Trusted content delivery in large-scale SIC-enabled wireless networks

2017年7月3日·
Ying Cui
,
Dongdong Jiang
Jeff XING
Jeff XING
,
Jemin Lee
· 0 分钟阅读时长
DOI
摘要
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 …
类型
出版物
In 2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
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Authors
Jeff XING
Authors
Engineer in AI
Jeff XING is an Engineer in AI at AMD. He builds high-performance LLM and multimodal inference systems for agentic AI applications. His broader work spans distributed serving, computer vision, robotics, and image processing, with a focus on turning research ideas into reliable products.
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