Optimal energy-aware load balancing and base station switch-off control in 5G HetNets

Pasi Lassila, Misikir Eyob Gebrehiwot, Samuli Aalto

Research output: Contribution to journalArticleScientificpeer-review

Abstract

We consider optimal energy-aware load balancing of elastic downlink data traffic inside a macrocell with multiple small cells within its coverage area. The system is modeled as a set of parallel queues. In particular, the model of the small cell includes the setup delay resulting from activating the base station after being placed in a low power off state and the idle timer controlling the amount of time to wait before being switched off. We apply the theory of MDPs to develop state-dependent dynamic policies for controlling both the routing of the arrivals as well as the length of the idle timer that minimizes the weighted sum of energy and performance. In particular, we show that in the optimal policy the idle timer control can be simplified to selecting a value arbitrarily close to zero or infinite. Additionally, by utilizing the first step of the well-known policy iteration method, we develop an explicit near-optimal dynamic policy for routing the arrivals and also for determining the idle timer configuration of the system, based on the expressions for the future marginal costs. The performance of the policy is illustrated through numerical examples.
Original languageEnglish
Pages (from-to)10-22
Number of pages13
JournalComputer Networks
Volume159
DOIs
Publication statusPublished - 4 Aug 2019
MoE publication typeA1 Journal article-refereed

Keywords

  • HetNets
  • load balancing
  • performance-energy tradeoff
  • parallel queues
  • Markov Decision Processes

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  • Projects

    Innovation of Transmission Technologies towards 5G Networks

    Aalto, S., Lassila, P. & Osti, P.

    01/02/201531/12/2017

    Project: Academy of Finland: Other research funding

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