Optimal power allocation for qos-constrained downlink multi-user networks in the finite blocklength regime

Yulin Hu, Mustafa Ozmen, M. Cenk Gursoy, Anke Schmeink

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

In this paper, we consider a downlink multiuser network operating with finite blocklength (FBL) codes under statistical quality of service (QoS) constraints. Optimal power allocation algorithms are studied to maximize the normalized sum throughput under QoS constraints, while considering different types of data arrivals, namely, constant-rate, Markov, and Markov-modulated Poisson arrivals. We first determine the FBL throughput formulations and subsequently state optimization problems. We show the convexity of the power allocation problem under certain conditions and propose optimal algorithms (for scenarios with different data arrivals). In addition, the FBL performance of equal power allocation and a sub-optimal power allocation algorithm is discussed. Via numerical analysis, we demonstrate the performance improvements with the optimal power allocation. In addition, we provide interesting insights on the system behavior by characterizing the impact of the error probability, the QoS exponent, the blocklength, the number of users, and the source burstiness on the performance.

Original languageEnglish (US)
Article number8402240
Pages (from-to)5827-5840
Number of pages14
JournalIEEE Transactions on Wireless Communications
Volume17
Issue number9
DOIs
StatePublished - Sep 2018

Keywords

  • Effective capacity
  • Markovian sources
  • QoS
  • downlink
  • finite blocklength
  • power allocation

ASJC Scopus subject areas

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

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