Resource Allocation and Beamforming Design in the Short Blocklength Regime for URLLC

Ali Arshad Nasir, H. D. Tuan, Ha H. Nguyen, Merouane Debbah, H. Vincent Poor

Research output: Contribution to journalArticlepeer-review

66 Scopus citations


Providing ultra reliable and low-latency communication (URLLC) is considered one of the major challenges for wireless communication networks. This article considers a downlink URLLC system in which a base station (BS) serves multiple single-antenna users in the short blocklength regime. With the objective of maximizing the users' minimum rate, three different optimization problems are considered: (i) joint design of bandwidth and power allocation for the case of a single-antenna BS; (ii) beamforming design for the case of a multiple-antenna BS; and (iii) design of power allocation with regularized zero-forcing beamforming for the case of a multiple-antenna BS. In the short blocklength regime, the achievable rate is a complicated function of bandwidth and power allocation coefficients or beamforming vectors, which makes these max-min rate optimization problems challenging to solve. This work develops path-following algorithms, which generate a sequence of improved feasible points and converge at least to a locally optimal solution, to solve these three optimization problems. Performance of the proposed algorithms is analyzed through extensive simulations under various settings of transmit power budget, number of users, total bandwidth, transmission time, and number of transmit antennas at the BS. Simulation results clearly demonstrate the merits of the proposed algorithms.

Original languageEnglish (US)
Article number9246274
Pages (from-to)1321-1335
Number of pages15
JournalIEEE Transactions on Wireless Communications
Issue number2
StatePublished - Feb 2021
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


  • Ultra reliable and low-latency communication (URLLC)
  • beamforming
  • nonconvex optimization
  • resource allocation


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