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Complexity reduction in multicast beamforming for D2D assisted coded caching

Mahmoodi, Hamidreza Bakhshzad; Kaleva, Jarkko; Tölli, Antti (2019-10-21)

 
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https://doi.org/10.1109/iswcs.2019.8877367

Mahmoodi, Hamidreza Bakhshzad
Kaleva, Jarkko
Tölli, Antti
Institute of Electrical and Electronics Engineers
21.10.2019

Mahmoodi, H. B., Kaleva, J., & Tolli, A. (2019). Complexity Reduction in Multicast Beamforming for D2D Assisted Coded Caching. 2019 16th International Symposium on Wireless Communication Systems (ISWCS). Presented at the 2019 16th International Symposium on Wireless Communication Systems (ISWCS). https://doi.org/10.1109/iswcs.2019.8877367

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© 2019 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.
https://rightsstatements.org/vocab/InC/1.0/
doi:https://doi.org/10.1109/ISWCS.2019.8877367
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Abstract

A novel D2D aided beamforming scheme is proposed, where the local cache content exchange among nearby users is exploited. The transmission phase is split into two sub-phases: local D2D content exchange and downlink transmission. In the D2D sub-phase, users can autonomously share content with the adjacent users. In the downlink sub-phase, the Base station (BS) simultaneously serves some number of users to fulfill their remaining content requests by utilizing multicast beamforming. We first explain the main procedure via two simple examples and show the complexity involved in beamformer design. Then, we present the general formulation and detailed complexity analysis. We show analytically that, by exploiting the D2D exchange, the complexity of downlink multicast beamformer design can be greatly decreased. This provides significantly enhanced overall content delivery performance in terms of computational complexity and total delivery time.

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