University of Oulu

M. Salehi and A. Tölli, "Multi-antenna Coded Caching at Finite-SNR: Breaking Down the Gain Structure," 2022 56th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2022, pp. 703-708, doi: 10.1109/IEEECONF56349.2022.10052083

Multi-antenna coded caching at finite-SNR : breaking down the gain structure

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Author: Saleh, MohammadJavad1; Tölli, Antti1
Organizations: 1Centre for Wireless Communications, University of Oulu, 90570 Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2022
Publish Date: 2023-04-28


Multi-antenna coded caching (CC) techniques are considered viable options for achieving higher data rates in future networks, especially for the prominent use case of multimedia-driven applications. However, despite their information-theoretic analyses, which are thoroughly studied in the literature, the research on the finite-SNR performance of multi-antenna CC techniques is not yet mature. In this paper, we try bridging this gap by breaking down, categorizing, and studying the effect of six crucial parameters affecting the finite-SNR performance of multi-antenna CC schemes. We also investigate the interaction of different parameters and clarify how they could affect the implementation complexity in terms of the necessary computation and subpacketization. Theoretical discussions are followed and verified by numerical analysis.

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Series: Asilomar Conference on on Signals, Systems & Computers
ISSN: 2576-2303
ISSN-L: 2576-2303
ISBN: 978-1-6654-5906-8
ISBN Print: 978-1-6654-5907-5
Volume: 2022-October
Pages: 703 - 708
DOI: 10.1109/IEEECONF56349.2022.10052083
Host publication: 2022 56th Asilomar Conference on Signals, Systems, and Computers
Conference: Asilomar Conference on Signals, Systems, and Computers
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work is supported by the Academy of Finland under grants no. 346208 (6G Flagship), 319059 (CCCWEE), and 343586 (CAMAIDE), and by the Finnish Research Impact Foundation under the project 3D-WIDE.
Academy of Finland Grant Number: 346208
Detailed Information: 346208 (Academy of Finland Funding decision)
319059 (Academy of Finland Funding decision)
343586 (Academy of Finland Funding decision)
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