Research Highlights

back Back to all research highlights

October 19, 2014

PhD candidate at the Networking LAB published a journal entitled “Buffer Sizing in Wireless Networks: Challenges, Solutions, and Opportunities,” in the IEEE Communication Magazine

Ahmad Showail, a PhD candidate at the Networking LAB led by Prof. Basem Shihada, has published a journal entitled “Buffer Sizing in Wireless Networks: Challenges, Solutions, and Opportunities,” in the IEEE Communication Magazine. The magazine is ranked #5 among the most-cited journals in telecommunications, according to the Journal Citation Reports published by the ISI. The paper is posted at www.shihada.com

 

In this work, they identified the challenges of optimally sizing buffers in various types of wireless networks as shown in the below figure. The researchers showed that optimally sizing buffers is not only important for real-time traffic, but also for TCP flows sharing the bottleneck buffer as well. They classified wireless buffer sizing schemes into two categories based on network topology: Single-hop and Multi-hop solutions. They also show in this work that it is very difficult to have a single optimal buffer that suites all types of wireless networks. The new advancements in wireless technology, such as 802.11n/ac frame aggregation, further complicates the selection of the optimal buffer size. This work is considered eye opening on the associated challenges on buffer sizing at the wireless edge. Prof. Shihada believes that fixing the wireless buffers requires a lot of work along multiple layer, creating complementary solutions that, taken together, may address the myriad challenges described in this work.

Ahmad Showail is a PhD candidate in the CEMSE Division at King Abdullah University of Science and Technology. Ahmad received his B.Sc. in Computer Engineering from King Fahd University of Petroleum and Minerals and his M.Sc. in Computer Science at KAUST’s inaugural graduation ceremony in 2010. As a member of KAUST’s Networking Lab (NetLab), Ahmad’s research focuses on Quality of Service and resource optimization for wireless networks.