2015 IEEE Global Communications Conference (GLOBECOM) 2015
DOI: 10.1109/glocom.2015.7417432
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Proactive Base Station Selection Based on Human Blockage Prediction Using RGB-D Cameras for mmWave Communications

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Cited by 23 publications
(3 citation statements)
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“…Wireless-link quality is strongly affected by the objects blocking the line of sight between a base station and user terminals as the radio frequency becomes high such as over the SHF band (> 3 GHz). Wireless-link-quality prediction for the millimeter wave (60 GHz) was proposed [9], and the authors used a depth camera to detect signal blocking. We developed prediction technologies for the SHF band by using high-definition (HD) cameras and confirmed that the long-term prediction corresponding to second-order future was achieved using physicalspace information [10].…”
Section: Wireless-link-quality Prediction Using Camera Imagesmentioning
confidence: 99%
“…Wireless-link quality is strongly affected by the objects blocking the line of sight between a base station and user terminals as the radio frequency becomes high such as over the SHF band (> 3 GHz). Wireless-link-quality prediction for the millimeter wave (60 GHz) was proposed [9], and the authors used a depth camera to detect signal blocking. We developed prediction technologies for the SHF band by using high-definition (HD) cameras and confirmed that the long-term prediction corresponding to second-order future was achieved using physicalspace information [10].…”
Section: Wireless-link-quality Prediction Using Camera Imagesmentioning
confidence: 99%
“…With the progressive development of intelligent business, such as intelligent transportation and autonomous driving, abundant types of sensors, including Radar, LIDAR and Depth/RGB cameras, will be mounted on the communications equipment or the infrastructures [3]- [4]. These sensors can be explored to assist many communications tasks, such as beam alignment [5]- [8], channel covariance matrix estimation [9], as well as the prediction for blockage, base station (BS) handover, as well as received power [10]- [11]. Among them, the visual perception by cameras has drawn much attention recently, due to its universality, low cost, and high resolution compared with the Radar and LIDAR.…”
Section: Introductionmentioning
confidence: 99%
“…Naturally, user matching, i.e., identifying the visual user from all the environmental objects, is a critical problem for the visual aided communications. However, the authors of [10]- [11] assume the user is static. The authors of [12] design a vision aided service identification method, and the authors of [13] propose a vision based beam selection method.…”
Section: Introductionmentioning
confidence: 99%