COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Optimization and Incentives Seminar > Random Medium Access Control algorithms, an asymptotic approach
Random Medium Access Control algorithms, an asymptotic approachAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Speaker to be confirmed. Random Medium-Access-Control (MAC) algorithms have played an increasingly important role in the development of wired and wireless Local Area Networks (LANs) and yet the performance of even the simplest of these algorithms, such as slotted-ALOHA, is still not clearly understood. In this talk, we provide a general and accurate method to analyze networks where interfering users share a resource using a random MAC algorithm. The method is based on mean-field theory and it is shown to be asymptotically exact when the number of users grows large; we further explain why it also provides extremely accurate performance estimates even for small systems. We apply the method to solve two open problems: (a) We address the stability region of buffered ALOHA systems. (b) We quantify the performance of adaptive MAC algorithms, such as the exponential back-off algorithm, in a system where saturated users interact through partial interference (by partial, we mean that a user does not necessarily interfere with all other users). This talk is part of the Optimization and Incentives Seminar series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsCategory Theory Seminar Open Knowledge MeetupsOther talksDisease Migration From dry to wet granular media Primate tourism: opportunities and challenges Panel comparisons: Challenor, Ginsbourger, Nobile, Teckentrup and Beck CANCELLED: The rise and fall of the Shopping Mall: dialogues on the relationship of commerce and city Barnum, Bache and Poe: the forging of science in the Antebellum US Sustainability of livestock production: water, welfare and woodland Unbiased Estimation of the Eigenvalues of Large Implicit Matrices 'Walking through Language – Building Memory Palaces in Virtual Reality' Formation and disease relevance of axonal endoplasmic reticulum, a "neuron within a neuron”. Cambridge - Corporate Finance Theory Symposium September 2017 - Day 1 Introduction to the early detection of cancer and novel interventions |