Caching and coded delivery over Gaussian broadcast channels for energy efficiency
File(s)MAG_JSAC18.pdf (592.74 KB)
Accepted version
Author(s)
Mohammadi Amiri, mohammad
Gunduz, D
Type
Journal Article
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.
Considering uniformly random demands across the library,
both the minimum average power (averaged over all demand
combinations) and the minimum peak power (minimum power
required to satisfy all demand combinations) are studied. Upper
bounds are presented on the minimum required average and peak
transmit power as a function of the cache capacity considering
both
centralized
and
decentralized
caching. The lower bounds on
the minimum required average and peak power values are also
derived assuming uncoded cache placement. The bounds for both
the peak and average power values are shown to be tight in the
centralized scenario through numerical simulations. The results
in this paper show that proactive caching and coded delivery can
provide significant energy savings in wireless networks.
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.
Considering uniformly random demands across the library,
both the minimum average power (averaged over all demand
combinations) and the minimum peak power (minimum power
required to satisfy all demand combinations) are studied. Upper
bounds are presented on the minimum required average and peak
transmit power as a function of the cache capacity considering
both
centralized
and
decentralized
caching. The lower bounds on
the minimum required average and peak power values are also
derived assuming uncoded cache placement. The bounds for both
the peak and average power values are shown to be tight in the
centralized scenario through numerical simulations. The results
in this paper show that proactive caching and coded delivery can
provide significant energy savings in wireless networks.
Date Issued
2018-08
Date Acceptance
2018-04-18
Citation
IEEE Journal on Selected Areas in Communications, 2018, 36 (8), pp.1706-1720
ISSN
0733-8716
Publisher
Institute of Electrical and Electronics Engineers
Start Page
1706
End Page
1720
Journal / Book Title
IEEE Journal on Selected Areas in Communications
Volume
36
Issue
8
Copyright Statement
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Commission of the European Communities
Identifier
https://ieeexplore.ieee.org/document/8374062
Grant Number
677854
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Telecommunications
Engineering
Gaussian broadcast channel
centralized caching
decentralized caching
joint cache-channel coding
Networking & Telecommunications
0906 Electrical and Electronic Engineering
1005 Communications Technologies
0805 Distributed Computing
Publication Status
Published
Date Publish Online
2018-06-06