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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| Published in: | IEEE journal on selected areas in communications Vol. 36; no. 8; pp. 1692 - 1705 |
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| Main Authors: | , , , |
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New York
IEEE
01.08.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers |
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| ISSN: | 0733-8716, 1558-0008 |
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| Abstract | 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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| AbstractList | 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. |
| Author | Kobayashi, Mari Yang, Sheng Ghorbel, Asma Combes, Richard |
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| Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 Distributed under a Creative Commons Attribution 4.0 International License |
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| Snippet | We consider coded caching over the fading broadcast channel, where the users, equipped with a memory of finite size, experience asymmetric fading statistics.... |
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| SubjectTerms | 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 |
| Title | Utility Optimal Scheduling for Coded Caching in General Topologies |
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