• DocumentCode
    248571
  • Title

    Downlink spectrum allocation in 5G HetNets

  • Author

    Omar, Tamer R. ; Kamal, Ahmed E. ; Chang, J.M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • fYear
    2014
  • fDate
    4-8 Aug. 2014
  • Firstpage
    12
  • Lastpage
    17
  • Abstract
    Fifth generation mobile systems (5G) target an Average Area Spectral Efficiency (AASE) over hundred Gbps/km2/user for future mobile systems with an Energy Dissipation (ED) per unit area similar to the current ED levels. Heterogeneous networks (HetNets) with high density of deployed small cells are currently adopted to aid in achieving the target ED and AASE by 5G. Limited spectrum availability requires efforts to manage the spectrum utilization in such dense deployments. Development of new network architectures and Radio Resources Management (RRM) schemes is important to address such challenges. The objective of this work is to propose a new architecture that consists of a Decision Support System (DSS) and a data collection system to dynamically manage and control the spectrum allocation process. The DSS generates spectrum allocation patterns using non-parametric estimation and statistical analysis for the collected data. A new RRM model using a Plan, Do, Control and Act (PDCA) cycle is proposed as a new self optimization module in the self organizing network framework. The PDCA model utilizes the new architecture and the allocation patterns to dynamically predict future spectrum allocation. Results show improvement in the AASE achieved using the PDCA model compared to conventional spectrum allocation.
  • Keywords
    decision support systems; mobile radio; radio spectrum management; statistical analysis; telecommunication network management; 5G HetNets; average area spectral efficiency; data collection system; decision support system; downlink spectrum allocation; energy dissipation; fifth generation mobile systems; heterogeneous networks; nonparametric estimation; radio resources management; spectrum utilization; statistical analysis; Decision support systems; Dynamic scheduling; Interference; Optimization; Radio spectrum management; Resource management; Stochastic processes; 5G; AASE; Dynamic Spectrum Management; HetNets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Mobile Computing Conference (IWCMC), 2014 International
  • Conference_Location
    Nicosia
  • Print_ISBN
    978-1-4799-7324-8
  • Type

    conf

  • DOI
    10.1109/IWCMC.2014.6906325
  • Filename
    6906325