RIS-Assisted Hexagonal Receive QSM Technique with Perfect and Imperfect Channel Estimation
| dc.contributor.author | Cogen, Fatih | |
| dc.contributor.author | Ozden, Burak Ahmet | |
| dc.contributor.author | Aydin, Erdogan | |
| dc.date.accessioned | 2025-11-16T19:34:11Z | |
| dc.date.issued | 2024 | |
| dc.department | İstanbul Medeniyet Üniversitesi | |
| dc.description | 6th International Conference on Communications Signal Processing and their Applications -- JUL 08-11, 2024 -- Istanbul, TURKIYE | |
| dc.description.abstract | Nowadays, there is a need for high-performance and energy-efficient communication systems due to the rapid increase in the number of mobile users and the demand for better quality communication due to the development of technology. Reconfigurable intelligent surface (RIS) technology, which reduces the interference effects of the wireless fading channel, and receive quadrature spatial modulation (RQSM) technique, which significantly increases the data rate and system performance compared to conventional communication systems, are important systems that aim to meet the above-mentioned demands and needs. In addition, the application of energy-efficient hexagonal quadrature amplitude modulation (HQAM) techniques on next-generation communication techniques has recently become a popular topic. HQAM optimizes the assignment of codewords to points in a hexagonal constellation diagram to minimize the average Hamming distance, reducing error rates by keeping similar codewords close together. This arrangement is always more energy efficient than conventional QAM modulation and provides similar performances as QAM. In this paper, a scheme called RIS-HQAM-RQSM is proposed by combining the techniques of rational RIS, RQSM, and HQAM. The performance analysis of the proposed system is carried out for different numbers of reflecting surfaces and receiving antennas over Rayleigh fading channels using HQAM modulation. Furthermore, the performance of the proposed system is compared with significant peer systems in the literature, and it is observed that the proposed system achieves better error performance than benchmark systems with the same spectral efficiency. Also, performance analyses of the system in both perfect channel knowledge (PCK) and imperfect channel knowledge (ICK) are obtained. | |
| dc.description.sponsorship | Scientific and Technological Research Council of Turkey (TUBITAK) [5229901 - 6GEN]; TUBITAK 1001 [123E513] | |
| dc.description.sponsorship | This work was supported by The Scientific and Technological Research Council of Turkey (TUBITAK) through the 1515 Frontier Research and Development Laboratories Support Program under Project 5229901 - 6GEN. Lab: 6G and Artificial Intelligence Laboratory. Also, this work was supported by TUBITAK 1001 (Grant Number: 123E513). | |
| dc.description.sponsorship | American University Of Sharjah,Istanbul Medipol Universitesi | |
| dc.identifier.doi | 10.1109/ICCSPA61559.2024.10794292 | |
| dc.identifier.isbn | 979-8-3503-8482-6 | |
| dc.identifier.isbn | 979-8-3503-8481-9 | |
| dc.identifier.issn | 2377-682X | |
| dc.identifier.uri | https://doi.org/10.1109/ICCSPA61559.2024.10794292 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14730/15271 | |
| dc.identifier.wos | WOS:001425412600041 | |
| dc.identifier.wosquality | N/A | |
| dc.indekslendigikaynak | Web of Science | |
| dc.language.iso | en | |
| dc.publisher | Ieee | |
| dc.relation.ispartof | 2024 6th International Conference on Communications, Signal Processing, And Their Applications, Iccspa 2024 | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_WOS_20250302 | |
| dc.subject | Reconfigurable intelligent surface | |
| dc.subject | QAM | |
| dc.subject | hexagonal QAM | |
| dc.subject | spatial modulation | |
| dc.subject | quadrature spatial modulation | |
| dc.title | RIS-Assisted Hexagonal Receive QSM Technique with Perfect and Imperfect Channel Estimation | |
| dc.type | Conference Object |










