Cognitive and Energy Harvesting-Based D2D Communication in Cellular Networks: Stochastic Geometry Modeling and Analysis
Ahmed Hamdi Sakr, Ekram Hossain

TL;DR
This paper models and analyzes cognitive and energy harvesting-based D2D communication in cellular networks using stochastic geometry, demonstrating that energy harvesting is a reliable alternative and cognitive access improves D2D outage performance.
Contribution
It introduces a stochastic geometry framework for cognitive, energy harvesting D2D communication, analyzing spectrum access policies and outage probabilities in cellular networks.
Findings
Energy harvesting can reliably power D2D transmitters.
Cognitive channel access reduces outage probability for D2D users.
Both spectrum access policies improve D2D performance under outage constraints.
Abstract
While cognitive radio enables spectrum-efficient wireless communication, radio frequency (RF) energy harvesting from ambient interference is an enabler for energy-efficient wireless communication. In this paper, we model and analyze cognitive and energy harvesting-based D2D communication in cellular networks. The cognitive D2D transmitters harvest energy from ambient interference and use one of the channels allocated to cellular users (in uplink or downlink), which is referred to as the D2D channel, to communicate with the corresponding receivers. We investigate two spectrum access policies for cellular communication in the uplink or downlink, namely, random spectrum access (RSA) policy and prioritized spectrum access (PSA) policy. In RSA, any of the available channels including the channel used by the D2D transmitters can be selected randomly for cellular communication, while in PSA…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Energy Harvesting in Wireless Networks · Cognitive Radio Networks and Spectrum Sensing
