2026-09-19T21:10:13Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1228732021-07-05T14:03:20Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Yury Polyanskiy.
Kowshik, Suhas S.(Suhas Subramanya)
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2019-11-12T17:40:45Z
2019-11-12T17:40:45Z
2018
2018
https://hdl.handle.net/1721.1/122873
1126651007
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 81-83).
Wireless networks in the near future face a formidable challenge of accommodating a dense set of infrequently communicating devices characterized by small data payloads and strict latency and energy constraints. In such a scenario, providing energy efficient random-access access becomes a challenge. Information theoretic analysis of such systems becomes imperative to understand the gap from optimality of the methods of random-access currently employed. In this thesis we discuss the trade-off between the required energy-per-bit to achieve a target probability of error (per-user) and the number of active users. Previous works in this regard focused on the AWGN channel model. In this thesis we consider the issue of Rayleigh fading. Specifically, we use random coding with a subspace projection based decoder to get finite blocklength bounds from which we arrive at the trade-off. Further we justify the use of our decoder by proving its asymptotic optimality for the channel under consideration. We also show that the required energy-per-bit increases from around 0-2 dB (for AWGN) to around 8-12 dB under fading.
by Suhas S. Kowshik.
S.M.
S.M. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
83 pages
eng
Massachusetts Institute of Technology
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Coding for random access in wireless networks
Thesis
application/pdf
2019-11-12T17:40:43Z
Publication
Master
EECS
unknown
unknown
<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="b2c731be-cd66-492e-bf0a-6db503e44b5b">
<Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type>
<Language>eng</Language>
<Title>Coding for random access in wireless networks</Title>
<PublishedIn>
<Publication>
</Publication>
</PublishedIn>
<PublicationDate>2018</PublicationDate>
<Authors>
<Author>
<DisplayName>Kowshik, Suhas S.(Suhas Subramanya)</DisplayName>
<Affiliation>
<OrgUnit>
</OrgUnit>
</Affiliation>
</Author>
</Authors>
<Editors>
</Editors>
<Publishers>
<Publisher>
<DisplayName>Massachusetts Institute of Technology</DisplayName>
<OrgUnit />
</Publisher>
</Publishers>
<License>http://dspace.mit.edu/handle/1721.1/7582</License>
<Keyword>Electrical Engineering and Computer Science.</Keyword>
<Abstract>Wireless networks in the near future face a formidable challenge of accommodating a dense set of infrequently communicating devices characterized by small data payloads and strict latency and energy constraints. In such a scenario, providing energy efficient random-access access becomes a challenge. Information theoretic analysis of such systems becomes imperative to understand the gap from optimality of the methods of random-access currently employed. In this thesis we discuss the trade-off between the required energy-per-bit to achieve a target probability of error (per-user) and the number of active users. Previous works in this regard focused on the AWGN channel model. In this thesis we consider the issue of Rayleigh fading. Specifically, we use random coding with a subspace projection based decoder to get finite blocklength bounds from which we arrive at the trade-off. Further we justify the use of our decoder by proving its asymptotic optimality for the channel under consideration. We also show that the required energy-per-bit increases from around 0-2 dB (for AWGN) to around 8-12 dB under fading.</Abstract>
<Access xmlns="http://purl.org/coar/access_right"
>
</Access>
</Publication>