that of the non-CA system.
date: 2021-05-13
date_type: published
publisher: Springer Singapore
contact_email: congls@vnu.edu.vn
full_text_status: none
pres_type: paper
place_of_pub: Singapore
pagerange: 473-480
event_title: The International Conference on Intelligent Systems & Networks  (ICISN 2021)
event_location: University of Transport Technology, HN
event_dates: 19-20 March 2021
event_type: conference
refereed: TRUE
citation:   Lam, Sinh Cong and Tran, Duc-Tan and Pham, Viet-Huong and Do, Xuan Thu  (2021) On the Worst Case User Performance in Milliliter Cellular Networks.  In: The International Conference on Intelligent Systems & Networks (ICISN 2021), 19-20 March 2021, University of Transport Technology, HN.