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Communication Dans Un Congrès Année : 2023

A Comparative Analysis of MU-NOMA IRS-and Relay-Assisted Symbiotic Radio IoT Networks

Résumé

This work analyzes the energy-efficiency (EE) performance of two types of energy harvesting secondary networks (SN) in a symbiotic radio network (SRN) relationship with a multi-user non-orthogonal multi-access primary network. The first SN type comprises of a multiple secondary transmitters semi-passive (i.e., equipped with sensing capabilities) intelligent reflective surface using backscatter technology to communicate with a secondary receiver. While the second SN type consists of multiple multi-antenna decode-and-forward relaying sensors communicating with an SRN. Closed-form expressions are derived for the achievable EE, which correlate exactly with Monte Carlo simulations. In addition, the IRS-enabled SRN shows higher EE compared to the relay-enabled SRN due to lower power consumption and higher reflective surface spatial diversity
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Dates et versions

hal-04599930 , version 1 (04-06-2024)

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Derek Kwaku Pobi Asiedu, Samuel Kwamena, Prince Anokye, Mustapha Benjillali, Kyoung-Jae Lee, et al.. A Comparative Analysis of MU-NOMA IRS-and Relay-Assisted Symbiotic Radio IoT Networks. GC Wkshps 2023: IEEE Globecom Workshops, Dec 2023, Kuala Lumpur, Malaysia. ⟨10.1109/GCWkshps58843.2023.10464425⟩. ⟨hal-04599930⟩
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