This paper contributes by providing a comprehensive set of block error rate (BLER) vs. signal-to-noise ratio (SNR) curves under additive white Gaussian noise (AWGN) channel conditions for 5G new radio (NR) modulation and coding schemes (MCS) belonging to the 3GPP 5G NR TS 38.214 standard, with low-density parity check (LDPC) coded scenario according to TS 38.212. To enhance practical relevance in the context of O-RAN networks, this paper also introduces the effect of optimum quantization and compares the results without quantization, showing that despite system degradation, the performance remains very close to the unquantized case. By providing this comprehensive dataset, the paper offers valuable insights to support the selection of the most appropriate MCS depending on the required BLER-SNR scenario, serving as a guide in the design of 5G communication systems, for the scheduler, and as lookup tables for the physical layer (PHY) abstraction in link-level simulators (LLS).


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    BLER-SNR Curves for 5G NR MCS under AWGN Channel with Optimum Quantization




    Publication date :

    2024-10-07


    Size :

    497278 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Min-Max Design and Analysis of NOMA with Adaptive Modulation Under BLER Constraints

    Yahya, Hamad / Alsusa, Emad AlsusaEmad / Al-Dweik, Arafat | IEEE | 2022


    BLER-based Adaptive Q-learning for Efficient Random Access in NOMA-based mMTC Networks

    Tran, Duc-Dung / Sharma, Shree Krishna / Chatzinotas, Symeon | IEEE | 2021


    Impact of AWGN Channel on LTE RACH Throughput

    Vukovic, Ivan / Tormalehto, Jukka / Nagaraj, Shirish et al. | IEEE | 2015


    Bandwidth efficient signal sets with partitioned equicorrelated properties for the AWGN channel

    Atkin,G.E. / Khalona,R.A. / Illinois Inst.of Tech.,Dep.of Electrical and Computer Engineering,US | Automotive engineering | 1990


    Turbo-TCM Performance under AWGN and Rayleigh Fading Channels

    REN, Jun-tao / WANG, Mu-zhong / SHAO, Ding-rong | Elsevier | 2003

    Free access