Reduced complexity robust MIMO transceiver design

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In this thesis, we design receivers and transmitters without the assumption of perfect channel state information (CSI). This is important because in practice, obtaining error-free CSI is impossible due to measurement errors, quantization errors and many other sources of errors. The main bulk of this thesis focuses on the multiple-input multiple-output (MIMO) wireless communication systems, with a chapter being dedicated to the distributed wireless communication systems (DWCS). In the study of the MIMO system, we make use of the estimated CSI and the statistics of the estimation errors to design receiver and to jointly design transmitter-receiver in order to minimize the symbol error rate (SER) performance. Our proposed receiver is known as the robust sphere decoder; it is near-optimal in the SER sense and has significantly reduced complexity when compared to the exact maximum-likelihood (ML) decoder. Our proposed joint transmitter-receiver scheme is an adaptive scheme which adapts to estimated CSI and error statistics. The proposed scheme reduces the computational complexity of decoding whilst improving the SER performance over the best decoding scheme (exact ML decoding) without transmitter CSI. In the study of the DWCS, we consider the problem of minimizing transmit power in the downlink scenario. We account for the power used in both channel estimation and data transmission, We formulate the problem and propose solution strategies for both single-user and multi-user cases. We demonstrate that the proposed schemes significantly outperform the baseline scheme of equal power allocation.


Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2012
Issuance monographic
Language English


Associated with Thian, Boon Sim
Associated with Stanford University, Department of Electrical Engineering
Primary advisor Boyd, Stephen P
Primary advisor Goldsmith, Andrea, 1964-
Thesis advisor Boyd, Stephen P
Thesis advisor Goldsmith, Andrea, 1964-
Thesis advisor Katti, Sachin
Thesis advisor Paulraj, Arogyaswami
Advisor Katti, Sachin
Advisor Paulraj, Arogyaswami


Genre Theses

Bibliographic information

Statement of responsibility Boon Sim Thian.
Note Submitted to the Department of Electrical Engineering.
Thesis Thesis (Ph.D.)--Stanford University, 2012.
Location electronic resource

Access conditions

© 2012 by Boon Sim Thian
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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