QoS-aware downlink radio resource management in OFDMA-based small cells networks

Keyvan Aghababaiyan, Behrouz Maham

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)


Interference management and supporting quality-of-service (QoS) requirements are the main challenges for the spectral resource allocation in orthogonal frequency division multiple access (OFDMA) small cells networks. In this study, the authors propose an algorithm for assigning physical resource block (PRB) with QoS constraints to eliminate interference among femtocells. They formulate the proposed resource allocation scheme as an optimisation problem where interference among femtocells is entirely avoided and multiple QoS for different services are supported. The proposed optimisation problem imposes the fairness among different femtocells and maximises the PRB efficiency. However, this problem is NP-complete, and thus, they offer a greedy algorithm for solving the problem. Simulation results show the throughput of their greedy algorithm is close to the optimal solution of the optimisation problem. Moreover, the proposed algorithm improves the network throughput by over 30-50% in different simulation scenarios with various femtocells densities in comparison to the previous methods. Furthermore, simulations illustrate the rejection ratio for all classes of services is lower than 3%. Besides, the delays of different services are lower than the delay constraints.

Original languageEnglish
Pages (from-to)441-448
Number of pages8
JournalIET Communications
Issue number4
Publication statusPublished - Mar 6 2018

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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