Holographic MIMO Empowered NOMA-ISAC for 6G: Rate-Splitting Enhanced Near-Field Modeling, Multi-Objective Optimization, and Statistical Performance Validation
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866917164023283712 |
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| author | Majhi, Sumita |
| author_facet | Majhi, Sumita |
| contents | Holographic multiple-input multiple-output (MIMO) systems with extremely large apertures enable transformational capabilities for sixth-generation (6G) integrated sensing and communications (ISAC). However, existing non-orthogonal multiple access (NOMA) ISAC works inadequately address: (i) holographic near-field propagation with sub-wavelength antenna spacing; (ii) rate-splitting multiple access (RSMA) integration for interference management; (iii) statistical validation under realistic impairments. This paper presents a comprehensive holographic MIMO NOMA-ISAC framework featuring: \textbf{(1)} Unified near-field modeling incorporating spatially-correlated Rayleigh fading, spherical wavefront propagation, and sub-wavelength antenna coupling effects; \textbf{(2)} Novel rate-splitting enhanced NOMA (RS-NOMA) architecture enabling flexible interference management between sensing and communication; \textbf{(3)} Multi-objective optimization suite comparing hybrid alternating optimization with successive convex approximation (HAO-SCA), weighted minimum mean square error (WMMSE), semidefinite relaxation (SDR), fractional programming (FP), and deep reinforcement learning (DRL); \textbf{(4)} Rigorous statistical validation over 5000 Monte Carlo runs with significance testing across massive MIMO scenarios (up to 1024 antennas). Results demonstrate that RS-NOMA achieves \SI{11.7}{\percent} higher sum-rate than conventional NOMA and \SI{18.8}{\percent} over WMMSE at matched sensing utility. Sensing CRLB improvements of \SI{2.4}{\decibel} are confirmed with 99\% statistical confidence. The framework establishes rigorous foundations for practical 6G holographic MIMO ISAC deployment. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_19699 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Holographic MIMO Empowered NOMA-ISAC for 6G: Rate-Splitting Enhanced Near-Field Modeling, Multi-Objective Optimization, and Statistical Performance Validation Majhi, Sumita Networking and Internet Architecture Information Theory Holographic multiple-input multiple-output (MIMO) systems with extremely large apertures enable transformational capabilities for sixth-generation (6G) integrated sensing and communications (ISAC). However, existing non-orthogonal multiple access (NOMA) ISAC works inadequately address: (i) holographic near-field propagation with sub-wavelength antenna spacing; (ii) rate-splitting multiple access (RSMA) integration for interference management; (iii) statistical validation under realistic impairments. This paper presents a comprehensive holographic MIMO NOMA-ISAC framework featuring: \textbf{(1)} Unified near-field modeling incorporating spatially-correlated Rayleigh fading, spherical wavefront propagation, and sub-wavelength antenna coupling effects; \textbf{(2)} Novel rate-splitting enhanced NOMA (RS-NOMA) architecture enabling flexible interference management between sensing and communication; \textbf{(3)} Multi-objective optimization suite comparing hybrid alternating optimization with successive convex approximation (HAO-SCA), weighted minimum mean square error (WMMSE), semidefinite relaxation (SDR), fractional programming (FP), and deep reinforcement learning (DRL); \textbf{(4)} Rigorous statistical validation over 5000 Monte Carlo runs with significance testing across massive MIMO scenarios (up to 1024 antennas). Results demonstrate that RS-NOMA achieves \SI{11.7}{\percent} higher sum-rate than conventional NOMA and \SI{18.8}{\percent} over WMMSE at matched sensing utility. Sensing CRLB improvements of \SI{2.4}{\decibel} are confirmed with 99\% statistical confidence. The framework establishes rigorous foundations for practical 6G holographic MIMO ISAC deployment. |
| title | Holographic MIMO Empowered NOMA-ISAC for 6G: Rate-Splitting Enhanced Near-Field Modeling, Multi-Objective Optimization, and Statistical Performance Validation |
| topic | Networking and Internet Architecture Information Theory |
| url | https://arxiv.org/abs/2512.19699 |