TY - GEN
T1 - Joint Channel and Information Estimation on Symbol Decomposition-Based Secure Point-to-Point Communications
AU - Rajaram, Akashkumar
AU - Borges, David
AU - Montezuma, Paulo
AU - Dinis, Rui
AU - Jayakody, Dushnatha Nalin K.
AU - Beko, Marko
N1 - Funding Information:
info:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEEI-TEL%2F30588%2F2017/PT#
info:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F131093%2F2017/PT#
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04111%2F2020/PT#
Instituto de Telecomunicações (UIDB/EEA/50008/2020).
The research work is developed in part with Universidade Lusòfona/ILIND funding and supported, in part, by the Russian Foundation for Basic Research (RFBR) grant No 19-37-50083\19.
PY - 2020
Y1 - 2020
N2 - Energy efficiency and physical layer security are important features in future wireless communication networks. A secure point to point communication is established by using a symbol decomposition method where higher order modulation symbols are decomposed into bits or smaller symbols as separate components and then transmitted to the receiver through multiple amplifiers on the same channel. One of the main challenges in symbol decomposition is accurate channel knowledge for the case of non-static transmitter and receiver position, which necessitates employing a robust and accurate channel estimation with this technique. To improve the accuracy of the channel estimate, an iterative block decision feedback equalizer (IB-DFE) is used at the receiver for joint channel and information estimation. In this paper, we study the symbol decomposition method along with the channel estimation technique and analyze the performance of the system model by using bit error rate parameter and results showcase the effectiveness of IB-DFE receiver.
AB - Energy efficiency and physical layer security are important features in future wireless communication networks. A secure point to point communication is established by using a symbol decomposition method where higher order modulation symbols are decomposed into bits or smaller symbols as separate components and then transmitted to the receiver through multiple amplifiers on the same channel. One of the main challenges in symbol decomposition is accurate channel knowledge for the case of non-static transmitter and receiver position, which necessitates employing a robust and accurate channel estimation with this technique. To improve the accuracy of the channel estimate, an iterative block decision feedback equalizer (IB-DFE) is used at the receiver for joint channel and information estimation. In this paper, we study the symbol decomposition method along with the channel estimation technique and analyze the performance of the system model by using bit error rate parameter and results showcase the effectiveness of IB-DFE receiver.
KW - Channel estimation
KW - Efficient power amplification
KW - Low complexity detection
UR - http://www.scopus.com/inward/record.url?scp=85084834243&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-45124-0_13
DO - 10.1007/978-3-030-45124-0_13
M3 - Conference contribution
AN - SCOPUS:85084834243
SN - 978-3-030-45123-3
T3 - IFIP Advances in Information and Communication Technology
SP - 137
EP - 146
BT - Technological Innovation for Life Improvement - 11th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2020, Proceedings
A2 - Camarinha-Matos, Luis M.
A2 - Farhadi, Nastaran
A2 - Lopes, Fábio
A2 - Pereira, Helena
PB - Springer
CY - Cham
T2 - 11th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2020
Y2 - 1 July 2020 through 3 July 2020
ER -
