Files in this item
Files | Description | Format |
---|---|---|
application/pdf ![]() ![]() | (no description provided) |
Description
Title: | Learning-Based Interference Mitigation for Wireless Networks |
Author(s): | Chen, Chun-cheng |
Doctoral Committee Chair(s): | Vaidya, Nitin H. |
Department / Program: | Computer Science |
Discipline: | Computer Science |
Degree Granting Institution: | University of Illinois at Urbana-Champaign |
Degree: | Ph.D. |
Genre: | Dissertation |
Subject(s): | Computer Science |
Abstract: | Wireless networks have raised great attention in the past decades because they provide tether-free connectivity. Although much of the effort in wireless network research has been spent on reducing the interference among the communication nodes, the problem remains open. In this dissertation, we propose a learning-based approach to alleviate wireless interference. The principle of the learning-based approach is based on the observation that although wireless networks are usually complex and dynamic, information can still be extracted from the data measured in the past. By learning from what was observed in the past we can select the desired operational parameters, react intelligently, and achieve substantial performance gain. In particular, we, show that interference mitigation can be achieved in three different aspects: (1) collision avoidance, (2) channel rate adaptation, and (3) spatial reuse. |
Issue Date: | 2009 |
Type: | Text |
Description: | 95 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009. |
URI: | http://hdl.handle.net/2142/72049 |
Other Identifier(s): | (UMI)AAI3362749 |
Date Available in IDEALS: | 2014-12-17 |
Date Deposited: | 2009 |
This item appears in the following Collection(s)
-
Dissertations and Theses - Computer Science
Dissertations and Theses from the Dept. of Computer Science -
Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois