A Study of Throughput Drop Estimation Model for Concurrently Communicating Links Under Coexistence of Channel Bonding and Non-bonding in IEEE 802.11n WLAN

2021 ◽  
pp. 700-714
Author(s):  
Kwenga Ismael Munene ◽  
Nobuo Funabiki ◽  
Hendy Briantoro ◽  
Md. Mahbubur Rahman ◽  
Sujan Chandra Roy ◽  
...  
Keyword(s):  
Estimation Model ◽  
Ieee 802.11N ◽  
Channel Bonding

scholarly journals An Extension of Throughput Drop Estimation Model for Three-Link Concurrent Communications under Partially Overlapping Channels and Channel Bonding in IEEE 802.11n WLAN

2019 ◽  
Vol 4 (4) ◽  
pp. 94-105
Author(s):  
Kwenga Ismael Munene ◽  
Nobuo Funabiki ◽  
Md. Manowarul Islam ◽  
Minoru Kuribayashi ◽  
Md. Selim Al Mamun ◽  
...  
Keyword(s):  
Estimation Model ◽  
Ieee 802.11N ◽  
Channel Bonding

scholarly journals Impact of Channel Bonding on Network Performance in Real-Time Applications

2019 ◽  
Vol 9 (1) ◽  
pp. 4361-4366
Keyword(s):  
Real Time ◽  
Performance Metrics ◽  
Local Area Network ◽  
Network Throughput ◽  
Area Network ◽  
File Transfer ◽  
Ieee 802.11N ◽  
Channel Bonding ◽  
Real Time Applications ◽  
The Impact

This paper investigates the impact of channel bonding property provided in wireless technology on performance in real-time applications. IEEE 802.11n is an amendment to the IEEE 802.11 Wireless Local Area Network (WLAN) standard, which aims to extensively improve network throughput over legacy WLANs. This new network technology provides a better performance for general Internet applications such as web service and file transfer. However, the recent network measurements show that real-time application traffic is consistently increasing in the Internet. Real-time applications such as Voice over IP (VoIP) or video conferencing requires distinct performance metrics compared to the general Internet services in that they prioritize delay, latency, and delay jitter rather than network throughput. This paper investigates how such real-time applications perform in IEEE 802.11n WLANs. Our indoor experiments show that 802.11n basically supports better service than the previous WLAN standards. The channel bonding technique in 802.11n further improves the performance even under mobile conditions.

Face-aware Saliency Estimation Model for 360° Images

2019 ◽  
Author(s):  
Pramit Mazumdar ◽  
Giuliano Arru ◽  
Marco Carli ◽  
Federica Battisti
Keyword(s):  
Estimation Model
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