Dissertation/Thesis Abstract

Subcarrier Allocation for Antenna-Index Detection in Multi-Polarized Spatial Modulation-OFDM Systems
by Gutierrez, Lucas Alekzandr, M.S., California State University, Long Beach, 2020, 52; 28028901
Abstract (Summary)

Driven toward advances in wireless communications, energy efficient systems, in the spirit of a green energy future, must be considered. Targeting concepts of next generation wireless technology standards ā€“ like that of 3GPPā€™s upcoming 6G ā€“ optimizations to an energy efficient digital communication system were proposed.

With the novel spatial modulation scheme, advancements in technology and addition of polarization domain were suggested to improve detection error rate. Incorporating multi-polarized antenna elements, the measurement of cross-polarization discrimination was possible. This measurement was proposed as a feature to enhance spatial awareness within the wireless environment, improving accuracy of antenna-index detection at the receiver. Extending orthogonal frequency division multiplexing capabilities to spatial modulation, algorithms were proposed for subcarrier allocation considering the cross-polarization discrimination feature. This algorithm, and baseline of randomly selected subcarriers, were tested within a simulated fixed-to-mobile channel. Results confirm improvements to antenna-index detection as compared to the baseline, providing lower symbol error rates.

Indexing (document details)
Advisor: Kwon, Seok-Chul
Commitee: Yeh, Hen-Geul, Mozumdar, Mohammad
School: California State University, Long Beach
Department: Electrical Engineering
School Location: United States -- California
Source: MAI 82/6(E), Masters Abstracts International
Subjects: Electrical engineering, Technical Communication, Information Technology, Remote sensing, Alternative Energy
Keywords: Subcarrier allocation, Antenna-index detection, Multi-polarized systems, Spatial modulation systems, Wireless communication, Energy efficient systems, Green energy, Next-generation technology, Digital communication system, Lower symbol error rates
Publication Number: 28028901
ISBN: 9798698594611
Copyright © 2021 ProQuest LLC. All rights reserved. Terms and Conditions Privacy Policy Cookie Policy