Dynamic optimization with random and smoothed constraints
Abstract/Contents
- Abstract
- Stochastic control theory is a well known mathematical framework that is widely applied because of its robustness. This thesis describes the use of stochastic control, convex optimization, and time smoothing, for resource allocation in radio communication systems. As the demand for heterogeneous multimedia services increases, it has become increasingly important to devise more efficient resource allocation strategies. These resource allocation problems can be represented as network flow control problems where the goal is to design flow controllers, which are equivalent to network protocols. We present a stochastic control framework, that integrates adaptive modulation and network utility maximization, for designing simple and implementable adaptive flow rate controllers for efficient and fair resource allocation. For each problem presented, we characterize the exact optimal controller and in a few special cases we show how to compute it. For cases where computing the optimal controller is intractable, we design efficient suboptimal controllers using approximate dynamic programming.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2011 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Akuiyibo, Ekine |
|---|---|
| Associated with | Stanford University, Department of Electrical Engineering |
| Primary advisor | Boyd, Stephen P |
| Primary advisor | Gill, John T III |
| Thesis advisor | Boyd, Stephen P |
| Thesis advisor | Gill, John T III |
| Thesis advisor | O'Neill, Daniel |
| Advisor | O'Neill, Daniel |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Ekine Omoni Akuiyibo. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2011. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2011 by Ekine Akuiyibo
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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