Performance Analysis of Multi-user NOMA Wireless-Powered mMTC Networks: A Stochastic Geometry Approach
Thanh-Luan Nguyen, Tri Nhu Do, Georges Kaddoum

TL;DR
This paper analyzes multi-user NOMA wireless-powered mMTC networks using stochastic geometry, proposing two schemes that improve connectivity, scalability, and energy efficiency, with derived outage probability and throughput expressions.
Contribution
It introduces two novel transmission schemes for MTC networks incorporating stochastic geometry and SWIPT, with analytical outage and throughput results.
Findings
Proposed schemes outperform conventional mMTC in sum-throughput.
Received power distribution approximated by Singh-Maddala distribution.
Analytical expressions for outage probability and throughput derived.
Abstract
In this paper, we aim to improve the connectivity, scalability, and energy efficiency of machine-type communication (MTC) networks with different types of MTC devices (MTCDs), namely Type-I and Type-II MTCDs, which have different communication purposes. To this end, we propose two transmission schemes called connectivity-oriented machine-type communication (CoM) and quality-oriented machine-type communication (QoM), which take into account the stochastic geometry-based deployment and the random active/inactive status of MTCDs. Specifically, in the proposed schemes, the active Type-I MTCDs operate using a novel Bernoulli random process-based simultaneous wireless information and power transfer (SWIPT) architecture. Next, utilizing multi-user power-domain non-orthogonal multiple access (PD-NOMA), each active Type-I MTCD can simultaneously communicate with another Type-I MTCD and a…
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Taxonomy
TopicsEnergy Harvesting in Wireless Networks · Advanced Wireless Communication Technologies · IoT Networks and Protocols
