University of Oulu

M. Salehi, E. Parrinello, S. P. Shariatpanahi, P. Elia and A. Tölli, "Low-Complexity High-Performance Cyclic Caching for Large MISO Systems," in IEEE Transactions on Wireless Communications, vol. 21, no. 5, pp. 3263-3278, May 2022, doi: 10.1109/TWC.2021.3119772

Low-complexity high-performance cyclic caching for large MISO systems

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Author: Salehi, MohammadJavad1; Parrinello, Emanuele2; Shariatpanahi, Seyed Pooya3;
Organizations: 1Center for Wireless Communications (CWC), University of Oulu, 90570 Oulu, Finland
2Communication Systems Department, EURECOM, 06410 Sophia Antipolis, France
3School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran 1439957131, Iran
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.7 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2022082956602
Language: English
Published: Institute of Electrical and Electronics Engineers, 2022
Publish Date: 2022-08-29
Description:

Abstract

Multi-antenna coded caching is known to combine a global caching gain that is proportional to the cumulative cache size found across the network, with an additional spatial multiplexing gain that stems from using multiple transmitting antennas. However, a closer look reveals two severe bottlenecks; the well-known exponential subpacketization bottleneck that dramatically reduces performance when the communicated file sizes are finite, and the considerable optimization complexity of beamforming multicast messages when the SNR is finite. We here present an entirely novel caching scheme, termed cyclic multi-antenna coded caching, whose unique structure allows for the resolution of the above bottlenecks in the crucial regime of many transmit antennas. For this regime, where the multiplexing gain can exceed the coding gain, our new algorithm is the first to achieve the exact one-shot linear optimal DoF with a subpacketization complexity that scales only linearly with the number of users, and the first to benefit from a multicasting structure that allows for exploiting uplink-downlink duality in order to yield optimized beamformers ultra-fast. In the end, our novel solution provides excellent performance for networks with finite SNR, finite file sizes, and many users.

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Series: IEEE transactions on wireless communications
ISSN: 1536-1276
ISSN-E: 1558-2248
ISSN-L: 1536-1276
Volume: 21
Issue: 5
Pages: 3263 - 3278
DOI: 10.1109/twc.2021.3119772
OADOI: https://oadoi.org/10.1109/twc.2021.3119772
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This work was supported in part bythe Academy of Finland under Grant 319059 (Coded Collaborative Cachingfor Wireless Energy Efficiency) and Grant 318927 (6Genesis Flagship) and inpart by the European Research Council (ERC) Project Theoretical Foundationsof Memory Micro-Insertions in Wireless Communications (DUALITY) underGrant 725929.
Academy of Finland Grant Number: 319059
318927
Detailed Information: 319059 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
Copyright information: © The Author(s) 2022. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.
  https://creativecommons.org/licenses/by/4.0/