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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 model for the problem corresponds to a system of parallel M/M/1-PS queues, where the macrocell is represented by a multiclass M/M/1-PS queue and each small cell is an energy-aware M/M/1-PS queue with additional states for the idle timer and the so-called setup delay. We apply the theory of MDPs to develop a near-optimal state-dependent policy, both for a weighted sum of the performance and energy as well as for the constrained formulation, where energy is minimized subject to a constraint on the performance. Specifically, we utilize the first step of the well-known policy iteration method under which the routing decision for each arrival requires evaluating the marginal future cost of adding the arrival in the small cell or the macrocell. As our main contribution, we derive the associated value functions and the explicit form of the near-optimal FPI policy. The performance of the policy is illustrated through numerical examples.
Original language | English |
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Title of host publication | IFIP Networking 2018 |
Publisher | IEEE |
Number of pages | 9 |
ISBN (Electronic) | 978-3-903176-08-9 |
DOIs | |
Publication status | Published - 2018 |
MoE publication type | A4 Conference publication |
Event | IFIP Networking - Zurich, Switzerland Duration: 14 May 2018 → 16 May 2018 https://networking.ifip.org/2018/ |
Conference
Conference | IFIP Networking |
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Country/Territory | Switzerland |
City | Zurich |
Period | 14/05/2018 → 16/05/2018 |
Internet address |
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Dive into the research topics of 'Dynamic load balancing in 5G HetNets for optimal performance-energy tradeoff'. Together they form a unique fingerprint.Projects
- 1 Finished
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Innovation of Transmission Technologies towards 5G Networks
Aalto, S. (Principal investigator)
01/02/2015 → 31/12/2017
Project: Academy of Finland: Other research funding