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) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2023042839330 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2022
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Publish Date: | 2023-04-28 |
Description: |
AbstractMulti-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. see all
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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 |
OADOI: | https://oadoi.org/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 |
Subjects: | |
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 319059 343586 |
Detailed Information: |
346208 (Academy of Finland Funding decision) 319059 (Academy of Finland Funding decision) 343586 (Academy of Finland Funding decision) |
Copyright information: |
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