Trusted content delivery in large-scale SIC-enabled wireless networks
July 3, 2017·,
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1 min read
Ying Cui
Dongdong Jiang
Jeff XING
Jemin Lee
Abstract
In this paper, we consider trusted content delivery in a large-scale SIC-enabled wireless network in the presence of trust degree information. The trust degree of a node quantifies a degree of its trustworthiness, and we model the network with multiple tiers based on the trust degrees of nodes. To improve the successful receive probability of an authentic file, we adopt a simple but effective serving node selection rule based on maximum long-term biased-received-power (BRP), and a decoding method based on successive interference cancellation (SIC). First, by utilizing tools from stochastic geometry, we derive a tractable expression and a closed-form expression for the successful receive probability, in the general and small (file transmission) rate regimes, respectively. The analytical results indicate that the advantage of SIC in the general rate regime increases with the number of interferers that can be cancelled …
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Publication
In 2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
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Senior Computer Vision Algorithm Engineer
Jeff XING is a Senior Computer Vision Algorithm Engineer. His work focuses on ISP/AIISP, 3D Vision (depth sensing, calibration, and reconstruction), 3A technolgy, vLLMs. His works covers vision part in many products in consumer electronic devices, autonomous, AMR.
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