Optimal Power Allocation for QoS-Constrained Downlink Multi-User Networks in the Finite Blocklength Regime

Yulin Hu, Mustafa Ozmen, Mustafa C Gursoy, Anke Schmeink

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

In this paper, we consider a downlink multiuser network operating with finite blocklength 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 finite blocklength (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, blocklength, the number of users and the source burstiness on the performance.

Original languageEnglish (US)
JournalIEEE Transactions on Wireless Communications
DOIs
StateAccepted/In press - Jul 3 2018

Keywords

  • Downlink
  • downlink
  • effective capacity
  • Encoding
  • Error probability
  • finite blocklength
  • Markovian sources
  • power allocation
  • QoS
  • Quality of service
  • Resource management
  • Throughput
  • Transmitters

ASJC Scopus subject areas

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

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