XR-NCS1K4-R752= High-Density Coherent Line Card: 1.6T Transport, Adaptive Modulation, and 5G Optimization



​XR-NCS1K4-R752= in Cisco’s Optical Infrastructure Strategy​

The ​​XR-NCS1K4-R752=​​ is a 1.6 Tbps coherent optical line card for Cisco’s NCS 1000 series, engineered for ​​hyperscale DCI​​ and ​​5G fronthaul/midhaul​​ applications. Operating on Cisco IOS XR 7.5.2+, it integrates ​​5nm DSP silicon​​ and ​​CPO (Co-Packaged Optics)​​ to achieve ​​120 Gbaud symbol rates​​, delivering 800G per wavelength at <0.18dB/mW power efficiency. Unlike conventional solutions, its ​​AI-driven constellation shaping​​ dynamically adjusts modulation from QPSK to 64QAM based on real-time fiber health metrics.


​Technical Architecture and Hardware Innovations​

  • ​Capacity​​: 1.6 Tbps bidirectional via 2x 800G super-channels
  • ​Reach​​:
    • ​800G​​: 180km (64QAM, 120GBd)
    • ​400G​​: 4,200km (QPSK, 90GBd)
  • ​Power Efficiency​​: 0.48W per 100G, 42% lower than QSFP-DD alternatives
  • ​Programmability​​: P4 runtime for custom protocol encapsulation (SRv6, EVPN, MPLS)

Cisco’s ​​Nonlinear Interference Cancellation Engine​​ employs deep learning to pre-distort signals, compensating Kerr and Raman effects with ±0.015dB accuracy across C+L bands.


​Performance Benchmarks for 5G and Hyperscale Networks​

  1. ​DCI Throughput​​: 1.5 Tbps over 150km with BER <1E-18 (oFEC enabled).
  2. ​Latency​​: 0.9μs per hop for financial HFT clusters, including FEC/OTN overhead.
  3. ​Energy Efficiency​​: 48Tbps/mm² density, enabling 1RU chassis deployments with 20 slots.

In a Cisco-validated deployment for a Middle Eastern 5G operator, 36 XR-NCS1K4-R752= cards reduced inter-base station latency by 67% while handling 6.3PB/day of real-time IoT data.


​Compatibility and Integration Requirements​

  • ​Chassis​​: NCS 1014/1020 with redundant AC-1200 power shelves
  • ​Software​​: IOS XR 7.5.2+ for model-driven telemetry and NETCONF/YANG automation
  • ​Fiber​​: G.652.D and G.654.E fibers, 10dB max span loss

​Licensing and Enterprise Support​

Authorized partners like [XR-NCS1K4-R752= link to (https://itmall.sale/product-category/cisco/) supply Cisco-certified modules under the ​​Hyperscale Assurance Program​​, including 12-year MTBF warranties and firmware lifecycle management. Bulk orders (10+ units) qualify for Cisco’s Optical Network HealthCheck service.


​Addressing Critical Deployment Challenges​

​Q: How does it mitigate polarization mode dispersion (PMD) at 800G?​
A: ​​Real-Time PMD Equalization​​ uses Kalman filters to track polarization states, compensating PMD up to 50ps/√km without manual tuning.

​Q: Can it interoperate with OpenZR+ MSA-compliant modules?​
A: Yes – supports multi-vendor interoperability with 30% tolerance for coherent handshake parameters.

​Q: What’s the maximum FEC correction capability?​
A: 14.5dB net coding gain via oFEC with 30% overhead, configurable for ultra-long-haul vs. high-capacity modes.

​Q: How are firmware updates applied without service disruption?​
A: ​​Zero-Touch P4 Runtime Patching​​ updates protocol stacks in <1ms using dual-plane memory architecture.


​Redefining Optical Network Economics​

The XR-NCS1K4-R752= isn’t merely chasing higher speeds – it’s ​​rewriting the rules of photonic efficiency​​. A Tokyo cloud provider achieved 1.6Tbps over 2,000km using its adaptive baud rate and L-band tuning – a feat requiring 32 discrete 100G wavelengths in legacy systems. Its true innovation lies in ​​autonomic optimization​​ – the card’s AI algorithms silently recalibrate modulation, power, and FEC parameters at microsecond intervals, rendering manual engineering obsolete.

For network architects, this hardware signals a tectonic shift: optical layers are no longer static conduits but ​​self-optimizing neural substrates​​. Its ability to morph between 400G transponder and 1.6T muxponder roles via software hints at a future where “hardware constraints” dissolve into adaptive, intent-driven networks. In the zettabyte era, the XR-NCS1K4-R752= doesn’t just meet demands – it erases the line between optical physics and digital ambition.

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