Cellular-Base-Station Assisted Device-to-Device Communications in TV White Space
Guoru Ding, Jinlong Wang, Qihui Wu, Yu-Dong Yao, Fei Song, and, Theodoros A. Tsiftsis

TL;DR
This paper introduces a novel system leveraging TV white space and cellular infrastructure to enable device-to-device communications, using crowd sensing, matrix completion, and machine learning for interference management and spectrum reuse.
Contribution
It proposes a comprehensive approach combining crowd sensing, matrix completion, and SVM-based boundary detection to facilitate D2D in TVWS within DTV protection regions.
Findings
Successfully enables D2D communications in TVWS.
Maintains interference constraints for licensed DTV services.
First exploration of TVWS inside shadowed DTV regions.
Abstract
This paper presents a systematic approach to exploit TV white space (TVWS) for device-to-device (D2D) communications with the aid of the existing cellular infrastructure. The goal is to build a location-specific TVWS database, which provides a look-up table service for any D2D link to determine its maximum permitted emission power (MPEP) in an unlicensed digital TV (DTV) band. To achieve this goal, the idea of mobile crowd sensing is firstly introduced to collect active spectrum measurements from massive personal mobile devices. Considering the incompleteness of crowd measurements, we formulate the problem of unknown measurements recovery as a matrix completion problem and apply a powerful fixed point continuation algorithm to reconstruct the unknown elements from the known elements. By joint exploitation of the big spectrum data in its vicinity, each cellular base station further…
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