Overview on RBIR-based PHY Abstraction

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Overview on RBIR-based PHY Abstraction Month Year doc.: IEEE 802.11-yy/xxxxr0 July, 2014 Overview on RBIR-based PHY Abstraction Date: 2014-07-15 Authors: Name Affiliations Address Phone email Yakun Sun Marvell Semiconductor 5488 Marvell Ln, Santa Clara, CA 95054 1-408-222-3847 yakunsun@marvell.com Nihar Jindal Broadcom Ron Porat Jiayin Zhang Huawei Fei Tong Samsung Wookbong Lee LG Jianhan Liu MediaTek Tianyu Wu Bin Tian Qualcomm Bo Sun ZTE Yakun Sun, et. al. (Marvell) John Doe, Some Company

July, 2014 Introduction Received Bit Mutual Information Rate (RBIR) ESM has been well studied for PHY abstraction [1-10]. It has been agreed to use RBIR ESM as PHY abstraction for PHY and integrated system simulation [11]. The current EMD [12] needs updates to provide RBIR PHY abstraction procedure and lookup tables. An overview on RBIR PHY abstraction is presented here (also included the RBIR lookup tables). Yakun Sun, et. al. (Marvell)

July, 2014 RBIR ESM Function RBIR ESM is the symbol level mutual information conditioned on the M-QAM. ESM function is defined as (given the SINR for a tone) Assuming coded modulation (CM) where U is a zero mean complex Gaussian random variable with variance 1, i.e., U~CN(0,1). RBIR is the average symbol level mutual information for a transmission of Nss spatial streams over N tones and T OFDM symbols. Yakun Sun, et. al. (Marvell)

Procedure of RBIR PHY Abstraction July, 2014 Procedure of RBIR PHY Abstraction RBIR PHY abstraction is done by: Step 1: Generate (both desired and interfering) channels. Step 2: Calculate the equalizer-output SINR per spatial stream for the n-th tone/t-th OFDM symbol, SINR(iss,n,t), iss=1…Nss. Equalizer is MRC if Nss=1, or MMSE if Nss>1. Step 3: Map N×T×Nss SINRs to 1 RBIR Step 4: Reverse map 1 RBIR to 1 effective SNR Yakun Sun, et. al. (Marvell)

Procedure of RBIR PHY Abstraction (2) July, 2014 Procedure of RBIR PHY Abstraction (2) Step 5: Estimate the PER for this transmission Selection of reference packet length is defined in [10]. Step 6: Determine if this transmission is successfully received based on PER. Yakun Sun, et. al. (Marvell)

Procedure of RBIR PHY Abstraction (3) July, 2014 Procedure of RBIR PHY Abstraction (3) Step-by-step diagram of PHY abstraction (except for channel generation). Step 1-2 are more time-consuming and can be simplified; step 3-5 are very efficient. Note SINR per-OFDM symbol is calculated even for slow-fading channels if interference levels change across the duration of the transmission. Yakun Sun, et. al. (Marvell)

Lookup Table for RBIR ESM July, 2014 Lookup Table for RBIR ESM Real-time calculation of RBIR mapping (Φ function) is time consuming. RBIR LUT can be used in this place for quick implementation. 1 LUT for each modulation  5 LUTs for all current defined modulations. For a PHY packet with a fixed MCS, only 1 LUT is loaded for PHY abstraction (PER prediction). Yakun Sun, et. al. (Marvell)

RBIR PHY Abstraction Using LUT July, 2014 RBIR PHY Abstraction Using LUT Yakun Sun, et. al. (Marvell)

Link Adaptation Using LUT July, 2014 Link Adaptation Using LUT Channel-aware link adaptation can also use RBIR-based PER prediction. Iterate over all MCS to predict performance for each MCS via RBIR. For example, genie max-rate link adaptation: Suppose the SINR for each tone and each OFDM symbol is known. For mcs = 0 to 9 Step 1: Map SINRs into SNReff for the corresponding modulation 1 out of 5 RBIR LUTs each iteration Step 2: Predict PER based on SNReff for the corresponding MCS 1 out of 10 PER LUTs each iteration Step 3: R(mcs) = (1-PER) * rate(mcs) Select MCS* = argmax_{mcs=0…9} R(mcs) Yakun Sun, et. al. (Marvell)

What is Needed in EMD for RBIR? July, 2014 What is Needed in EMD for RBIR? LUT for RBIR ESM mapping and AWGN PER. 5 RBIR LUTs 10 PER LUTs for BCC/LDPC respectively for each reference packet length. LUTs are provided in [14]. Yakun Sun, et. al. (Marvell)

Further Works Impact of implementation loss July, 2014 Further Works Impact of implementation loss Channel estimation error (e.g., [5,13]) Impact of excessive long channels for outdoor scenarios (ISI/ICI) Other practical impairments (CFO/timing/PN…) Yakun Sun, et. al. (Marvell)

July, 2014 Straw Poll Include the procedure of PHY abstraction in slide3-4 into EMD Y: N: A: Yakun Sun, et. al. (Marvell)

July, 2014 References IEEE 802.16m-08/004r5, “IEEE 802.16m Evaluation Methodology Document” 3GPP TR 25.892 V2.0.0 “Feasibility Study for OFDM for UTRAN enhancement”, June 2004. 11-14-0117-00-0hew-PHY-abstraction-for-HEW-system-level-simulation 11-13-1131-00-0hew-phyabstraction-for-hew-system-level-simulation 11-14-0353-00-0hew-suggestion-on-phy-abstraction-for-evaluation-methodology 11-14-0043-02-0hew-PHY-abstraction-in-system-level-simulation-for-HEW-study 11-14-0335-00-0hew-instantenous-sinr-calibration-for-system-simulation 11-14-0581-00-00ax-further-discussion-on-phy-abstraction 11-14-0647-02-00ax-phy-abstraction-comparison 11-14-0803-01-00ax-Packet-Length-for-Box-0-Calibration 11-14-0585-05-00ax-phy-abstraction-types-for-11ax-system-level-simulation 11-14-0571-02-00ax-evaluation-methodology 11-14-0810-00-00ax-RBIR-based-phy-abstraction-with-channel-estimation-error 11-14-873-00-00ax-PHY-Abstraction-Tables-for-11ax-System-Level-Simulation Yakun Sun, et. al. (Marvell)