Dynamic power allocation and routing for satellite and wireless networks with time varying channels

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2004.

Bibliographic Details
Main Author: Neely, Michael J. (Michael James), 1975-
Other Authors: Eytan Modiano.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/16616
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author Neely, Michael J. (Michael James), 1975-
author2 Eytan Modiano.
author_facet Eytan Modiano.
Neely, Michael J. (Michael James), 1975-
author_sort Neely, Michael J. (Michael James), 1975-
collection MIT
description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2004.
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spelling mit-1721.1/166162019-04-10T07:34:23Z Dynamic power allocation and routing for satellite and wireless networks with time varying channels Neely, Michael J. (Michael James), 1975- Eytan Modiano. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2004. Includes bibliographical references (p. 283-295). This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Satellite and wireless networks operate over time varying channels that depend on attenuation conditions, power allocation decisions, and inter-channel interference. In order to reliably integrate these systems into a high speed data network and meet the increasing demand for high throughput and low delay, it is necessary to develop efficient network layer strategies that fully utilize the physical layer capabilities of each network element. In this thesis, we develop the notion of network layer capacity and describe capacity achieving power allocation and routing algorithms for general networks with wireless links and adaptive transmission rates. Fundamental issues of delay, throughput optimality, fairness, implementation complexity, and robustness to time varying channel conditions and changing user demands are discussed. Analysis is performed at the packet level and fully considers the queueing dynamics in systems with arbitrary, potentially bursty, arrival processes. Applications of this research are examined for the specific cases of satellite networks and ad-hoc wireless networks. Indeed, in Chapter 3 we consider a multi-beam satellite downlink and develop a dynamic power allocation algorithm that allocates power to each link in reaction to queue backlog and current channel conditions. The algorithm operates without knowledge of the arriving traffic or channel statistics, and is shown to achieve maximum throughput while maintaining average delay guarantees. At the end of Chapter 4, a crosslinked collection of such satellites is considered and a satellite separation principle is developed, demonstrating that joint optimal control can be implemented with separate algorithms for the downlinks and crosslinks. (cont.) Ad-hoc wireless networks are given special attention in Chapter 6. A simple cell- partitioned model for a mobile ad-hoc network with N users is constructed, and exact expressions for capacity and delay are derived. End-to-end delay is shown to be O(N), and hence grows large as the size of the network is increased. To reduce delay, a transmission protocol which sends redundant packet information over multiple paths is developed and shown to provide O(vN) delay at the cost of reducing throughput. A fundamental rate- delay tradeoff curve is established, and the given protocols for achieving O(N) and O(vN) delay are shown to operate on distinct boundary points of this curve. In Chapters 4 and 5 we consider optimal control for a general time-varying network. A cross-layer strategy is developed that stabilizes the network whenever possible, and makes fair decisions about which data to serve when inputs exceed capacity. The strategy is decoupled into separate algorithms for dynamic flow control, power allocation, and routing, and allows for each user to make greedy decisions independent of the actions of others. The combined strategy is shown to yield data rates that are arbitrarily close to the optimally fair operating point that is achieved when all network controllers are coordinated and have perfect knowledge of future events. The cost of approaching this fair operating point is an end-to-end delay increase for data that is served by the network. by Michael J. Neely. Ph.D. 2005-05-17T14:41:01Z 2005-05-17T14:41:01Z 2003 2004 Thesis http://hdl.handle.net/1721.1/16616 55674822 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 295 p. 1502113 bytes 1500707 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Neely, Michael J. (Michael James), 1975-
Dynamic power allocation and routing for satellite and wireless networks with time varying channels
title Dynamic power allocation and routing for satellite and wireless networks with time varying channels
title_full Dynamic power allocation and routing for satellite and wireless networks with time varying channels
title_fullStr Dynamic power allocation and routing for satellite and wireless networks with time varying channels
title_full_unstemmed Dynamic power allocation and routing for satellite and wireless networks with time varying channels
title_short Dynamic power allocation and routing for satellite and wireless networks with time varying channels
title_sort dynamic power allocation and routing for satellite and wireless networks with time varying channels
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/16616
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