5G NSA TDD deployment with 80 MHz vs. 100 MHz bandwidth

Hello Experts.

I am working on a comparative study for 5G NSA deployment, specifically evaluating 5G NSA TDD with 80 MHz bandwidth versus 100 MHz bandwidth.

Could someone guide me on how to approach this study to effectively highlight the impact of bandwidth on network performance?

Are you comparing bandwidths within the same band, such as n41 with 80 MHz and 100 MHz, or are you evaluating two different bands with these bandwidths?

The comparison is within the same band, n78, but with different bandwidth proposals.

Key Factors to Consider:

  1. Direct Impact on Throughput:

    • A higher bandwidth (100 MHz) directly increases the available data rates compared to 80 MHz.
    • This is due to the larger spectrum allowing more resource blocks (RBs) to be allocated per user, leading to higher peak and average throughput.
  2. Capacity with High User Density:

    • With more users, a higher bandwidth provides better capacity to accommodate simultaneous connections.
    • 100 MHz can handle a larger number of active users with consistent quality of service (QoS), whereas 80 MHz might face limitations in maintaining throughput under heavy loads.
  3. Cost of Bandwidth:

    • Higher bandwidth, such as 100 MHz, typically incurs greater licensing and operational costs.
    • Evaluate the trade-off between the performance benefits and the additional expense to determine the cost-efficiency for your deployment scenario.

Yes, but how can I calculate the number of users and prove the impact? I’m feeling a bit lost…

You can calculate the throughput per user and then compare the performance for a specific number of users with both bandwidth options (80 MHz and 100 MHz).

This will clearly demonstrate the differences in capacity and user experience for each scenario.

Thank you!

My concern is how we can calculate the number of users that can be supported.

I don’t think it’s possible to calculate the exact number of users because it depends on the type of service each user is using.

For example, a user primarily using WhatsApp will consume far fewer resources compared to a user engaged in heavy downloads.

First, you need to calculate the cell throughput based on the available bandwidth.

Then, using your design’s cell-edge user throughput, you can determine the number of users that can be supported by one cell for each bandwidth type.