Downlink radio resource allocation in OFDMA-based small cells networks

Keyvan Aghababaiyan, Behrouz Maham

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

Interference management and supporting quality of service (QoS) requirements are the principal challenges for the spectral resource allocation in orthogonal frequency division multiple access small cells networks. In this paper, we propose an algorithm for assigning physical resource block (PRB) with QoS constraints to omit interference among femtocells. We present our resource management method as an optimization problem where interference among femtocells is entirely avoided and multiple QoS are supported. The optimization problem imposes the fairness among different femtocells and maximizes the PRB efficiency. However, this problem is NP-complete, and thus, we propose a greedy algorithm for solving the problem. Simulation results show that the throughput of the greedy algorithm is close to the optimal solution of the optimization problem. Besides, the proposed algorithm improves the network throughput by over 30%-50% in various simulation scenarios with different femtocells densities in comparison to previous methods. Moreover, simulations illustrate the rejection ratio for all classes of services is lower than 3%.

Original languageEnglish
Title of host publication2017 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
Volume2018-January
ISBN (Electronic)9781509050499
DOIs
Publication statusPublished - Jan 31 2018
Event2017 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2017 - Istanbul, Turkey
Duration: Jun 5 2017Jun 8 2017

Other

Other2017 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2017
CountryTurkey
CityIstanbul
Period6/5/176/8/17

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing

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