Spectrum Knowledge and Real-Time Observing Enabled Smart Spectrum Management

Jianzhao Zhang,Yongxiang Liu,Yong Chen,Hao Wu

doi:10.1109/access.2020.2978005

Jianzhao Zhang, Yongxiang Liu + Show 2 more

Open Access

https://doi.org/10.1109/access.2020.2978005

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Abstract

Spectrum is the indispensable resource for 5G wireless systems and beyond. The dynamic spectrum management (DSM) framework with spectrum sharing among different kinds of users is essential to satisfy the sustainable rapid increase of the bandwidth requirement. Based on the analysis of the DSM as well as the latent applications of the machine learning and artificial intelligence (AI) in the spectrum access, this paper will address the problem of incorporating intelligence into the spectrum management. Firstly, the spectrum opportunity (SOP) related information is layered into the spectrum data, the spectrum information and the spectrum knowledge based on the processing and abstractive level. The spectrum knowledge is formally defined as the extendible and scalable information to reason and predict the SOP usability as well as the outcome of the SOP occupancy. Then the smart spectrum model (SSM) is proposed with the spectrum knowledge as the key enabler and the coupled SOP exploration and exploitation as the core feature. Under the SSM framework, the spectrum knowledge and real-time observing (SKRO) enabled SOP exploration scheme is designed, which can make use of both the historical information and the real-time sensing information for smart SOP exploration. Extensive simulations are provided which demonstrate that the SKRO enabled SSM can achieve much better SOP utilization while satisfying the required legacy assurance. Specifically, in the low signal to noise environment, at least 16.55% gains on the SOP utilization ratio can be obtained compared with the DSM.

Highlights

For its indispensability in various domains for economic, social, cultural, and scientific purpose, the electromagnetic spectrum has been regarded as a catalyst for economic development [1]
DEFINITION OF smart spectrum model (SSM) Definition 1 Smart Spectrum Management: The spectrum knowledge (SK) enabled resource management model which constructs SK and optimizes resource management through intelligent learning and decision based on both the historical spectrum related information and the real-time observing of the spectrum environment
spectrum knowledge and real-time observing (SKRO) BASED spectrum opportunity (SOP) EXPLORATION The most distinctive features of the SSM is the SOP exploring based on both the historical spectrum information and the real-time observing of the spectrum environment

Summary

INTRODUCTION

For its indispensability in various domains for economic, social, cultural, and scientific purpose, the electromagnetic spectrum has been regarded as a catalyst for economic development [1]. Being more general than existing intelligence in the SOP exploration approaches, the SK can be the spectrum prediction models, trained neural network, and be the relations of SOP usability and utilization efficiency in multiple domains, which are flexible, extensible and customizable. A novel SSM model, with the SK as the key enabler and the coupled SOP exploration and exploitation as the core feature, is proposed and its difference with the current static allocation scheme and the DSM framework is analyzed. DEFINITION OF SSM Definition 1 Smart Spectrum Management: The SK enabled resource management model which constructs SK and optimizes resource management through intelligent learning and decision based on both the historical spectrum related information and the real-time observing of the spectrum environment.

SKRO BASED SOP EXPLORATION

MATCHING RATIO OF THE SK

ENERGY DETECTION WITH OPTIMAL SENSING TIME

RESULTS AND ANALYSIS

Findings

CONCLUSION