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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