One of the key applications in the fifth generation (5G) communication systems is to support extremely high reliability $(\sim 99.999$%) and low latency $(\lt 1$ ms), namely ultra-reliable and low-latency communication. In this paper, we consider the problem of maximizing energy efficiency (EE) for downlink multi-user multiple-input single-output (MISO) networks under short packet transmission. An optimization problem is formulated to jointly optimize the precoders at the base station (BS) for serving multiple downlink users and the error probability with finite blocklength (FBL) codes, subject to the constraints on decoding error probability per URLLC user and on the BS transmit power. Since the formulated problem is non-convex, we convert this problem into a convex one by analyzing the structure of the EE objective. We then propose an algorithm to find a near-optimal solution for maximizing the EE. Simulation results validate the effectiveness of the proposed algorithm that supports energy-efficient URLLC.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Energy-Efficient Precoder Design for URLLC-Enabled Downlink Multi-User MISO Networks Using Finite Blocklength Codes


    Contributors:


    Publication date :

    2020-05-01


    Size :

    176297 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Precoder Design for Cooperative Multi-User Downlink MISO Channels with Finite Side-Link Capacity

    Chitti, Krishna / Rusek, Fredrik / Tumula, Chaitanya | IEEE | 2018


    Bayesian optimization of Blocklength for URLLC Under Channel Distribution Uncertainty

    Zhang, Wenheng / Derakhshani, Mahsa / Khosraviradsup, Saeed R. et al. | IEEE | 2022




    Cross-Subcarrier Precoder Design for Massive MIMO-OFDM Downlink

    Zhang, Yuxuan / Lu, An-An / Liu, Bingyan et al. | IEEE | 2023