Kamran Nishat

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A fundamental problem in 802.11 wireless networks is to accurately determine the cause of packet losses. This becomes increasingly important as wireless data rates scale to Gbps, where lack of loss differentiation leads to higher loss in throughput. Recent and upcoming high-speed WLAN standards, such as 802.11n and 802.11ac, use frame aggregation and block(More)
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(More)
An important problem in 802.11 wireless networks is to accurately differentiate between losses while incurring low overhead. Lack of loss differentiation can result in throughput degradation, which becomes increasingly severe as data rates scale up. This paper presents BLMon, a loss differentiation scheme for 802.11n networks that leverages loss patterns in(More)
Long-distance WiFi networks are a cost-effective means for providing Internet connectivity in developing regions. In these regions, providing support for real-time applications is considered an important requirement. Unlike prior works, this paper studies the effectiveness of features (e.g., frame aggregation and channel bonding) of 802.11n/ac in improving(More)
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