You are in:Home/Publications/Symbiotic Ambient Backscatter IoT Transmission over NOMA-Enabled Network

Dr. Ahmed Samir Mohamed Saied :: Publications:

Title:
Symbiotic Ambient Backscatter IoT Transmission over NOMA-Enabled Network
Authors: Mohamed Elsayed; Ahmed Samir; Ahmad A.Aziz El-Banna; Khaled Rabie; Xingwang Li; Basem M. ElHalawany
Year: 2022
Keywords: Internet-of-Things; non-orthogonal multiple access; ambient backscatter communication; symbiotic radio; ergodic capacity; Nakagami-m fading.
Journal: ICC 2022 - IEEE International Conference on Communications
Volume: 21991145
Issue: Not Available
Pages: Not Available
Publisher: IEEE
Local/International: International
Paper Link:
Full paper Ahmed Samir Mohamed Saied_3-ICC_2022_AmBC_EC_NOMA_2.pdf
Supplementary materials Not Available
Abstract:

Non-orthogonal multiple access (NOMA) and ambient backscatter communication (AmBC) play major roles to enhance spectrum efficiency in wireless communication systems. Besides, the AmBC provides good reinforcement for the current trend towards dispensing batteries for battery-free Internet-of-Things (IoT) devices. In this paper, we propose a symbiotic battery-free IoT system, that exploits the downlink transmission of a NOMA multiplexing enabled cellular network, to permit an IoT spectrum-efficient uplink communication. The IoT backscatter device (BD) performs a symbiotic radio (SR) relation with the cellular source to power its communication by intelligently reflecting the received power. We derive a closed-form expression of the ergodic capacity (EC) of the BD transmission and tight approximations of the ECs of the cellular source transmission, where all channels undergo Nakagami-m fading. Additionally, we validate the analytical results obtained using Monte-Carlo simulations. The influences of several system parameters such as power allocation factor, reflection coefficient, and channels’ severity factors have been investigated. Finally, the performance of the proposed system is compared with a benchmark OMA-based system to highlight the achievable performance improvement.

Google ScholarAcdemia.eduResearch GateLinkedinFacebookTwitterGoogle PlusYoutubeWordpressInstagramMendeleyZoteroEvernoteORCIDScopus