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Open research questions in Advanced MIMO Systems Optimization

98 gap statements mined from Advanced MIMO Systems Optimization papers in our 4.5M-paper local library, which holds 1,039 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.

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What the literature leaves open

  • While existing CAPA-based research has predominantly addressed unicast scenarios, the critical area of multicast beamforming remains unexplored.

    Continuous Aperture Array (CAPA)-Based Multi-Group Multicast Communications · 2026 · DOI

  • Although preliminary research has explored beamforming designs for MA-enabled systems, the intricacies of the power consumption and the precise positioning of MA elements are not well understood, yet.

    Globally Optimal Movable Antenna-Enabled Multiuser Communication: Discrete Antenna Positioning, Power Consumption, and Imperfect CSI · 2025 · DOI

  • Rate-splitting (RS) effectively extracts data by decoding interference, yet its effectiveness is limited by the weakest UE.

    Rate-Splitting for Cell-Free Massive MIMO: Performance Analysis and Generative AI Approach · 2024 · DOI

  • The statistical characteristics of the signal-to-interference-plus-noise ratio (SINR), which capture the tail behavior of SINR, are crucial for metrics such as outage probability and for emerging mission-critical applications that emphasize extreme and rare events, but have not been thoroughly investigated.

    On the Distribution of SINR for Cell-Free Massive MIMO Systems · 2024 · DOI

  • Specifically, we derive a closed-form expression for the received distortion power, a critical aspect that has not been explored in literature.

    Nonlinear Distortion Correlation Aware Power Allocation for Massive MIMO Systems · 2024 · DOI

  • Ultra-dense networks (UDNs) have been proposed to achieve high data rates and energy efficiency, but their performance is limited by the increase of inter-user interference.

    Nonlinear Distortion-Aware Interference Alignment for Ultra-Dense Networks · 2024 · DOI

  • Nevertheless, a comprehensive signal model of massive multiple-input multiple-output (MIMO) uplink (UL) systems with multiple numerologies remains unclear.

    Signal Model and Linear Combining Design for Multi-Numerology Massive MIMO Systems · 2024 · DOI

  • The highly coupled MINLP problem is computationally prohibitive for traditional algorithms. The sub-connected hybrid beamforming architecture imposes constraints on the analog precoder. The method needs to be consistent with the underlying hardware model.

    Transformer-Based Hybrid Beamforming with Reconfigurable Pixel Antenna for HAPS Communications · 2026

  • There is a need for high-throughput and energy-efficient air-to-ground transmission techniques for HAPS communications. Conventional static arrays have limitations in terms of beamforming flexibility.

    Transformer-Based Hybrid Beamforming with Reconfigurable Pixel Antenna for HAPS Communications · 2026

  • Future research can focus on extending the proposed scheme to other scenarios. Future research can focus on improving the performance of the proposed scheme.

    Baseband-Efficient WMMSE Precoding: From a Signal Weighting Cost Perspective · 2026

  • Conventional precoding research focuses on reducing computational complexity, but overlooks the signal weighting cost. There is a need for a novel sparse precoding framework to reduce both challenges.

    Baseband-Efficient WMMSE Precoding: From a Signal Weighting Cost Perspective · 2026

  • Limited work considers multi-band interaction, temporal variation, and predictive control within a single framework. Many existing studies focus on single frequency bands or specific scenarios. The study addresses the limitations of existing studies through an AI-driven framework.

    Radio Network Performance Evaluation in Multi-Band LTE And 5G Deployments · 2026 · DOI

  • The lack of public datasets of real-world mobile network performance data. The limited availability of data to support research in energy-aware RAN optimisation, data-driven network management and cross-layer performance modelling.

    Performance Management Counters from Live 5G, 4G and 2G Radio Access Network · 2026 · DOI

  • The deployment of large numbers of Access Points may increase signaling burden and pilot contamination. Conventional multi-user MIMO systems have limitations, including fully digital precoding.

    Alternating Graph-Regularized Neural Network for adaptive beamforming in 5G milli meter wave massive MIMO multicellular networks · 2026 · DOI

  • Several limitations should be acknowledged. The simulator is an independent reconstruction because the original implementation was unavailable. User association is fixed during each episode, and handover, load balancing, and traffic variation are not modeled.

