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Title: A comparative study for downlink multi-user MIMO systems
Other Titles: Çok kullanicili çok antenli aşa?i gönderim sistemleri için bir karşilaştirma çalişmasi
Authors: Yalçınduran, C.
Turgut, A.M.Y.
Keywords: Generalized power iteration precoding (GPIP)
Minimum mean square error precoding (MMSE)
Multi-user multiple input multiple output systems (MU-MIMO)
Semi-orthogonal user selection zero forcing precoding (SUS-ZF)
Iterative methods
Mean square error
MIMO systems
Mobile telecommunication systems
Multiplexing equipment
Signal receivers
Achievable sum rates
Comparative studies
Inter-user interference
Lower complexity
Minimum mean square errors
MU-MIMO systems
Multi input multi output systems
Multi-user MIMO systems
Signal processing
Issue Date: 2021
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: In this paper, precoding methods used in downlink multi-user, multi-input multi-output systems (downlink MU-MIMO) are investigated. Precoding methods provide inter-user interference management and are designed to maximize the achievable sum rate. Downlink MU-MIMO systems can be underloaded, critically loaded or overloaded depending on the number of antennas at the base station and users and the number of users. This study provides a comparison between the generalized power iteration precoding (GPIP) (which is newly proposed in the literature) with the minimum mean square error precoding (MMSE). It is observed that the GPIP method results in similar or worse sum rate performance than the MMSE method in all load cases. Moreover, the MMSE method has lower complexity. © 2021 IEEE.
Description: 29th IEEE Conference on Signal Processing and Communications Applications, SIU 2021 -- 9 June 2021 through 11 June 2021 -- 170536
ISBN: 9781665436496
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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