Adaptive Coded Caching for Fair Delivery Over Fading Channels

The performance of existing coded caching schemes is sensitive to the worst channel quality, a problem which is exacerbated when communicating over fading channels. In this paper, we address this limitation in the following manner: in short-term , we allow transmissions to subsets of users with good...

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Bibliographic Details
Published in:IEEE transactions on information theory Vol. 66; no. 7; pp. 4530 - 4546
Main Authors: Destounis, Apostolos, Ghorbel, Asma, Paschos, Georgios S., Kobayashi, Mari
Format: Journal Article
Language:English
Published: New York IEEE 01.07.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Subjects:
Ad hoc networks
Broadcast channel
Caching
Channels
coded caching
Communication
Computer Science
Downlink
Electronic mail
Fading
Fading channels
fairness
Lyapunov optimization
Multicast
Power control
Scheduling
Throughput
Wireless communication
ISSN:0018-9448, 1557-9654
Online Access:Get full text
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Summary:The performance of existing coded caching schemes is sensitive to the worst channel quality, a problem which is exacerbated when communicating over fading channels. In this paper, we address this limitation in the following manner: in short-term , we allow transmissions to subsets of users with good channel quality, avoiding users with fades, while in long-term we ensure fairness among users. Our online scheme combines (i) the classical decentralized coded caching scheme with (ii) joint scheduling and power control for the fading broadcast channel, as well as (iii) congestion control for ensuring the optimal long-term average performance. We prove that our online delivery scheme maximizes the alpha-fair utility among all schemes restricted to decentralized placement. By tuning the value of alpha, the proposed scheme can achieve different operating points on the average delivery rate region and tune performance according to an operator's choice. We demonstrate via simulations that our scheme outperforms two baseline schemes: (a) standard coded caching with multicast transmission, limited by the worst channel user yet exploiting the global caching gain; (b) opportunistic scheduling with unicast transmissions exploiting the fading diversity but limited to local caching gain.
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ISSN:0018-9448
1557-9654
DOI:10.1109/TIT.2020.2998104