On Coding and Decoding Reconfigurable Radiation Pattern Modulation Symbols
AuthorsCelis Sierra, Sebastian
Salama, Khaled N.
KAUST DepartmentComputational Electromagnetics Laboratory
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Electrical and Computer Engineering Program
Physical Science and Engineering (PSE) Division
Permanent link to this recordhttp://hdl.handle.net/10754/667986
MetadataShow full item record
AbstractIn this paper, we propose the theoretical framework for a reconfigurable radiation pattern modulation (RRPM) scheme, which is reminiscent of the index modulation technique. In the proposed scheme, information is encoded using far-field radiation patterns generated by a set of programmable radiating elements. A considerable effort has been invested to allow for high transmission of the reconfigurable radiation pattern symbols; yet, the receiving system has received little attention and has always been considered ideal. Depending on the number of receivers and their respective positions, two variables are considered here for data transmission: the sampling resolution and the fraction of the covered space by the receiving antennas. Hence, we quantitatively investigate their effect on the bit-error-rate (BER) by making use of a limited number of measurements that approximate the behavior of the system under real-field conditions.
CitationCelis, S., Farhat, M., Zhang, L., Bagci, H., Eltawil, A. M., & Salama, K. N. (2021). On Coding and Decoding Reconfigurable Radiation Pattern Modulation Symbols. Electronics, 10(5), 614. doi:10.3390/electronics10050614
SponsorsThe authors are thankful for the technological support of the Computer, Electrical, and Mathematical Science and Engineering (CEMSE) Division of King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
This research received no external funding.
Except where otherwise noted, this item's license is described as This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.