Use Case for Distributed Resource Units in Downlink Scenarios

 
September 2023
 
Sigurd Schelstraete, MaxLinear
 
Slide 1
 
Use case for distributed RUs in Downlink
 
Date: 10-Sep-23
 
Authors:
 
Introduction
 
OFDMA uses Resource Units (RU) to assign distinct parts
of the bandwidth to different users
In 802.11ax, 802.11be, RUs are contiguous (apart from
puncturing)
i.e., consisting of consecutive, adjacent tones
In [1], the concept of “distributed RU” (dRU) was
introduced
Tones assigned to a user are spread across the bandwidth
Mostly for UL OFDMA to 
overcome the 
regulatory PSD limits
In [2], the 
performance of dRU under residual CFO is
investigated
 
Slide 2
 
Sigurd Schelstraete, MaxLinear
 
September 2023
 
dRU in downlink
 
Both [1] and [2] explicitly consider dRU in the uplink
direction
Use of dRU in downlink does not provide the ability to
boost power as proposed in [1] for uplink OFDMA
 
Are there other possible benefits from using dRU in
downlink?
In this submission, we investigate a possible use case
for dRU in the downlink direction
 
Slide 3
 
Sigurd Schelstraete, MaxLinear
 
September 2023
 
Disadvantage of “regular” RU
 
The wireless channel may exhibit strong frequency selectivity
 
 
 
 
 
 
 
 
The optimal MCS for an RU could vary significantly depending on
its position within the total bandwidth
Separate RUs may require separate rate adaptation
SU rate adaptation is different from OFDMA rate adaptation
 
Slide 4
 
Sigurd Schelstraete, MaxLinear
 
September 2023
 
Distributed RU in downlink
 
For a dRU, the tones can be effectively spread across the whole spectrum
“sampling” the entire bandwidth
For instance:
 
 
 
 
 
 
 
distributed RUs exhibits very similar channel conditions
Essentially the same as SU channel
 
Slide 5
 
Sigurd Schelstraete, MaxLinear
 
September 2023
 
Example: channel conditions for different
RUs
 
Slide 6
 
Sigurd Schelstraete, MaxLinear
 
September 2023
 
Rate adaptation with dRU
 
Intuitively, optimal MCS values for different
distributed RUs should be very similar, if not identical
Also identical to SU rate adaptation
Rate adaptation could effectively be performed
independently of the “location” of the RU – or even the
size of the RU
Eliminate the need for separate rate adaptation for (potentially)
each RU location
Or, conversely, no need to restrict non-AP STA to single RU
Only a single rate adaptation training is needed
Covering both OFDMA and SU
The MCS value for a given RU does not risk getting “out of date”
because the specific RU hasn’t been used for a while
 
Slide 7
 
Sigurd Schelstraete, MaxLinear
 
September 2023
 
BER curves of all possible RUs and dRUs
 
Slide 8
 
Sigurd Schelstraete, MaxLinear
 
September 2023
 
BER curves for dRUs of different size
 
Slide 9
 
Sigurd Schelstraete, MaxLinear
 
September 2023
 
Observations
 
There is a significant spread in the BER curves of
“regular” RUs
BER curves of distributed RUs (locations and sizes) are
very close together
Rate adaptation could be performed independently of the
location or size of the RU
Identical for SU and OFDMA
Note: Rx smoothing could be impacted
STA could still estimate full channel
 
Slide 10
 
Sigurd Schelstraete, MaxLinear
 
September 2023
 
Pilot Tones for dRU
 
Each “regular” RU has a number of pilot tones within
its frequency boundaries
spaced relatively closely together, especially for smaller RUs
Each distributed RU is spread across the full
bandwidth
We could define a single set of pilot tones (e.g., 16 tones
for 80 MHz), that can be used/shared by all of the
distributed RUs
Better tracking for “smaller” RUs
Better frequency separation of pilot tones
Single tracking algorithm for all RU sizes and locations
 
Slide 11
 
Sigurd Schelstraete, MaxLinear
 
September 2023
 
Conclusions
 
Distributed RUs have been mostly considered for UL
transmissions
There is a use case for distributed RUs in downlink
Unified and convenient rate adaptation
Common set of pilot tones for all RUs
 
Slide 12
 
Sigurd Schelstraete, MaxLinear
 
September 2023
 
References
 
[1] 11/23-0037 UHR Feature to Overcome PSD Limitations
Distributed-Tone Resource Units,
https://mentor.ieee.org/802.11/dcn/23/11-23-0037-00-0uhr-uhr-feature-to-
overcome-psd-limitations-distributed-tone-resource-units.pptx
[2] 11/23-1115 CFO Impact and Pilot Design for dRU,
https://mentor.ieee.org/802.11/dcn/23/11-23-1115-00-0uhr-cfo-impact-and-
pilot-design-for-dru.pptx
 
Slide 13
 
Sigurd Schelstraete, MaxLinear
 
September 2023
Slide Note

doc.: IEEE 802.11-yy/xxxxr0

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The document explores the concept of distributed Resource Units (dRU) in downlink scenarios in IEEE 802.11 standards like 802.11ax and 802.11be. It discusses the benefits and potential advantages of using dRU in downlink transmissions, focusing on how it can effectively distribute tones across the spectrum to improve channel conditions. By investigating the use of dRU in downlink, the submission aims to enhance the efficiency and performance of OFDMA systems in wireless communications.

