Statistical Energy Efficiency Characterization for Wireless Transmission Over Fading Channels

被引：1
|
作者：
Yang, Hong-Chuan [1 ]
Xu, Fang [1 ]
Alouini, Mohamed-Slim [2 ]
机构：
[1] Univ Victoria, Dept Elect & Comp Engn, Victoria, BC V8W 2Y2, Canada
[2] King Abdullah Univ Sci & Technol KAUST, CEMSE Div, Thuwal 23955, Saudi Arabia
来源：
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2020年 / 69卷 / 11期
基金：
加拿大自然科学与工程研究理事会;
关键词：
Fading channels; Energy consumption; Wireless communication; Data communication; Quality of service; Wireless sensor networks; Gain; Internet of Things; wireless communications; energy efficiency; fading channels; adaptive transmission; AREA SPECTRAL EFFICIENCY; GAUSSIAN-NOISE; INTERNET;
D O I：
10.1109/TVT.2020.3020933
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：13947 / 13951
页数：5
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