Submission doc.: IEEE /1452r0 November 2014 Leif Wilhelmsson, EricssonSlide 1 Frequency selective scheduling in OFDMA Date: Authors:

Submission doc.: IEEE /1452r0 Abstract OFDMA allows for frequency selective scheduling To achieve the scheduling gain requires accurate channel knowledge at the AP without extensive sounding This contribution presents initial simulation results for a simple set-up concerning possible gain achieved by frequency selective scheduling as well as impact of channel estimation error Possible ways to obtain channel knowledge at the AP are also discussed Slide 2Leif Wilhelmsson, Ericsson November 2014

Submission doc.: IEEE /1452r0 Outline Motivation/Related work Assumptions and problem description Evaluation methodology Potential gain using frequency selective scheduling Possible ways to obtain channel knowledge Conclusions Slide 3Leif Wilhelmsson, Ericsson November 2014

Submission doc.: IEEE /1452r0 Motivation/Related work OFDMA is one of technologies discussed for improving spectrum efficiency in IEEE ax It may be expected to have its largest benefit for small packets, where substantial gain has been seen [1] Also for larger packets simple OFDMA has been argued to achieve gain [2] It was demonstrated in [3] that frequency selective scheduling can rather substantially improve the throughput Slide 4Leif Wilhelmsson, Ericsson November 2014

Submission doc.: IEEE /1452r0 Assumptions and problem description Single BSS, SISO, 20 MHz channel, 4 users Perfectly orthogonal users Each user is assigned continuous subcarriers in DL, here denoted a subband, for example as illustrated above Slide 5Leif Wilhelmsson, Ericsson November 2014 Frequency STA2STA33 STA43 STA13 STA23

Submission doc.: IEEE /1452r0 Evaluation methodology Use methodology similar to [2], i.e., Map the sub-carrier SNR to data rate using capacity formula Gain expressed in SNR or throughput increase in percentage Performance comparison Baseline: one user always transmits on the same 5MHz subband Random scheduling: one user transmits on a random subband Frequency selective scheduling: users are allocated to “suitable” 5MHz subband to transmit on (A simple scheduling algorithm: allocate the sub-band with the highest average frequency response to the corresponding user; proceed to apply algorithm to the rest of sub-bands and users) Slide 6Leif Wilhelmsson, Ericsson November 2014

Submission doc.: IEEE /1452r0 Potential gain – single user Slide 7Leif Wilhelmsson, Ericsson November 2014 “Channel model D*” and ideal channel knowledge at AP assumed Similar trends seen as for channel model B, but the gains are larger Larger delay spread makes different sub-bands more different * Exponential delay profile with same delay spread as D

Submission doc.: IEEE /1452r0 Potential gain – single user Slide 8Leif Wilhelmsson, Ericsson November 2014 Figures show potential gain vs. delay spread for SNR = 10 dB and ideal channel knowledge If delay spread = 0 -> No gain by frequency selective scheduling as channel is flat If delay spread sufficiently large, “average channel conditions” obtained in all sub- bands -> No gain Same figure would be obtained for channel based OFDM (20 MHz sub- channels in 80 MHz channel), but with x-axis scaled (reduced) a factor of 4.

Submission doc.: IEEE /1452r0 Potential gain – 4 users Slide 9Leif Wilhelmsson, Ericsson November 2014 Channel model D* and ideal channel knowledge at AP assumed Similar trends seen as for channel model B, but the gains are larger Larger delay spread makes different sub-bands more different

Submission doc.: IEEE /1452r0 Potential gain – 4 users Slide 10Leif Wilhelmsson, Ericsson November 2014 Figures show potential gain vs. delay spread for SNR = 10 dB and ideal channel knowledge Similar behavior as for single user, but potential gain considerably smaller

