Stochastic Geometry Analysis of Receiver Diversity in Cellular Networks with SWIPT

Tu Lam Thanh Marco Di Renzo 1 Justin Coon 2
1 Division Télécoms et Réseaux - L2S
L2S - Laboratoire des signaux et systèmes : 1289
2 Department of Engineering Science
Abstract : 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.
Type de document :
Communication dans un congrès
2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Jun 2018, Kalamata, Greece. IEEE, 〈10.1109/SPAWC.2018.8445877〉
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https://hal.archives-ouvertes.fr/hal-01880310
Contributeur : Frederic Dufaux <>
Soumis le : lundi 24 septembre 2018 - 16:45:20
Dernière modification le : lundi 8 octobre 2018 - 14:45:56

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CENTRALESUPELEC | SUP_LSS | L2S | SUP_TELECOMS | UNIV-PARIS-SACLAY

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

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