Results 61 to 70 of about 20,641 (239)

Achievable Rate Optimization for Aerial Intelligent Reflecting Surface-Aided Cell-Free Massive MIMO System

open access: yesIEEE Access, 2021
The intelligent reflecting surface (IRS) is considered a core technology of next-generation mobile communication. It has significant advantages in enhancing network coverage, spectrum efficiency, energy efficiency, and deployment cost.
Tao Zhou   +4 more
doaj   +1 more source

Adaptive Hybrid Precoding Strategy for Cell-Free Massive MIMO [PDF]

open access: yesJournal of Microwaves, Optoelectronics and Electromagnetic Applications, 2023
This work presents an adaptive hybrid signal precoding strategy for Cell-Free (CF) Massive multiple-input multiple-output (MIMO) systems. The proposed solution exploits the advantages of both distributed and centralized signal processing schemes to ...
Dercio M. Mathe   +7 more
doaj   +1 more source

How Much Do Downlink Pilots Improve Cell-Free Massive MIMO? [PDF]

open access: yes, 2016
In this paper, we analyze the benefits of including downlink pilots in a cell-free massive MIMO system. We derive an approximate per-user achievable downlink rate for conjugate beamforming processing, which takes into account both uplink and downlink ...
Frenger, Pål   +3 more
core   +2 more sources

Local Partial Zero-Forcing Precoding for Cell-Free Massive MIMO [PDF]

open access: yesIEEE Transactions on Wireless Communications, 2019
Cell-free Massive MIMO (multiple-input multiple-output) is a promising distributed network architecture for 5G-and-beyond systems. It guarantees ubiquitous coverage at high spectral efficiency (SE) by leveraging signal co-processing at multiple access ...
Giovanni Interdonato   +3 more
semanticscholar   +1 more source

Power minimization for GSIC-based uplink cell-free massive MIMO-NOMA systems

open access: yesEURASIP Journal on Advances in Signal Processing, 2022
Non-orthogonal multiple access (NOMA) and multiple-input multiple-output (MIMO) are considered promising techniques to satisfy the demands for high spectrum efficiency and massive connectivity in future wireless communication.
Tao Cui   +3 more
doaj   +1 more source

Performance of Cell-Free Massive MIMO With Rician Fading and Phase Shifts [PDF]

open access: yesIEEE Transactions on Wireless Communications, 2019
In this paper, we study the uplink (UL) and downlink (DL) spectral efficiency (SE) of a cell-free massive multiple-input-multiple-output (MIMO) system over Rician fading channels.
Özgecan Özdogan   +2 more
semanticscholar   +1 more source

Wireless Energy Transfer in RIS-Aided Cell-Free Massive MIMO Systems: Opportunities and Challenges [PDF]

open access: yesIEEE Communications Magazine, 2022
In future 6G mobile networks, the Internet-of-Everything (IoE) is expected to provide extremely massive connectivity for small battery-powered devices. Indeed, massive devices with limited energy storage capacity impose persistent energy demand hindering
En-dong Shi   +6 more
semanticscholar   +1 more source

A Review on Cell-Free Massive MIMO Systems

open access: yesElectronics, 2023
Cell-free massive multiple-input multiple-output (CF mMIMO) can be considered as a potential physical layer technology for future wireless networks since it can benefit from all the advantages of distributed antenna systems (DASs) and network MIMOs, such as macro-diversity gain, high channel capacity, and link reliability.
Joumana Kassam   +4 more
openaire   +2 more sources

Scalable Cell-Free Massive MIMO with Multiple CPUs

open access: yesMathematics, 2022
In this paper, we consider the uplink of a scalable cell-free massive MIMO (CF-M-MIMO) system where user equipments (UEs) are served only by a subset of access points (APs).
Feiyang Li   +3 more
doaj   +1 more source

Downlink transmission and channel estimation for cell-free massive MIMO-OFDM with DSDs

open access: yesEURASIP Journal on Advances in Signal Processing, 2022
In a cell-free massive MIMO system, multiple users arrive at multiple access points at separate times, while in an OFDM system, different delays can be equivalent to delay spread differences (DSDs).
Yunxiang Guo   +6 more
doaj   +1 more source

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