Rf energy harvesting and transfer for spectrum sharing cellular iot communications in 5g systems

Name: Rf energy harvesting and transfer for spectrum sharing cellular iot communications in 5g systems
Author: Ercan, Ali Özer, Sunay, M. O., Akyildiz, I. F.

İsim	Rf energy harvesting and transfer for spectrum sharing cellular iot communications in 5g systems
Yazar	Ercan, Ali Özer, Sunay, M. O., Akyildiz, I. F.
Basım Tarihi:	2018-07-01
Basım Yeri	- IEEE
Konu	Cellular IoT, 5G Systems, Energy Harvesting Systems, Energy Transferring Systems
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1536-1233
Kayıt Numarası	24697014-ab6a-4651-a6f0-3d315cf87371
Lokasyon	Electrical & Electronics Engineering
Tarih	2018-07-01
Notlar	TÜBİTAK ; Argela of Argela 5G Center of Excellence Collaborations Program
Örnek Metin	This paper proposes an energy and spectrum efficient IoT network for 5G systems where spectrum is shared with the cellular system for spectrum efficiency and energy harvesting and energy transfer are utilized for energy efficiency. The IoT network, which consists of sensor nodes and a cluster head with a reliable energy source, reuses part of the cellular band whenever the cellular network does not utilize it. The cluster head performs spectrum sensing, random scheduling of the sensor nodes, and schedules some idle time for energy transfer. The sensor nodes harvest RF energy from the cellular traffic and the transferred energy from the cluster head. Provided the sensor nodes have sufficient energy, they transmit collected sensory data when scheduled. The inter-play between the cellular and IoT network introduces trade-offs between the spectrum availability, energy availability, information and energy transfer. This paper shows that for the same cellular traffic level, as the number of sensor nodes in the network increases, the IoT network utilization increases resulting in a multi-user gain thanks to the broadcast nature of the energy transfer. The results offer insights into different operational regimes and exposes what type of IoT applications may be feasible with such networks.
DOI	10.1109/TMC.2017.2740378
Cilt	17

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Rf energy harvesting and transfer for spectrum sharing cellular iot communications in 5g systems

Yazar Ercan, Ali Özer, Sunay, M. O., Akyildiz, I. F.

Basım Tarihi 2018-07-01

Basım Yeri - IEEE

Konu Cellular IoT, 5G Systems, Energy Harvesting Systems, Energy Transferring Systems

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1536-1233

Kayıt Numarası 24697014-ab6a-4651-a6f0-3d315cf87371

Lokasyon Electrical & Electronics Engineering

Tarih 2018-07-01

Notlar TÜBİTAK ; Argela of Argela 5G Center of Excellence Collaborations Program

Örnek Metin This paper proposes an energy and spectrum efficient IoT network for 5G systems where spectrum is shared with the cellular system for spectrum efficiency and energy harvesting and energy transfer are utilized for energy efficiency. The IoT network, which consists of sensor nodes and a cluster head with a reliable energy source, reuses part of the cellular band whenever the cellular network does not utilize it. The cluster head performs spectrum sensing, random scheduling of the sensor nodes, and schedules some idle time for energy transfer. The sensor nodes harvest RF energy from the cellular traffic and the transferred energy from the cluster head. Provided the sensor nodes have sufficient energy, they transmit collected sensory data when scheduled. The inter-play between the cellular and IoT network introduces trade-offs between the spectrum availability, energy availability, information and energy transfer. This paper shows that for the same cellular traffic level, as the number of sensor nodes in the network increases, the IoT network utilization increases resulting in a multi-user gain thanks to the broadcast nature of the energy transfer. The results offer insights into different operational regimes and exposes what type of IoT applications may be feasible with such networks.

DOI 10.1109/TMC.2017.2740378

Cilt 17