Optimal power allocation for QoS-constrained downlink networks with finite blocklength codes

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

doi:10.1109/WCNC.2018.8377030

Optimal power allocation for QoS-constrained downlink networks with finite blocklength codes

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

Department of Electrical Engineering & Computer Science

Research output: Chapter in Book/Entry/Poem › Conference contribution

4 Scopus citations

Abstract

In this paper, we consider a downlink multiuser network operating with finite blocklength codes under statistical quality of service (QoS) constraints. An optimal power allocation algorithm is studied to maximize the normalized sum throughput under QoS constraints. 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 an optimal algorithm to solve the problem. 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 and blocklength on the performance.

Original language	English (US)
Title of host publication	2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
Volume	2018-April
ISBN (Electronic)	9781538617342
DOIs	https://doi.org/10.1109/WCNC.2018.8377030
State	Published - Jun 8 2018
Event	2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 - Barcelona, Spain Duration: Apr 15 2018 → Apr 18 2018

Other

Other	2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
Country/Territory	Spain
City	Barcelona
Period	4/15/18 → 4/18/18

Keywords

Downlink
Effective capacity
Finite blocklength regime
Multiuser
Power allocation
QoS

ASJC Scopus subject areas

Engineering(all)

Access to Document

10.1109/WCNC.2018.8377030

Cite this

Optimal power allocation for QoS-constrained downlink networks with finite blocklength codes. / Hu, Yulin; Ozmen, Mustafa; Gursoy, Mustafa C et al.
2018 IEEE Wireless Communications and Networking Conference, WCNC 2018. Vol. 2018-April Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6.

Research output: Chapter in Book/Entry/Poem › Conference contribution

Hu, Y, Ozmen, M, Gursoy, MC & Schmeink, A 2018, Optimal power allocation for QoS-constrained downlink networks with finite blocklength codes. in 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018. vol. 2018-April, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018, Barcelona, Spain, 4/15/18. https://doi.org/10.1109/WCNC.2018.8377030

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N2 - In this paper, we consider a downlink multiuser network operating with finite blocklength codes under statistical quality of service (QoS) constraints. An optimal power allocation algorithm is studied to maximize the normalized sum throughput under QoS constraints. 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 an optimal algorithm to solve the problem. 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 and blocklength on the performance.

AB - In this paper, we consider a downlink multiuser network operating with finite blocklength codes under statistical quality of service (QoS) constraints. An optimal power allocation algorithm is studied to maximize the normalized sum throughput under QoS constraints. 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 an optimal algorithm to solve the problem. 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 and blocklength on the performance.

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KW - Effective capacity

KW - Finite blocklength regime

KW - Multiuser

KW - Power allocation

KW - QoS

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Optimal power allocation for QoS-constrained downlink networks with finite blocklength codes

Abstract

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Keywords

ASJC Scopus subject areas

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