A cache-aided K-user Gaussian broadcast channel (BC) is considered. The transmitter has a library of N equal-rate files, from which each user demands one. The impact of the equal-capacity receiver cache memories on the minimum required transmit power to satisfy all user demands is studied. Decentralized caching with uniformly random demands is considered, and both the minimum average power (averaged over all demand combinations) and the minimum peak power (minimum power required to satisfy the worst-case demand combination) are studied. Upper and lower bounds are presented on the minimum required average and peak transmit power as a function of the cache capacity, assuming uncoded cache placement. The gaps between the upper and lower bounds on both the minimum peak and average power values are shown to be relatively small through numerical results, particularly for large cache capacities.

Decentralized caching and coded delivery over Gaussian broadcast channels / Mohammadi Amiri, M.; Gunduz, D.. - (2017), pp. 2785-2789. (Intervento presentato al convegno 2017 IEEE International Symposium on Information Theory, ISIT 2017 tenutosi a deu nel 2017) [10.1109/ISIT.2017.8007037].

Decentralized caching and coded delivery over Gaussian broadcast channels

D. Gunduz
2017

Abstract

A cache-aided K-user Gaussian broadcast channel (BC) is considered. The transmitter has a library of N equal-rate files, from which each user demands one. The impact of the equal-capacity receiver cache memories on the minimum required transmit power to satisfy all user demands is studied. Decentralized caching with uniformly random demands is considered, and both the minimum average power (averaged over all demand combinations) and the minimum peak power (minimum power required to satisfy the worst-case demand combination) are studied. Upper and lower bounds are presented on the minimum required average and peak transmit power as a function of the cache capacity, assuming uncoded cache placement. The gaps between the upper and lower bounds on both the minimum peak and average power values are shown to be relatively small through numerical results, particularly for large cache capacities.
2017
2017 IEEE International Symposium on Information Theory, ISIT 2017
deu
2017
2785
2789
Mohammadi Amiri, M.; Gunduz, D.
Decentralized caching and coded delivery over Gaussian broadcast channels / Mohammadi Amiri, M.; Gunduz, D.. - (2017), pp. 2785-2789. (Intervento presentato al convegno 2017 IEEE International Symposium on Information Theory, ISIT 2017 tenutosi a deu nel 2017) [10.1109/ISIT.2017.8007037].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1202649
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