Open AccessOptimal content placement for cache‐enabled IoT networks with local channel state information based joint transmission
Author(s) -
Feng Tianming,
Shi Shuo,
Gu Shushi,
Xiang Wei,
Gu Xuemai
Publication year - 2020
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2020.0167
Subject(s) - computer science , cache , transmission (telecommunications) , enhanced data rates for gsm evolution , channel (broadcasting) , base station , computer network , channel state information , small cell , cloud computing , joint (building) , stochastic geometry , upper and lower bounds , scheme (mathematics) , internet of things , mathematical optimization , wireless , distributed computing , telecommunications , architectural engineering , mathematical analysis , statistics , mathematics , engineering , embedded system , operating system
The large amount of devices deployed for the Internet of Things (IoT) cause a tremendous traffic burden on the cloud server. Caching content at the edge of IoT networks is a promising technology to alleviate the traffic load. However, how to further improve the successful transmission probability (STP) of cache‐enabled IoT networks is still an open issue. In this study, the authors propose a novel local channel state information based joint transmission (LC‐JT) scheme for cache‐enabled IoT networks and design the optimal content placement probability at the cooperative edge base stations, correspondingly. First, they derive an upper bound and a tight approximation for the STP of LC‐JT scheme using stochastic geometry. Next, an algorithm is proposed to maximise the approximation of STP in LC‐JT by optimising the placement probability vector, which is a non‐convex optimisation problem. By utilising some properties of the STP, they obtain the globally optimal solutions in specific cases. Moreover, the locally optimal solutions in general cases are obtained by using the gradient projection method. Finally, numerical results show the optimised content placement strategy can achieve significant gains in STP over several comparative baselines. It verifies that the strategy with LC‐JT can considerably enhance the STP in cache‐enabled IoT networks.