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I2ER: Integrated information and energy relaying protocol for RF powered communication network
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering. Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India.ORCID iD: 0000-0002-3225-6495
Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India.
IBM Research Labs, Bangalore, India.
2017 (English)In: IEEE International Conference on Communications, ISSN 1550-3607, E-ISSN 1938-1883, p. 1-646Article in journal (Refereed) Published
Abstract [en]

Performance of RF powered communication network is bottlenecked by short downlink energy transfer range and doubly-near-far problem faced in uplink information transfer to Hybrid Access Point (HAP). Theses problems can be resolved by cooperation of an RF energy harvesting node R present between HAP and RF energy harvesting information source S. However, there lies a dilemma at R on whether to transfer its harvested energy to S or to act as an information relay for transferring its data to HAP in a two-hop fashion. This paper resolves this dilemma of R by proposing a novel integrated information and energy relaying (i2 ER) protocol. It also provides insights on the relay positions suited for either energy relaying (ER), or information relaying (IR), or where neither ER nor IR will be useful. In this regard, while considering Rician fading channels, we derive the expression for mean harvested dc power at S via energy transfer from HAP and ER from R. We also derive the closed-form outage probability expression for decode-and-forward relaying with maximal-ratio-combining at HAP over Rician channels. Finally numerical results validating the analytical results and providing insights on the relaying role (ER and/or IR) of RF harvesting helping node are presented.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 1-646
National Category
Communication Systems Signal Processing Computer and Information Sciences
Identifiers
URN: urn:nbn:se:liu:diva-155749DOI: 10.1109/ICC.2017.7996354OAI: oai:DiVA.org:liu-155749DiVA, id: diva2:1299097
Conference
2017 IEEE International Conference on Communications Workshops (ICC Workshops), 21-25 May 2017, Paris, France. Edit by David Gesbert, Merouane Debbah and Abdelhamid Mellouk
Available from: 2019-03-26 Created: 2019-03-26 Last updated: 2019-03-26Bibliographically approved

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Mishra, Deepak

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