TY - GEN
T1 - On Energy Efficiency of Prioritized IoT Systems
AU - Alabbasi, AbdulRahman
AU - Shihada, Basem
AU - Cavdar, Cicek
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: The authors would like to thank Prof. Jamie Evans for his support. This work was partially supported by SooGreen Project.
PY - 2018/1/15
Y1 - 2018/1/15
N2 - The inevitable deployment of 5G and the Internet of Things (IoT) sheds the light on the importance of the energy efficiency (EE) performance of Device-to- Device (DD) communication systems. In this work, we address a potential IoT application, where different prioritized DD system, i.e., Low-Priority (LP) and High-Priority (HP) systems, co-exist and share the spectrum. We maximize the EE of each system by proposing two schemes. The first scheme optimizes the individual transmission power and the spatial density of each system. The second scheme optimizes the transmission power ratio of both systems and the spatial density of each one. We also construct and analytically solve a multi- objective optimization problem that combines and jointly maximizes both HP and LP EE performance. Unique structures of the addressed problems are verified. Via numerical results we show that the system which dominates the overall EE (combined EEs of both HP and LP) is the system corresponding to the lowest power for low/high power ratio (between HP and LP systems). However, if the power ratio is close to one, the dominating EE corresponds to the system with higher weight.
AB - The inevitable deployment of 5G and the Internet of Things (IoT) sheds the light on the importance of the energy efficiency (EE) performance of Device-to- Device (DD) communication systems. In this work, we address a potential IoT application, where different prioritized DD system, i.e., Low-Priority (LP) and High-Priority (HP) systems, co-exist and share the spectrum. We maximize the EE of each system by proposing two schemes. The first scheme optimizes the individual transmission power and the spatial density of each system. The second scheme optimizes the transmission power ratio of both systems and the spatial density of each one. We also construct and analytically solve a multi- objective optimization problem that combines and jointly maximizes both HP and LP EE performance. Unique structures of the addressed problems are verified. Via numerical results we show that the system which dominates the overall EE (combined EEs of both HP and LP) is the system corresponding to the lowest power for low/high power ratio (between HP and LP systems). However, if the power ratio is close to one, the dominating EE corresponds to the system with higher weight.
UR - http://hdl.handle.net/10754/626877
UR - http://ieeexplore.ieee.org/document/8254464/
UR - http://www.scopus.com/inward/record.url?scp=85046356072&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2017.8254464
DO - 10.1109/GLOCOM.2017.8254464
M3 - Conference contribution
SN - 9781509050192
SP - 1
EP - 7
BT - GLOBECOM 2017 - 2017 IEEE Global Communications Conference
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -
