Rateless wireless networks
Abstract/Contents
- Abstract
- Wireless networks rely on passive channel strength prediction or explicit receiver feedback mechanisms for rate adaptation on the physical (PHY) layer. In the MAC layer, current wireless protocols aim to avoid collisions either through passive exponential backing off or explicit handshaking protocols. However, all these mechanisms are either inaccurate or add significant control overhead especially with highly mobile clients or in networks with high contention. In this dissertation, we present the design of a Rateless Wireless Network where transmitters can transmit oblivious to the wireless channel state without sacrificing performance. This is achieved by designing novel PHY and MAC layer protocols : Strider and AutoMAC. Strider is a rateless code for wireless networks which adapts to varying channel strength at the physical (PHY) layer without explicit rate adaptation or channel strength feedback. The transmitter sends a stream of coded packets until the receiver successfully decodes and sends back an ACK. We then build on top of a rateless code in the PHY layer to design a MAC protocol (AutoMAC). AutoMAC uses the rateless code at the PHY layer to enable successive interference cancellation techniques. It can thus exploit collisions (instead of avoiding them) by decoding all component packets in a collision.
Description
Type of resource | text |
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Form | electronic; electronic resource; remote |
Extent | 1 online resource. |
Publication date | 2015 |
Issuance | monographic |
Language | English |
Creators/Contributors
Associated with | Gudipati, Aditya |
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Associated with | Stanford University, Department of Electrical Engineering. |
Primary advisor | Katti, Sachin |
Thesis advisor | Katti, Sachin |
Thesis advisor | Levis, Philip |
Thesis advisor | Özgür, Ayfer |
Advisor | Levis, Philip |
Advisor | Özgür, Ayfer |
Subjects
Genre | Theses |
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Bibliographic information
Statement of responsibility | Aditya Gudipati. |
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Note | Submitted to the Department of Electrical Engineering. |
Thesis | Thesis (Ph.D.)--Stanford University, 2015. |
Location | electronic resource |
Access conditions
- Copyright
- © 2015 by Aditya Gudipati
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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