title: Achievable Rate Estimation of IEEE 802.11ad Visual Big-Data Uplink Access in Cloud-Enabled Surveillance Applications.
abstract: This paper addresses the computation procedures for estimating the impact of interference in 60 GHz IEEE 802.11ad uplink access in order to construct visual big-data database from randomly deployed surveillance camera sensing devices. The acquired large-scale massive visual information from surveillance camera devices will be used for organizing big-data database, i.e., this estimation is essential for constructing centralized cloud-enabled surveillance database. This performance estimation study captures interference impacts on the target cloud access points from multiple interference components generated by the 60 GHz wireless transmissions from nearby surveillance camera devices to their associated cloud access points. With this uplink interference scenario, the interference impacts on the main wireless transmission from a target surveillance camera device to its associated target cloud access point with a number of settings are measured and estimated under the consideration of 60 GHz radiation characteristics and antenna radiation pattern models.
authors.affiliation: School of Computer Science and Engineering, Chung-Ang University, Seoul 069-74, Republic of Korea.
authors.forename: Joongheon
authors.initials: J
authors.lastname: Kim
authors.affiliation: School of Electrical Engineering, Korea University, Seoul, 136-713, Republic of Korea.
authors.forename: Jong-Kook
authors.initials: JK
authors.lastname: Kim
mesh_terms: D000067917:Cloud Computing; D001330:Electronic Data Processing / Q000379:methods*; D014741:Video Recording / Q000379:methods*