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Adaptive Resource Management Strategy in Practical Multi-Radio Heterogeneous Networks

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Adaptive Resource Management Strategy in Practical Multi-Radio Heterogeneous Networks. / Gerasimenko, Mikhail; Moltchanov, Dmitri; Andreev, Sergey; Koucheryavy, Yevgeni; Himayat, Nageen; Yeh, Shu-Ping; Talwar, Shilpa.

In: IEEE Access, Vol. 5, 09.12.2016, p. 219-235.

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@article{999f19c945e5468b98d5f1cd78ebe133,
title = "Adaptive Resource Management Strategy in Practical Multi-Radio Heterogeneous Networks",
abstract = "The ongoing evolution of mobile wireless communications has resulted in the vision of a multi-radio heterogeneous network (HetNet) that comprises cells of different scales controlled by various radio access technologies (RATs). These emerging architectures call for more advanced methods of cross-RAT radio resource allocation, which are the primary focus of this article. In this work, based on network flow optimization techniques, we adapt the concept of weighted - fairness for efficient resource control in future HetNets. The corresponding scheme relies on a certain degree of centralized control of the HetNet architecture and allows to achieve the desired balance between the overall system throughput and the fairness of the resulting resource allocations based on a single parameter. Our analytical findings, validated with detailed system-level simulations, are expected to further advance the understanding of feasible resource control strategies in intelligent multi-radio networks, as well as help optimize the performance of next-generation HetNets.",
keywords = "5G, capacity improvement, fairness, heterogeneous networks, multi-RAT, resource allocation",
author = "Mikhail Gerasimenko and Dmitri Moltchanov and Sergey Andreev and Yevgeni Koucheryavy and Nageen Himayat and Shu-Ping Yeh and Shilpa Talwar",
year = "2016",
month = "12",
day = "9",
doi = "10.1109/ACCESS.2016.2638022",
language = "English",
volume = "5",
pages = "219--235",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers",

}

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TY - JOUR

T1 - Adaptive Resource Management Strategy in Practical Multi-Radio Heterogeneous Networks

AU - Gerasimenko, Mikhail

AU - Moltchanov, Dmitri

AU - Andreev, Sergey

AU - Koucheryavy, Yevgeni

AU - Himayat, Nageen

AU - Yeh, Shu-Ping

AU - Talwar, Shilpa

PY - 2016/12/9

Y1 - 2016/12/9

N2 - The ongoing evolution of mobile wireless communications has resulted in the vision of a multi-radio heterogeneous network (HetNet) that comprises cells of different scales controlled by various radio access technologies (RATs). These emerging architectures call for more advanced methods of cross-RAT radio resource allocation, which are the primary focus of this article. In this work, based on network flow optimization techniques, we adapt the concept of weighted - fairness for efficient resource control in future HetNets. The corresponding scheme relies on a certain degree of centralized control of the HetNet architecture and allows to achieve the desired balance between the overall system throughput and the fairness of the resulting resource allocations based on a single parameter. Our analytical findings, validated with detailed system-level simulations, are expected to further advance the understanding of feasible resource control strategies in intelligent multi-radio networks, as well as help optimize the performance of next-generation HetNets.

AB - The ongoing evolution of mobile wireless communications has resulted in the vision of a multi-radio heterogeneous network (HetNet) that comprises cells of different scales controlled by various radio access technologies (RATs). These emerging architectures call for more advanced methods of cross-RAT radio resource allocation, which are the primary focus of this article. In this work, based on network flow optimization techniques, we adapt the concept of weighted - fairness for efficient resource control in future HetNets. The corresponding scheme relies on a certain degree of centralized control of the HetNet architecture and allows to achieve the desired balance between the overall system throughput and the fairness of the resulting resource allocations based on a single parameter. Our analytical findings, validated with detailed system-level simulations, are expected to further advance the understanding of feasible resource control strategies in intelligent multi-radio networks, as well as help optimize the performance of next-generation HetNets.

KW - 5G

KW - capacity improvement

KW - fairness

KW - heterogeneous networks

KW - multi-RAT

KW - resource allocation

U2 - 10.1109/ACCESS.2016.2638022

DO - 10.1109/ACCESS.2016.2638022

M3 - Article

VL - 5

SP - 219

EP - 235

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

ER -