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Other literature type . 2019
License: CC BY
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Physical Communication
Article . 2019 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Article . 2019
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Article . 2024
Data sources: DBLP
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Robust matching algorithms for carrier aggregated heterogeneous networks

Authors: Yagmur Sabucu; Ali Emre Pusane; Gunes Karabulut-Kurt;

Robust matching algorithms for carrier aggregated heterogeneous networks

Abstract

Abstract In order to address the increasing demands for high data rates in wireless communications, carrier aggregation (CA) is introduced in Long Term Evolution-Advanced (LTE-A) Release-10 for HetNets, a platform for the implementation of features with new functionalities. One of the major challenges in CA HetNets is to find an appropriate resource allocation algorithm for various nodes with different data rate requirements. Stable matching (SM) algorithm is one of the most popular allocation algorithm in the last decade. In this study, an important variation of the many-to-one SM (MSM) algorithm is proposed as partial feedback SM (PFM) algorithm, to achieve fair and stable subcarrier allocation by considering rate requirements in a HetNet. The stability concerns for CA HetNets are investigated for the proposed variation of the MSM algorithm in order to determine the rate satisfaction of both user equipments and the entire HetNet. The rate and fairness performances of the proposed algorithm are also compared with the optimal rate algorithm (ORA), which achieves the maximum rate, and with the proportional fair (PF) algorithm, which is widely used for fair resource allocation problems. Computer simulations show that the proposed variations of SM algorithms are very robust even with partial channel state information (CSI) in terms of rate and fairness.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green