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01506 am a22001933u 4500 |
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137679.2 |
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|a dc
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|a Malak, Derya
|e author
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|a Massachusetts Institute of Technology. Research Laboratory of Electronics
|e contributor
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|a Medard, Muriel
|e author
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|a Yeh, Edmund M.
|e author
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|a Spatial Soft-Core Caching
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|b Institute of Electrical and Electronics Engineers (IEEE),
|c 2021-11-23T17:15:47Z.
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|z Get fulltext
|u https://hdl.handle.net/1721.1/137679.2
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|a © 2019 IEEE. We propose a decentralized spatial soft-core cache placement (SSCC) policy for wireless networks. SSCC yields a spatially balanced sampling via negative dependence across caches, and can be tuned to satisfy cache size constraints with high probability. Given a desired cache hit probability, we compare the 95% confidence intervals of the required cache sizes for independent placement, hard-core placement and SSCC policies. We demonstrate that in terms of the required cache storage size, SSCC can provide up to more than 180% and 100% gains with respect to the independent and hard-core placement policies, respectively. SSCC can be used to enable proximity-based applications such as device-to-device communications and peer-to-peer networking as it promotes the item diversity and reciprocation among the nodes.
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|a en
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|a Article
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|t 10.1109/ISIT.2019.8849402
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| 773 |
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|t IEEE International Symposium on Information Theory - Proceedings
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