TY - JOUR
T1 - Statistical Energy Efficiency Characterization for Wireless Transmission over Fading Channels
AU - Yang, Hong-Chuan
AU - Xu, Fang
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work was supported in part by an NSERC Discovery Grant.
PY - 2020
Y1 - 2020
N2 - Future Internet of Things (IoT) applications demand highly energy-efficient wireless transmission solutions. In this article, we characterize the energy efficiency (EE) of wireless transmission over fading channels from individual transmission session perspective. Specifically, we apply a statistical EE metric to analyze and optimize ideal continuous rate adaptation (CRA) and continuous power adaptation (CPA) transmission schemes. The resulting statistical characterization establishes an EE performance limit for data transmissions over fading channels and facilitates a direct tradeoff analysis between maximal achievable EE and instantaneous latency requirement.
AB - Future Internet of Things (IoT) applications demand highly energy-efficient wireless transmission solutions. In this article, we characterize the energy efficiency (EE) of wireless transmission over fading channels from individual transmission session perspective. Specifically, we apply a statistical EE metric to analyze and optimize ideal continuous rate adaptation (CRA) and continuous power adaptation (CPA) transmission schemes. The resulting statistical characterization establishes an EE performance limit for data transmissions over fading channels and facilitates a direct tradeoff analysis between maximal achievable EE and instantaneous latency requirement.
UR - http://hdl.handle.net/10754/665006
UR - https://ieeexplore.ieee.org/document/9184091/
U2 - 10.1109/TVT.2020.3020933
DO - 10.1109/TVT.2020.3020933
M3 - Article
SN - 1939-9359
SP - 1
EP - 1
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
ER -
