Open this publication in new window or tab >>2019 (English)In: 53rd Asilomar Conference on Signals, Systems, and Computers, Institute of Electrical and Electronics Engineers (IEEE) , 2019, p. 1695-1699Conference paper, Published paper (Refereed)
Abstract [en]
This paper presents an antenna selection and two bit allocation methods for general spatial modulation, all based on channel state information. The proposed antenna selection method maximizes the Euclidean distance between the possible antenna selections in order to decrease the bit error rate. The bit allocation methods aim at determining the neighboring symbols and minimizing the Hamming distance in between them. In some scenarios, we show, through Monte Carlo simulations, that the presented methods have lower computational complexity and perform better than the existing approaches.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2019
Keywords
Antenna Selection, Bit Allocation, Generalised Spatial Modulation, Antennas, Bit error rate, Channel state information, Computer circuits, Hamming distance, Intelligent systems, Monte Carlo methods, Bit allocation method, Bit-allocation strategy, Euclidean distance, Spatial modulations, Modulation
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-274722 (URN)10.1109/IEEECONF44664.2019.9048721 (DOI)000544249200324 ()2-s2.0-85083345263 (Scopus ID)
Conference
53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019, 3-6 November 2019, Pacific Grove, United States
Note
QC 20200629
2020-06-292020-06-292022-06-26Bibliographically approved