Heterogeneous next-generation wireless network interference model-and its applications

Nurul H. Mahmood*, Ferkan Yilmaz, Mohamed Slim Alouini, Geir E. Øien

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

Next-generation wireless systems facilitating better utilisation of the scarce radio spectrum have emerged as a response to inefficient and rigid spectrum assignment policies. These are comprised of intelligent radio nodes that opportunistically operate in the radio spectrum of existing primary systems, yet unwanted interference at the primary receivers is unavoidable. In order to design efficient next-generation systems and to minimise the adverse effect of their interference, it is necessary to realise how the resulting interference impacts the performance of the primary systems. In this work, a generalised framework for the interference analysis of such a next-generation system is presented where the nextgeneration transmitters may transmit randomly with different transmit powers. The analysis is built around a model developed for the statistical representation of the interference at the primary receivers, which is then used to evaluate various performance measures of the primary system. Applications of the derived interference model in designing the next-generation network system parameters are also demonstrated. Such approach provides a unified and generalised framework, the use of which allows a wide range of performance metrics can be evaluated. Findings of the analytical performance analyses are confirmed through extensive computer-based Monte-Carlo simulations.

Original languageEnglish
Pages (from-to)563-575
Number of pages13
JournalTransactions on Emerging Telecommunications Technologies
Volume25
Issue number5
DOIs
Publication statusPublished - May 2014
Externally publishedYes

Funding

This work was conducted while N. H. Mahmood was a visiting student at KAUST as part of his studies at NTNU and was supported jointly by the Research Council of Norway under the NORDITE/VERDIKT programme, Project CROPS2 (Grant 181530/S10), KAUST and AAU.

FundersFunder number
Norges Teknisk-Naturvitenskapelige Universitet
Aalborg Universitet
King Abdullah University of Science and Technology
Norges Forskningsråd181530/S10

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