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Cognitive and Energy Harvesting-Based D2D Communication in Cellular Networks: Stochastic Geometry Modeling and Analysis (1405.2013v2)

Published 8 May 2014 in cs.NI and math.PR

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 the D2D channel is used only when all of the other channels are occupied. A D2D transmitter can communicate successfully with its receiver only when it harvests enough energy to perform channel inversion toward the receiver, the D2D channel is free, and the $\mathsf{SINR}$ at the receiver is above the required threshold; otherwise, an outage occurs for the D2D communication. We use tools from stochastic geometry to evaluate the performance of the proposed communication system model with general path-loss exponent in terms of outage probability for D2D and cellular users. We show that energy harvesting can be a reliable alternative to power cognitive D2D transmitters while achieving acceptable performance. Under the same $\mathsf{SINR}$ outage requirements as for the non-cognitive case, cognitive channel access improves the outage probability for D2D users for both the spectrum access policies.

Citations (298)

Summary

  • The paper presents a stochastic geometry model that demonstrates the feasibility of using ambient RF interference to power D2D communications.
  • It compares random and prioritized spectrum access policies, revealing that the PSA strategy significantly reduces the outage probability for D2D users.
  • The study shows that uplink channel use in dense networks enhances performance and guides optimal system design for energy efficiency.

Overview of Cognitive and Energy Harvesting-Based D2D Communication in Cellular Networks

This paper explores the confluence of cognitive and energy harvesting-based device-to-device (D2D) communication within the framework of cellular networks. Leveraging stochastic geometry, Ahmed Hamdi Sakr and Ekram Hossain present a robust analytical model highlighting the implications of radio frequency (RF) energy harvesting for energizing D2D transmitters. The proposed model underscores the feasibility of exploiting ambient interference from concurrent cellular transmissions to power D2D communications, thereby enhancing the energy efficiency of wireless communication systems.

The authors consider a multi-channel cellular network setup where D2D transmitters harness RF energy from ambient interference, comprising both macro base stations (BSs) and cellular users' downlink and uplink transmissions. The paper investigates two distinctive spectrum access policies for managing the coexistence of cellular and D2D users: the random spectrum access (RSA) policy and the prioritized spectrum access (PSA) policy. In the RSA model, any available channel, including those used by D2D transmitters, can be assigned to cellular users. Conversely, the PSA strategy reserves the D2D channel exclusively until all other channels are occupied.

A critical aspect of this research is how spectrum access affects the probability of successfully harvesting energy and maintaining an acceptable signal-to-interference-plus-noise ratio (SINR) at receivers. The authors find that the PSA model significantly outperforms the RSA model in terms of decreasing the outage probability for D2D users. Notably, using an uplink channel for D2D communication in dense networks provides enhanced performance compared to using a downlink channel, a conclusion derived from thorough stochastic geometry-based analyses.

The paper's numerical results elucidate the profound impact of key network parameters, such as the density of BSs and users, number of channels, and sensitivity of receivers, on system performance. Furthermore, the authors propose insightful guidelines for system design, emphasizing the importance of optimal configuration for balancing energy harvesting potential and communication reliability.

In conclusion, this paper suggests considerable benefits of integrating cognitive spectrum access and RF energy harvesting into D2D communication solutions within cellular networks. The results project future research directions and developments, underpinning the practical adoption of such energy-efficient technologies in real-world applications. The findings hold promise for extending the operational longevity of wireless devices and augmenting the throughput capacity of cellular networks, thus fortifying the foundation for sustainable mobile communication systems.