Multicast Beamformer Design for Mimo Coded Caching Systems
Salehi, MohammadJavad; NaseriTehrani, Mohammad; Tölli, Antti (2023-05-05)
IEEE
05.05.2023
M. Salehi, M. NaseriTehrani and A. Tölli, "Multicast Beamformer Design for Mimo Coded Caching Systems," ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10096035.
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© 2023 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.
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202401191356
https://urn.fi/URN:NBN:fi:oulu-202401191356
Tiivistelmä
Abstract
Coded caching (CC) techniques have been shown to be conveniently applicable in multi-input multi-output (MIMO) systems. In a K-user network with spatial multiplexing gains of L at the transmitter and G at every receiver, if each user can cache a fraction γ of the file library, a total number of GKγ+ L data streams can be served in parallel. In this paper, we focus on improving the finite-SNR performance of MIMOCC systems. We first consider a MIMO-CC scheme that relies only on unicasting individual data streams, and then, introduce a decomposition strategy to design a new scheme that delivers the same data streams through multicasting of G parallel codewords. We discuss how optimized beamformers could be designed for each scheme and use numerical simulations to compare their finite-SNR performance. It is shown that while both schemes serve the same number of streams, multicasting provides notable performance improvements. This is because, with multicasting, transmission vectors are built with fewer beamformers, leading to more efficient usage of available power resources.
Coded caching (CC) techniques have been shown to be conveniently applicable in multi-input multi-output (MIMO) systems. In a K-user network with spatial multiplexing gains of L at the transmitter and G at every receiver, if each user can cache a fraction γ of the file library, a total number of GKγ+ L data streams can be served in parallel. In this paper, we focus on improving the finite-SNR performance of MIMOCC systems. We first consider a MIMO-CC scheme that relies only on unicasting individual data streams, and then, introduce a decomposition strategy to design a new scheme that delivers the same data streams through multicasting of G parallel codewords. We discuss how optimized beamformers could be designed for each scheme and use numerical simulations to compare their finite-SNR performance. It is shown that while both schemes serve the same number of streams, multicasting provides notable performance improvements. This is because, with multicasting, transmission vectors are built with fewer beamformers, leading to more efficient usage of available power resources.
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