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Saim Salman

dblp:192/2244 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Wireless networking · 67% Internet architecture and protocols · 33%
Computer graphics and multimedia
1 paper
Multimedia systems and quality of experience · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless networking › link adaptation
channel width adaptation
0.212016
SlickFi: A Service Differentiation Scheme for High-Speed WLANs using Dual Radio APs · CoNEXT 2016
Internet architecture and protocols › quality of service
differentiated services
0.212016
SlickFi: A Service Differentiation Scheme for High-Speed WLANs using Dual Radio APs · CoNEXT 2016
Wireless networking
WLAN
0.212016
SlickFi: A Service Differentiation Scheme for High-Speed WLANs using Dual Radio APs · CoNEXT 2016
Multimedia systems and quality of experience
video quality assessment
0.112016
SlickFi: A Service Differentiation Scheme for High-Speed WLANs using Dual Radio APs · CoNEXT 2016

Methods — techniques the papers use, named apart from their topics

dual radio AP · 0.5driver-level implementation · 0.5
YearPublicationVenuePosition
2016 SlickFi: A Service Differentiation Scheme for High-Speed WLANs using Dual Radio APs
abstract
Wireless LANs (WLANs) carry a diversemix of traffic, ranging from delay-sensitive real-time applications to bulk transfers. Using existing QoS mechanisms in high speed WLANs (e.g., 802.11n/ac) presents a tradeoff between maximizing the performance of real-time applications and achieving high throughput. We propose SlickFi, a service differentiation scheme for high-speed WLANs that addresses this tradeoff by leveraging existing dual radio WiFi access points (APs). SlickFi opportunistically adapts channel width on a per-frame basis based on application demands and communicates traffic information across radios to control aggregate frame sizes for improving channel efficiency. SlickFi can be readily deployed on commodity devices using only driver-level changes at the AP-side. We implemented SlickFi in the ath9k driver and using real testbed experiments, show that it can improve aggregate throughput by up to 1.8x and 2.2x over 802.11n and 802.11e, respectively and the PSNR of 1080p videos by up to 3.4x and 1.7x over 802.11n and 802.11e, respectively.
Kamran Nishat, Farrukh Javed, Saim Salman, Nofel Yaseen, Ans Fida, Ihsan Ayyub Qazi
CoNEXT3