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.Research output: Contribution to journal › Article › Scientific › peer-review
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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 -