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

• Published in: IEEE Vehicular Technology Conference pp. 1 - 5
• Main Authors: Singh, Keshav, Ku, Meng-Lin, Flanagan, Mark F.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2020
• Subjects: Decoding; Downlink; Error probability; finite blocklength (FBL) codes; Linear programming; MISO communication; multiple-input single-output (MISO); Optimization; Precoder design; Ultra reliable low latency communication; ultra-reliable low-latency communication (URLLC)
• ISSN: 2577-2465
• DOI: 10.1109/VTC2020-Spring48590.2020.9128362

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.