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https://hdl.handle.net/20.500.13091/5235
Title: | On the performance of power-sensing RIS-SM: Effects of improper Gaussian noise and Nakagami-m fading channel | Authors: | Canbilen, A.E. | Keywords: | Improper Gaussian noise Nakagami-m fading channels Reconfigurable intelligent surface (RIS) Space modulation techniques (SMTs) Bit error rate Energy utilization Gaussian distribution Gaussian noise (electronic) Spectrum efficiency Gaussians Improper gaussian noise Modulation techniques Nakagami-m fading channels Performance Power sensing Reconfigurable Reconfigurable intelligent surface Space modulation technique Spatial modulations Fading channels |
Publisher: | Elsevier Inc. | Abstract: | The innovative idea of data transmission through a reconfigurable intelligent surface (RIS) is a promising and exciting solution to the ever-present problems in wireless communications, such as energy consumption and hardware cost. The soft-controlled dynamic shaping of the electro-magnetic waves, which enables utilizing the randomness of the propagation medium to achieve more efficacious wireless channels, makes RIS a key enabler of 6G technology. Lately, space modulation techniques (SMTs) have often been discussed within the realm of the RIS-aided technologies due to their unique transmission characteristics. However, RIS-SMTs require more generalized and in-depth investigations to fully understand their potential in future generations. Accordingly, in this study, a recently proposed RIS-based SMT is generalized to inherently increase the spectral efficiency by utilizing spatial modulation (SM) procedure instead of space shift keying (SSK). The novel system called power-sensing RIS-SM is analyzed in the presence of improper Gaussian noise (IGN) to discover system behavior in the case of being corrupted by an improper interfering signal over Nakagami-m channels, which adapt closely to the most of measured fading channels. The success of the proposed RIS-aided SMT is assessed in terms of the average bit error rate (ABER), which is both calculated by analytical derivations and verified by computer simulations. © 2024 Elsevier Inc. | URI: | https://doi.org/10.1016/j.dsp.2024.104432 https://hdl.handle.net/20.500.13091/5235 |
ISSN: | 1051-2004 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections |
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