Submission doc.: IEEE /1452r0 Initial simulations with channel variations Slide 11Leif Wilhelmsson, Ericsson November 2014 Multiple-user with same scheduling algorithm as in previous study Fixed 10dB SNR, Channel model D* and Doppler spreads up to 50Hz Low Doppler probably most interesting for IEEE ax -> very small degradation due to channel variations if channel estimation within, say, 10ms With this simple scheduling algorithm, multi-user performance more degraded due to channel variation than single user case

Submission doc.: IEEE /1452r0 Channel sounding for frequency scheduling As shown in previous simulation results, the accuracy of channel knowledge is important to achieve scheduling gain Required that AP obtains channel information for entire bandwidth and for all STAs Two options STAs estimate channel (e.g. using LTF) and report back AP estimate channel directly (Take advantage of channel reciprocity) UL transmission may or may not use OFDMA OFDMA may be more effective for ACK Slide 12Leif Wilhelmsson, Ericsson November 2014

Submission doc.: IEEE /1452r0 Channel sounding for frequency scheduling To allow for channel estimation, e.g. L-LTF transmission is modified L-STF field assumed primarily used of AGC (sync based on DL) L-LTF modified for OFDMA L-LTF used for channel estimation, LTF either sent staggered in time (one STA at a time) or according to pre-determined orthogonal patterns. Essential that AP can estimate full BW for all STAs, not just the sub-band used in DL The remaining part of the (ACK) packet is e.g. sent using the same sub- carriers as in the DL to benefit from frequency selective scheduling Slide 13Leif Wilhelmsson, Ericsson November 2014 L-STF F L-LTF STA1 F L-LTF STA2 F L-LTF STA3 F L-LTF STF4 F STA1 F STA2 F STA3 F STA4 4

Submission doc.: IEEE /1452r0 Conclusions Slide 14Leif Wilhelmsson, Ericsson November 2014 Frequency-selective scheduling can provide gain for both single-user and multi-user cases. Multi-user gain notably smaller (at least with used algorithm) The throughput gain is larger for low SNRs Inaccurate channel knowledge (due to channel estimation error and/or feedback delay) leads to scheduling performance loss. However, this does not seem to be a show-stopper for ax ax has two key components for making frequency selective scheduling effective, TDD and low latency for ACK report

Submission doc.: IEEE /1452r0November 2014 Leif Wilhelmsson, EricssonSlide 15 References /0855r0, “Techniques for short downlink frames” /0858r0, “Analysis on Multiplexing Schemes exploiting frequency selectivity in WLAN Systems” /1227r3, “OFDMA Performance Analysis”

Submission doc.: IEEE /1452r0 Potential gain – single user Slide 16Leif Wilhelmsson, Ericsson November 2014 “Channel model B*” and ideal channel knowledge at AP assumed Random subband allocation same performance as fixed (as expected) SNR gain essentially independent of SNR Relative throughput gain higher for lower SNR * Exponential delay profile with same delay spread as B

Submission doc.: IEEE /1452r0 Potential gain – 4 users Channel model B* and ideal channel knowledge at AP assumed All sub-bands used, so individual users may not get a rather poor channel Similar trends as for single user, fixed SNR gain and relatively larger gain for low SNR Small gains even with perfect channel knowledge (may be partly due to too simple algorithm) Slide 17Leif Wilhelmsson, Ericsson November 2014

Submission doc.: IEEE /1452r0 Impact of inaccurate channel knowledge Introduce random errors to model inaccurate channel knowledge Add white noise equivalent to 20% channel error Scheduling based on non-ideal channel estimate Baseline: fixed subband allocation with ideal channel knowledge Inaccurate channel knowledge results in performance loss Slide 18Leif Wilhelmsson, Ericsson November 2014

Submission doc.: IEEE /1452r0 Initial simulations with channel variations Slide 19Leif Wilhelmsson, Ericsson November 2014 Fixed 10dB SNR, Channel model D* and Doppler spreads up to 50Hz Consider different channel feedback delay from 1ms to 5ms Low Doppler probably most interesting for IEEE ax -> very small degradation due to channel variations if channel estimation within, say, 10ms