Massive MIMO and robust modulation for high-performance wireless systems
Abstract/Contents
- Abstract
- First, we consider physical layer cryptography in the context of the computational complexity associated with desired and undesired receivers decoding signals from massive MIMO arrays. We show that under proper conditions, decoding a massive MIMO signal by an eavesdropper is at least as hard as solving standard lattice problems that are conjectured to be prohibitively complex to solve even with a quantum computer. We use this result to design a wireless system where two users can reliably communicate with low overhead but decoding by an eavesdropper is prohibitively complex. Next, we study MIMO decoding when channel state information (CSI) is unknown to both the transmitter and receiver. We present an algorithm that leverages concepts of linear and mixed-integer linear programming to efficiently perform blind decoding with similar error probability as decoding under perfect CSI. Moreover, measures of the runtime of this algorithm suggest that the real-time blind decoding of MIMO signals is feasible for moderately large MIMO systems and offers several orders of magnitude increase in performance over existing techniques. Thus, our technique enables real-time blind MIMO decoding in rapidly time-varying channels with low probability of error. Finally, we present two novel modulation and detection techniques for channels that exhibit an arbitrary Doppler spread, assuming that the delay spread of the channel is low. These techniques, termed Frequency-Domain Multiplexing with a Frequency-Domain Cyclic Prefix (FDM-FDCP) and Single-Carrier Modulation with Time-Domain Equalization (SC-TDE), are able to compensate for the time variations associated with the Doppler spread. This compensation is done via a simple time-domain equalization method of comparable complexity to the frequency-domain equalization of OFDM. These modulation techniques are shown to outperform OFDM in terms of reliability and spectral efficiency in both high-mobility environments and in systems with high-carrier frequencies
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2020; ©2020 |
| Publication date | 2020; 2020 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Dean, Thomas Ross |
|---|---|
| Degree supervisor | Goldsmith, Andrea, 1964- |
| Thesis advisor | Goldsmith, Andrea, 1964- |
| Thesis advisor | Kahn, Joseph H, 1953- |
| Thesis advisor | Wootters, Mary |
| Degree committee member | Kahn, Joseph H, 1953- |
| Degree committee member | Wootters, Mary |
| Associated with | Stanford University, Department of Electrical Engineering. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Thomas Ross Dean |
|---|---|
| Note | Submitted to the Department of Electrical Engineering |
| Thesis | Thesis Ph.D. Stanford University 2020 |
| Location | electronic resource |
Access conditions
- Copyright
- © 2020 by Thomas Ross Dean
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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