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20 results for “Understanding of massive MIMO systems and channel state information acquisition”

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cs.ITeess.SPEmpiricalRecentJun 12, 2026

Generalized Framework for a Fair Comparison of Cellular and Cooperative Massive MIMO Systems

Leonard Paul Schulz, Stefan Schwarz, Gerhard Bauch

This paper introduces a graph-based framework for fair comparison of cellular, coordinated, and cell-free massive-MIMO systems, and derives compatible spectral efficiency expressions for uplink and do…

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eess.SPTheoreticalRecentJul 17, 2026

Multibit Quantized Precoding for MU-mMIMO

Getuar Rexhepi, Shreesal Shrestha, Christoph Studer, Giuseppe Thadeu Freitas de Abreu

This paper proposes a new method, multibit quantized precoding (MQP), for multi-user massive MIMO systems with low-resolution digital-to-analog converters, enforcing the finite-alphabet constraint thr…

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eess.SPEmpiricalRecentJul 24, 2026

A Foundation Model for Cross-Band CSI Reconstruction

Hongpu Zhang, Shu Sun, Ruifeng Gao, Tongjia Zhang +1 more

This paper proposes a model for cross-band CSI reconstruction in multi-band low-altitude wireless systems using radio-frequency metadata and pilot-guided cross-attention.

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eess.SPEmpiricalRecentJul 27, 2026

Toward Alias-Free Channel Extrapolation in Upper Mid-Band Systems: A Spatial-Frequency-Temporal Tensor Learning Approach

Jiawei Zhuang, Hongwei Hou, Yafei Wang, Xinping Yi +3 more

This paper proposes a tensor-structured multi-domain channel extrapolation framework to reduce pilot overhead in upper mid-band massive MIMO systems, using a Tucker-based SFT-domain signal model and a…

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eess.SPcs.ITTheoreticalRecentJun 12, 2026

Repeater-Assisted Massive MIMO Downlink Performance with Calibration Errors

Kohei Ueda, Anubhab Chowdhury, Koji Ishibashi, Erik G. Larsson

This paper analyzes the effects of calibration errors on downlink beamforming in a repeater-assisted massive MIMO system and derives analytical expressions for the downlink spectral efficiency.

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eess.SPTheoreticalRecentJun 12, 2026

On Optimal Strategies for Joint Reciprocity Calibration in Distributed MIMO

Kohei Ueda, Anubhab Chowdhury, Koji Ishibashi, Erik G. Larsson

This paper compares the downlink spectral efficiency of multi-user large antenna systems with global and local calibration approaches, and demonstrates that global calibration outperforms local calibr…

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cs.ITTheoreticalRecentJun 12, 2026

Noncoherent ISAC over Block-Fading Channels: Asymptotic Performance Analysis

Hao Yang, Kai Wan, Giuseppe Caire

This paper investigates the fundamental limits and optimal design for Integrated Sensing and Communication (ISAC) systems under noncoherent conditions, deriving a lower bound for noncoherent mutual in…

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eess.SPEmpiricalRecentJul 27, 2026

Beam-Domain Channel Estimation for mmWave MIMO using Sub-6 GHz Out-of-Band Information

Faruk Pasic, Mariam Mussbah, Stefan Schwarz, Markus Rupp

A novel beam-domain channel estimation method for mmWave MIMO is proposed using sub-6 GHz beam-domain information for improved accuracy.

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eess.SPcs.CREmpiricalRecentJul 22, 2026

ISAC-Assisted Channel Knowledge Map Generation for Physical Layer Authentication

Luca Bonaventura, Edoardo Gardin, Alessia Barison, Francesco Ardizzon +1 more

This paper proposes a physical layer authentication mechanism using integrated sensing and communication (ISAC) to reconstruct environment layout, infer propagation channels, and authenticate transmit…

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eess.SPTheoreticalRecentJul 20, 2026

Massive MIMO-OFDM ISAC for Sparse ISAR Imaging: Joint Power and Subcarrier Allocation

Hamid Reza Hashempour, Yanjiao Li, Jie Zhang, Hyundong Shin +1 more

This paper proposes a framework for integrated sensing and communication (ISAC) using mMIMO OFDM and ISAR imaging, developing an adaptive ADMM algorithm for high-resolution image recovery and a joint…

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eess.SPTheoreticalRecentJul 9, 2026

Fundamental Sensing Limits of 6G Cooperative MIMO-ISAC Networks: Joint Position-Velocity CRLB and Decoupling Analysis

Yanpeng Su, Norman Franchi, Maximilian Lübke

This paper derives Cramér-Rao lower bounds for cooperative MIMO integrated sensing and communication networks, considering position and velocity coupling in the Fisher information matrix.

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cs.ITeess.SPTheoreticalRecentJul 3, 2026

Cramér-Rao Bound Optimization for Massive MIMO DFRC Systems with 1-Bit DACs and ADCs

Chenfei Huang, Mingjie Shao, Ya-Feng Liu

This paper investigates the design of dual-function radar-communication systems for massive MIMO systems using 1-bit DACs and ADCs, optimizing the transmit signal matrix for enhanced sensing performan…

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cs.ITeess.SPTheoreticalRecentJul 21, 2026

Distribution of $k$-th Maximum Order Statistics of Independent, & Non-Identical SNR random variables in $κ-μ$ fading and its applications in $6G$

Srinivas Sagar, Athira Subhash, Sheetal Kalyani

This paper derives the asymptotic distribution of the k-th maximum order statistics of signal to noise ratio for a κ-μ fading channel using extreme value theory, and applies these results to various c…

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eess.SPTheoreticalRecentJun 25, 2026

Access Selection for Finite-SNR Modal Recoverability in Sampled-Wave Receivers

Shaojie Zhang, Ozgur B. Akan

This paper formulates receiver selection for large-aperture wave receivers as a modal-recoverability problem and proposes a framework with three nested recoverability criteria for individual modal deg…

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eess.SPTheoreticalRecentJul 21, 2026

Joint Synchronization and Sensing in Networked ISAC via Structured Canonical Polyadic Decomposition

Lin Chen, Yifan Liang, Hongbin Li

This paper proposes a structured canonical polyadic decomposition (SCPD) algorithm for accurate sensing and joint network-level synchronization in networked integrated sensing and communication (ISAC)…

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cs.ITeess.SPTheoreticalRecentJul 20, 2026

Task-Oriented Precoding for Edge Inference over Large-Scale MIMO Systems

Hongru Li, Zeyan Zhuang, Zixin Wang, Hengtao He +3 more

This paper proposes a statistical framework for designing task-aware multiple-input multiple-output (MIMO) precoders in future wireless networks using statistical channel state information and trainin…

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