Abstract
Machine to machine (M2M) communication is the enabling technology for Internet of Things (IoT) networks. This paper investigates the throughput performance of a Cognitive IoT network where a cluster of energy harvesting (EH) machine type communication (MTC) devices communicates with an eNodeB base station, while sharing spectrum of a primary network in an underlay mode. Successful decoding probability of MTC devices at eNodeB using RACH (Random Access Channel) and retransmission is evaluated in presence of primary interference while MTC devices harvest energy from RF signal of power transfer units (PTUs). The impact of energy harvesting, number of MTC devices, power transmitted by PTUs, primary interference and interference constraint at primary receiver due to underlay operation on throughput and successful decoding probability at eNodeB is evaluated. MATLAB based simulations are carried out following our analytical formulations. Analytical expressions of throughput and successful decoding probability are derived capturing various network parameters related to energy harvesting and underlay cognitive radio network.
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