Utility Optimal Scheduling for Coded Caching in General Topologies

We consider coded caching over the fading broadcast channel, where the users, equipped with a memory of finite size, experience asymmetric fading statistics. It is known that a naive application of coded caching over the channel at hand performs poorly especially in the regime of a large number of u...

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Vydáno v:IEEE journal on selected areas in communications Ročník 36; číslo 8; s. 1692 - 1705
Hlavní autoři: Combes, Richard, Ghorbel, Asma, Kobayashi, Mari, Yang, Sheng
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.08.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Témata:
Caching
Channel state information
Communication channels
Complexity theory
Computer Science
Convergence
Fading
Fading channels
Feedback
Multicast
Optimal scheduling
Scheduling
Signal to noise ratio
Wireless networks
ISSN:0733-8716, 1558-0008
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Shrnutí:We consider coded caching over the fading broadcast channel, where the users, equipped with a memory of finite size, experience asymmetric fading statistics. It is known that a naive application of coded caching over the channel at hand performs poorly especially in the regime of a large number of users due to a vanishing multicast rate. We overcome this detrimental effect by a careful design of opportunistic scheduling policies such that some utility function of the long-term average rates should be maximized while balancing fairness among users. In particular, we propose a threshold-based scheduling that requires only statistical channel state information and one-bit feedback from each user. More specifically, each user indicates via feedback whenever its SNR is above a threshold determined solely by the fading statistics and the fairness requirement. Surprisingly, we prove that this simple scheme achieves the optimal utility in the regime of a large number of users. Numerical examples show that our proposed scheme performs closely to the scheduling with full channel state information, but at a significantly reduced complexity.
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ISSN:0733-8716
1558-0008
DOI:10.1109/JSAC.2018.2844622