Novel low-complexity MIMO detection based on constellation shift binary classification

This thesis develops a novel technique for low-complexity MIMO detection known as Constellation Shift Binary Classification (CSBC). The proposed method utilizes the constellation structure to deduce a constellation shift that is used to reduce the problem of detecting the symbol into binary classification. The proposed method is proven to outperform other common techniques such as ZF and LMMSE. The proposed CSBC is a novel MIMO detection technique since it utilizes the constellation structure together with a binary classifier that is based on neural networks.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2018

Author dc:creator

• AlHajri, Mohamed Ibrahim

Advisor dc:contributor.advisor

• Lizhong Zheng.

• Electrical Engineering and Computer Science.

Statement dc:rights

• 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.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/120367

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/120367