International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Volume 8 Issue 6
November-December 2026

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Beyond 5G: Statistical and Empirical Performance Analysis of 3D Electromagnetic Field Modulation and Polynomial Encoding

Author(s) Dr. Udaysagar Kandpal
Country India
Abstract This paper presents an advanced physical layer framework for Beyond-5G (B5G) and 6G wirelesscommunication systems, combining a 2D polynomial encoding scheme with 3D Electromagnetic (EM) fieldmodulation (integrating amplitude, phase, dual polarization, and Orbital Angular Momentum modes). Torigorously evaluate the system's proposition of achieving unprecedented data efficiency, this work introducesformal statistical formulations, link-budget models, and empirical simulation comparisons against standard 5GNew Radio (3GPP Rel-15 to Rel-17) baselines. We provide closed-form expressions for polynomial symbolcompression efficiency, 8-dimensional EM tensor capacity, symbol error rate under Rician fading, and EVMdegradation from 256-state quantization noise. Empirical numerical results demonstrate that while the 3D EMconstellation expands symbol dimensionality to achieve a theoretical 2.67× to 4.0× spectral efficiency gainover 5G 256-QAM, achieving a 100× to 1000× system-level throughput enhancement mathematically requiresaggregating high-order OAM modes (???????????????? ≥ 16), extreme spatial multiplexing (Massive MIMO64 × 64 ,wideband mmWave/THz carriers(???? ≥ 800 MHz), and high-sparsity polynomial compression. The paperoutlines the exact statistical conditions, signal-to-noise ratio (SNR) thresholds, and hardware constraints underwhich these extreme efficiency gains are physically valid.
Keywords 3D Electromagnetic Field Modulation, Polynomial Encoding, Bandwidth Aggregation, Massive Spatial Vector Expansion,Orbital Angular Momentum Mode Multiplexing,,Proposed 3D EM + Poly Compression
Field Computer > Data / Information
Published In Volume 8, Issue 6, November-December 2026
Published On 2026-11-10
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E-ISSN 2582-2160
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CrossRef DOI prefix of IJFMR is 10.36948/ijfmr

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