TY - GEN
T1 - Energy coverage in millimeter wave energy harvesting networks
AU - Khan, Talha Ahmed
AU - Alkhateeb, Ahmed
AU - Heath, Robert W.
N1 - Funding Information:
This work was supported in part by the Army Research Office under grant W911NF-14-1-0460, and gifts from Mitsubishi Electric Research Labs, Cambridge and Nokia
Publisher Copyright:
© 2015 IEEE.
PY - 2015
Y1 - 2015
N2 - Wireless energy harvesting in millimeter wave (mmWave) cellular networks is attractive, thanks to the large antenna arrays and the anticipated dense deployment of these systems. The signal propagation at mmWave frequencies, however, shows peculiar propagation characteristics such as extreme sensitivity to building blockages. This work analyzes the energy harvesting performance at receivers powered by a mmWave cellular network. Leveraging tools from stochastic geometry, analytical expressions are derived to characterize the energy coverage probability at a typical receiver in terms of the cellular network density, the antenna geometry parameters, and the channel parameters. Results show that there typically exists an optimum transmit antenna beamwidth that maximizes the network-wide energy coverage probability for many operating scenarios. Simulation results further suggest that mmWave energy harvesting could provide a substantial performance boost compared to lower frequency solutions.
AB - Wireless energy harvesting in millimeter wave (mmWave) cellular networks is attractive, thanks to the large antenna arrays and the anticipated dense deployment of these systems. The signal propagation at mmWave frequencies, however, shows peculiar propagation characteristics such as extreme sensitivity to building blockages. This work analyzes the energy harvesting performance at receivers powered by a mmWave cellular network. Leveraging tools from stochastic geometry, analytical expressions are derived to characterize the energy coverage probability at a typical receiver in terms of the cellular network density, the antenna geometry parameters, and the channel parameters. Results show that there typically exists an optimum transmit antenna beamwidth that maximizes the network-wide energy coverage probability for many operating scenarios. Simulation results further suggest that mmWave energy harvesting could provide a substantial performance boost compared to lower frequency solutions.
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U2 - 10.1109/GLOCOMW.2015.7414219
DO - 10.1109/GLOCOMW.2015.7414219
M3 - Conference contribution
AN - SCOPUS:84971264181
T3 - 2015 IEEE Globecom Workshops, GC Wkshps 2015 - Proceedings
BT - 2015 IEEE Globecom Workshops, GC Wkshps 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE Globecom Workshops, GC Wkshps 2015
Y2 - 6 December 2015 through 10 December 2015
ER -