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Ergodic Spectrum Management

delete2020-03-01
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OA
AI
J
J.M. Cioffi *
C
Chan-Soo Hwang
K
Kenneth J. Kerpez
DOI:10.1109/TCOMM.2019.2958321delete
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Abstract

Abstract

En 中文
Ergodic Spectrum Management (ESM)'s basic features are introduced as a cloud-based management of wireless connectivity that targets improvement of internet-user's quality of experience. Ergodic Spectrum Management (or ESM) learns and exploits near-ergodicity, or time-consistency, to improve a communication-link connection's stable and efficient use in time, space, and frequency; while using consumer quality of experience as the target metric. ESM methods can also improve existing radio resource management, particularly advancing unlicensed spectrum-use efficiency to levels at or exceeding those associated with licensed spectra, as shown herein. ESM's use of learned probability distributions' dimensional (time, space, and frequency) consistencies enables latency-insensitive remote-cloud-based resource management to be applied to wireless multi-user transmission. ESM methods are developed for 3 increasingly more effective stages that correspondingly increasingly rely on data collection and functional-profile (policy) guidance of physical-layer design choices. ESM application to either and both of existing and future unlicensed- and licensed-spectra networks is suggested as a means to improve overall wireless performance. Examples and field data are provided to show the potential of very large improvements in wireless system connectivity, throughput, and quality of experience.
Keywords:
Signal to noise ratio
IEC Standards
Licenses
Electromagnetic interference
IEC
Wireless LAN
5G mobile communication
software radio management
modulation multiplexing
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Journal

IEEE Transactions on Communications cover
IEEE Transactions on Communications
IF:
8.3
Papers:
1.2W
Citations:
3.6W

Organization

S
Stanford University
Scholars:
9.6W
Papers: 8.2W
Citations: 17.0W