📋 Planned Article Outline
- Introduction: Why Spectral Efficiency Matters in 5G NRMotivation & prerequisites
- OMA vs NOMA: The Core IdeaConceptual comparison
- The NOMA Transmitter: Superposition CodingPower allocation, signal model
- The Rayleigh Fading Channel ModelStatistical derivation, PDF, CDF
- Successive Interference Cancellation (SIC) at the ReceiverStep-by-step decoding with math
- BER and Capacity Analysis Under NOMAShannon capacity, BER curves
- Power Allocation: Fixed vs AdaptiveFairness vs throughput trade-off
- NOMA in 5G NR: 3GPP Standardisation StatusSpec references, deployments
- Python Simulation: BER vs SNR Under Rayleigh FadingFull code walkthrough
- Summary & Key Takeaways
Key Concepts This Article Will Cover
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NOMA (Non-Orthogonal Multiple Access) — Multiple users multiplexed in the power domain on the same time-frequency resource, as opposed to OMA (OFDMA/TDMA) which gives each user orthogonal resources.
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Successive Interference Cancellation (SIC) — Receiver technique enabling NOMA: the stronger signal is decoded first, subtracted, then the weaker signal is decoded without interference.
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Rayleigh Fading — Statistical model for rapid amplitude fluctuations due to multipath propagation — the dominant channel model in non-line-of-sight 5G deployments.
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Why this matters: NOMA can serve more users per resource block than OMA, critical for 5G's massive connectivity targets (up to 10⁶ devices/km²).