TY - GEN
T1 - Fundamental Limits of Cloud and Cache-Aided Interference Management with Multi-Antenna Base Stations
AU - Zhang, Jingjing
AU - Simeone, Osvaldo
N1 - Funding Information:
The authors are with the Department of Informatics at King’s College London, UK (emails: jingjing.1.zhang@kcl.ac.uk, osvaldo.simeone@kcl.ac.uk). The authors have received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Programme (Grant Agreement No. 725731).
Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/15
Y1 - 2018/8/15
N2 - In cellular systems, content delivery latency can be minimized by jointly optimizing edge caching, fronthaul transmission from a cloud processor (CP) with access to the content library, and wireless transmission. In this paper, this problem is studied from an information-theoretic viewpoint by making the following practically relevant assumptions: 1) the ENs have multiple antennas; 2) only uncoded fractional caching is allowed; 3) the fronthau llinks are used to send fractions of contents; and 4) the ENs are constrained to use one-shot linear precoding on the wireless channel. Assuming offline caching and focusing on a high signal-to-noise ratio (SNR) latency performance metric, the proposed caching and delivery policy is shown to be either exactly optimal or optimal within a multiplicative factor of 3/2. The results bring insights into the optimal interplay between edge and cloud processing in fog-aided wireless networks as a function of system resources, including the number of antennas at the ENs, the ENs' cache capacity and the fronthaul capacity.
AB - In cellular systems, content delivery latency can be minimized by jointly optimizing edge caching, fronthaul transmission from a cloud processor (CP) with access to the content library, and wireless transmission. In this paper, this problem is studied from an information-theoretic viewpoint by making the following practically relevant assumptions: 1) the ENs have multiple antennas; 2) only uncoded fractional caching is allowed; 3) the fronthau llinks are used to send fractions of contents; and 4) the ENs are constrained to use one-shot linear precoding on the wireless channel. Assuming offline caching and focusing on a high signal-to-noise ratio (SNR) latency performance metric, the proposed caching and delivery policy is shown to be either exactly optimal or optimal within a multiplicative factor of 3/2. The results bring insights into the optimal interplay between edge and cloud processing in fog-aided wireless networks as a function of system resources, including the number of antennas at the ENs, the ENs' cache capacity and the fronthaul capacity.
KW - Cellular system
KW - Cloud
KW - Edge caching
KW - Fog
KW - Interference management
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U2 - 10.1109/ISIT.2018.8437538
DO - 10.1109/ISIT.2018.8437538
M3 - Conference contribution
AN - SCOPUS:85052486629
SN - 9781538647806
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 1425
EP - 1429
BT - 2018 IEEE International Symposium on Information Theory, ISIT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Symposium on Information Theory, ISIT 2018
Y2 - 17 June 2018 through 22 June 2018
ER -