  • Distributed Resource Units
  • Downlink Transmission
  • IEEE 802.11
  • OFDMA
  • Wireless Communications

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  1. September 2023 doc.: IEEE 802.11-23/1516r0 Use case for distributed RUs in Downlink Date: 10-Sep-23 Authors: Name Sigurd Schelstraete Affiliations MaxLinear Address Phone email sschelstraete@maxlinear.com Rainer Strobel Inaki Val Marcos Martinez Submission Slide 1 Sigurd Schelstraete, MaxLinear

  2. September 2023 doc.: IEEE 802.11-23/1516r0 Introduction OFDMA uses Resource Units (RU) to assign distinct parts of the bandwidth to different users In 802.11ax, 802.11be, RUs are contiguous (apart from puncturing) i.e., consisting of consecutive, adjacent tones In [1], the concept of distributed RU (dRU) was introduced Tones assigned to a user are spread across the bandwidth Mostly for UL OFDMA to overcome the regulatory PSD limits In [2], the performance of dRU under residual CFO is investigated Submission Slide 2 Sigurd Schelstraete, MaxLinear

  3. September 2023 doc.: IEEE 802.11-23/1516r0 dRU in downlink Both [1] and [2] explicitly consider dRU in the uplink direction Use of dRU in downlink does not provide the ability to boost power as proposed in [1] for uplink OFDMA Are there other possible benefits from using dRU in downlink? In this submission, we investigate a possible use case for dRU in the downlink direction Submission Slide 3 Sigurd Schelstraete, MaxLinear

  4. September 2023 doc.: IEEE 802.11-23/1516r0 Disadvantage of regular RU The wireless channel may exhibit strong frequency selectivity The optimal MCS for an RU could vary significantly depending on its position within the total bandwidth Separate RUs may require separate rate adaptation SU rate adaptation is different from OFDMA rate adaptation Slide 4 Submission Sigurd Schelstraete, MaxLinear

  5. September 2023 doc.: IEEE 802.11-23/1516r0 Distributed RU in downlink For a dRU, the tones can be effectively spread across the whole spectrum sampling the entire bandwidth For instance: distributed RUs exhibits very similar channel conditions Essentially the same as SU channel Submission Slide 5 Sigurd Schelstraete, MaxLinear

  6. September 2023 doc.: IEEE 802.11-23/1516r0 Example: channel conditions for different RUs Distributed RU regular RU Submission Slide 6 Sigurd Schelstraete, MaxLinear

  7. September 2023 doc.: IEEE 802.11-23/1516r0 Rate adaptation with dRU Intuitively, optimal MCS values for different distributed RUs should be very similar, if not identical Also identical to SU rate adaptation Rate adaptation could effectively be performed independently of the location of the RU or even the size of the RU Eliminate the need for separate rate adaptation for (potentially) each RU location Or, conversely, no need to restrict non-AP STA to single RU Only a single rate adaptation training is needed Covering both OFDMA and SU The MCS value for a given RU does not risk getting out of date because the specific RU hasn t been used for a while Submission Slide 7 Sigurd Schelstraete, MaxLinear

  8. September 2023 doc.: IEEE 802.11-23/1516r0 BER curves of all possible RUs and dRUs Submission Slide 8 Sigurd Schelstraete, MaxLinear

  9. September 2023 doc.: IEEE 802.11-23/1516r0 BER curves for dRUs of different size Submission Slide 9 Sigurd Schelstraete, MaxLinear

  10. September 2023 doc.: IEEE 802.11-23/1516r0 Observations There is a significant spread in the BER curves of regular RUs BER curves of distributed RUs (locations and sizes) are very close together Rate adaptation could be performed independently of the location or size of the RU Identical for SU and OFDMA Note: Rx smoothing could be impacted STA could still estimate full channel Submission Slide 10 Sigurd Schelstraete, MaxLinear

  11. September 2023 doc.: IEEE 802.11-23/1516r0 Pilot Tones for dRU Each regular RU has a number of pilot tones within its frequency boundaries spaced relatively closely together, especially for smaller RUs Each distributed RU is spread across the full bandwidth We could define a single set of pilot tones (e.g., 16 tones for 80 MHz), that can be used/shared by all of the distributed RUs Better tracking for smaller RUs Better frequency separation of pilot tones Single tracking algorithm for all RU sizes and locations Submission Slide 11 Sigurd Schelstraete, MaxLinear

  12. September 2023 doc.: IEEE 802.11-23/1516r0 Conclusions Distributed RUs have been mostly considered for UL transmissions There is a use case for distributed RUs in downlink Unified and convenient rate adaptation Common set of pilot tones for all RUs Submission Slide 12 Sigurd Schelstraete, MaxLinear

  13. September 2023 doc.: IEEE 802.11-23/1516r0 References [1] 11/23-0037 UHR Feature to Overcome PSD Limitations Distributed-Tone Resource Units, https://mentor.ieee.org/802.11/dcn/23/11-23-0037-00-0uhr-uhr-feature-to- overcome-psd-limitations-distributed-tone-resource-units.pptx [2] 11/23-1115 CFO Impact and Pilot Design for dRU, https://mentor.ieee.org/802.11/dcn/23/11-23-1115-00-0uhr-cfo-impact-and- pilot-design-for-dru.pptx Submission Slide 13 Sigurd Schelstraete, MaxLinear

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