Queue Aware Resource Optimization in Latency Constrained Dynamic Networks

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Title: Queue Aware Resource Optimization in Latency Constrained Dynamic Networks
Authors: Sugathapala, InoshaGlisic, SavoJuntti, MarkkuShafigh, A. ShamsTran, Le-Nam
Permanent link: http://hdl.handle.net/10197/11907
Date: 3-Sep-2020
Online since: 2021-02-01T17:30:53Z
Abstract: Low latency communications is one of the key design targets in future wireless networks. We propose a queue aware algorithm to optimize resources guaranteeing low latency in multiple-input single-output (MISO) networks. Proposed system model is based on dynamic network architecture (DNA), where some terminals can be configured as temporary access points (APs) on demand when connected to the Internet. Therein, we jointly optimize the user-AP association and queue weighted sum rate of the network, subject to limitations of total transmit power of the APs and minimum delay requirements of the users. The user-AP association is viewed as finding a sparsity constrained solution to the problem of minimizing ℓ q -norm of the difference between queue and service rate of users. Finally, the efficacy of the proposed algorithm in terms of network latency and its fast convergence are demonstrated using numerical experiments. Simulation results show that the proposed algorithm yields up to two-fold latency reductions compared to the state-of-the-art techniques.
Funding Details: Enterprise Ireland
Science Foundation Ireland
University College Dublin
Funding Details: Academy of Finland
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2020 IEEE
Keywords: DelaysOptimizationDNAWireless networksResource managementInterference
DOI: 10.1109/pimrc48278.2020.9217270
Language: en
Status of Item: Peer reviewed
Is part of: 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications
Conference Details: The 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, Virtual Event, 31 August - 3 September 2020
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Electrical and Electronic Engineering Research Collection

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