Performance Analysis of Multi-user NOMA Wireless-Powered mMTC Networks: A Stochastic Geometry Approach

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 connectivityoriented 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 scalable number of Type-II MTCDs. In the performance analysis of the proposed schemes, we prove that the true distribution of the received power at a Type-II MTCD in the QoM scheme can be approximated by the Singh-Maddala distribution. Exploiting this unique statistical finding, we derive approximate closed-form expressions for the outage probability (OP) and sum-throughput of massive MTC (mMTC) networks.Through numerical results, we show that the proposed schemes provide a considerable sum-throughput gain over conventional mMTC networks.

Energy Efficient Multi-Hop Cluster Based D2d Communication for Catastrophic Area

“…As can be seen in [28], [29], [30], and [31], the main goal of the author is to solve the power issues with respect to D2D energy. This is done by introducing various schemes or setting up network resources.…”

“…The Battery-powered D2D UE or the Internet of things has one of the biggest problems with its battery power: until a power supply is available, the devices can't communicate with each other. For resolving that issue, a fast way to energy harvesting was proposed [28]. for data transmission, the author proposed a method for harvesting energy from the cellular origin for primary device-to-device communication in node the different parameters of devices, energy harvesting, meddling management, and transmission introduced two policies, the first of which required that d2d UE residual energy mustn"t be less than the transmission power that is required to communicate with other devices.…”

“…When the distance between two D2D nodes is reduced, the harvesting time is reduced, but the transmission time is increased [28] When a relay is selected, an algorithm is used to determine the optimal EE solution. In addition, the EE of D2D which is proposed in this paper is much higher than the other scheme…”