Rate adaptation in MIMO wireless systems
Abstract/Contents
- Abstract
- In Multiple Input Multiple Output (MIMO) systems, predicting performance prior to data transmission is needed to appropriately select transmitter parameters (e.g. QAM modulation, code rate). We want to select transmitter parameters aggressive enough to take advantage of the available channel capacity, but not so aggressive that we do not meet desired performance (error) requirements. The prediction must, therefore, be accurate. But, practical considerations must be accommodated as well. The prediction needs to be easy to compute, given limited resources. An algorithm taking too much time to run or excessive circuitry to implement cannot be deployed. Further, the prediction must be tolerant to imprecise data, as deployed hardware often does not know the environment with complete accuracy. This dissertation presents a family of algorithms to accurately predict the average bit error rate (BER) and packet error rate (PER) of a MIMO system. Further, we address these practical considerations of low computational complexity, and imprecise data. Since the algorithms make no a-priori assumptions about the channel, they are applicable to a wide variety of random channels.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2013 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | McGiffen, Tom |
|---|---|
| Associated with | Stanford University, Department of Electrical Engineering. |
| Primary advisor | Cox, Donald C |
| Thesis advisor | Cox, Donald C |
| Thesis advisor | Cioffi, John M |
| Thesis advisor | Paulraj, Arogyaswami |
| Advisor | Cioffi, John M |
| Advisor | Paulraj, Arogyaswami |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Tom McGiffen. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2013. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2013 by Thomas Glenn McGiffen
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Also listed in
Loading usage metrics...