Rice University
Optimal Routing and Power Allocation for Wireless Networks with Imperfect Full-Duplex Nodes
Abstract
dc:description.abstractWe study a wireless full-duplex network with imperfect interference cancellation and solve the routing and power allocation problem in this network. We use a model that focuses on the effects of full-duplex by including residual self-interference and one hop interference while other interfering signals are considered negligible in comparison. We first solve the optimal power allocation for a fixed route. We then propose a priority-first search algorithm to find the joint route and power allocation to maximize throughput. The algorithm proposed has a non decomposable priority metric, but is efficiently evaluated by our solution for a fixed route. We analyze the performance of our solution in a more realistic model by deriving bounds between optimal solutions in both models. Through simulations we show that, even with imperfect interference cancellation, full-duplex achieves a higher throughput than half-duplex or direct transmission for moderate transmission power.
Degree
thesis:*- Name thesis:degree_name
- Master of Science
- Level thesis:degree_level
- Masters
- Discipline thesis:degree_discipline
- Engineering
- Grantor
- Rice University
- Year dc:date.issued
- 2013
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Ramirez Dominguez, David
- Advisor dc:contributor.advisor
-
- Aazhang, Behnaam
- Committee members dc:contributor.committeemember
-
- Knightly, Edward W.
- Sabharwal, Ashutosh
Subjects
dc:subject × 6Rights
dc:rights- Statement dc:rights
-
- Copyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- https://hdl.handle.net/1911/71682
- OAI identifier oai:identifier
- oai:repository.rice.edu:1911/71682