    Blockage-Aware Power Allocation Algorithm for Millimeter-Wave Communication with Dynamic Reward Q-Learning · 2026 · DOI

  • These factors may change the quantitative results and should be examined in future work. Nevertheless, the conclusions remain limited to the adopted system model, which assumes perfect CSI, normalized large-scale fading, fixed-size grouping, and single-cell spatially correlated Rayleigh channels.

    Correlation-Aware Greedy User Grouping for Zero-Forcing Precoding in Massive MIMO Downlink Systems · 2026 · DOI

  • The proposed approach focuses on dynamic behavior, cross-band interaction, and intelligent decision-making within a unified system. III.

    Radio Network Performance Evaluation in Multi-Band LTE And 5G Deployments · 2026 · DOI

  • Traditional methods, such as MMSE and LSTM-based estimators, suffer from high pilot overhead, poor scalability, and limited adaptability. The effectiveness of IRS depends critically on accurate and efficient CSI.

    LLM-PSO Channel Prediction for IRS-Aided MU-MIMO Communication Systems · 2026 · DOI

  • Investigating the application of SHAPRP in other domains, - Exploring the use of other XAI methodologies for model…

    SHAPRP: A SHAP-Guided Framework for Efficient RSS Estimation in 5G/B5G Networks · 2026 · DOI

  • We also present several current open challenges and outline future research directions aimed at fully realizing the potential of CF-mMIMO systems in meeting the evolving demands of future wireless networks.

    Next-Generation Multiple Access With Cell-Free Massive MIMO · 2024 · DOI

  • We highlight various current use case applications, discuss open challenges, and outline future research directions aimed at fully realizing the potential of NAFD CF-mMIMO systems to meet the evolving demands of future wireless networks.

    Ten Years of Research Advances in Full-Duplex Massive MIMO · 2024 · DOI

  • Existing models mostly neglect the practical influence of mutual coupling between the active and pinched elements. Most PASS research separates antenna selection from beamforming, failing to exploit the synergy between the discrete activation state and continuous spatial gain.

    Coupling-aware joint optimization for 6G pinching-antenna systems: global and scalable algorithms · 2026 · DOI

  • Investigating the impact of RIS-assisted coordination on other performance metrics. Analyzing the effect of increasing RIS size on other system parameters. Developing more advanced interference mitigation techniques for HetNets.

    Capacity and Interference Analysis for Heterogeneous Mobile Communication Networks · 2026 · DOI

  • High computational complexity in large MIMO-OFDM systems - Need for complexity-reduced variants of sparse recovery…

    Multi-dimensional hierarchical dictionary search for large MIMO-OFDM systems · 2026

  • Six open challenges emerge from the synthesis: the cross-paradigm benchmark deficit, real-world hardware-constrained deployment, joint waveform-RIS optimization for doubly-dispersive channels, multi-objective PAPR trade-offs, LLM safety in live network control, and diminishing returns of standalone heuristics.

    Optimization Algorithms for Joint OFDM Waveform Design and RIS Configuration in 6G Networks: From Convex Relaxation to Foundation Models · 2026

Most-cited papers in Advanced MIMO Systems Optimization

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Open questions raised by papers listed on this page include: (1) While existing CAPA-based research has predominantly addressed unicast scenarios, the critical area of multicast beamforming remains unexplored (“Continuous Aperture Array (CAPA)-Based Multi-Group Multicast Communications”, 2026); (2) The lack of public datasets of real-world mobile network performance data (“Performance Management Counters from Live 5G, 4G and 2G Radio Access Network”, 2026); (3) The conclusions remain limited to the adopted system model, which assumes perfect CSI, normalized large-scale fading, fixed-size grouping, and single-cell spatially correlated Rayleigh channels (“Correlation-Aware Greedy User Grouping for Zero-Forcing Precoding in Massive…”, 2026); (4) There is a need for high-throughput and energy-efficient air-to-ground transmission techniques for HAPS communications (“Transformer-Based Hybrid Beamforming with Reconfigurable Pixel Antenna for HAPS…”, 2026); (5) Future research can focus on extending the proposed scheme to other scenarios (“Baseband-Efficient WMMSE Precoding: From a Signal Weighting Cost Perspective”, 2026). 98 gap statements have been mined from Advanced MIMO Systems Optimization papers in our 4.5M-paper local library, which holds 1,039 papers on the topic; the gaps come from whichever of those papers state one. They are mostly the research gaps the authors state and the papers' abstracts, plus future-work, limitations and challenges passages. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one, so you can read the original claim in context.

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