Stochastic Geometry Analysis of Receiver Diversity in Cellular Networks with SWIPT

Tu Lam Thanh (1) , Marco Di Renzo (1) , Justin P Coon (2)

1 L2S - Laboratoire des signaux et systèmes
2 Department of Engineering Science

In this paper, we study the feasibility of receiver diversity for application to downlink cellular networks, where low-energy devices are equipped with information decoding and energy harvesting receivers for simultaneous wireless information and power transfer. We study several options that are based on selection combining and maximum ratio combining. Monte Carlo simulations are used to validate our findings and to discuss the trade-offs that emerge in cellular networks with simultaneous wireless information and power transfer.

Domaines: Réseaux et télécommunications [cs.NI]

Tu Lam Thanh, Marco Di Renzo, Justin P Coon. Stochastic Geometry Analysis of Receiver Diversity in Cellular Networks with SWIPT. 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2018), Jun 2018, Kalamata, Greece. ⟨10.1109/SPAWC.2018.8445877⟩. ⟨hal-01880310⟩