cogcom 17(11): e3

Research Article

Modeling of Time and Frequency Random Access Network and Throughput Capacity Analysis

Download751 downloads
  • @ARTICLE{10.4108/eai.31-5-2017.152555,
        author={Vincent Savaux and Apostolos Kountouris and Yves Louet and Christophe Moy},
        title={Modeling of Time and Frequency Random Access Network and Throughput Capacity Analysis},
        journal={EAI Endorsed Transactions on Cognitive Communications},
        volume={3},
        number={11},
        publisher={EAI},
        journal_a={COGCOM},
        year={2017},
        month={5},
        keywords={Throughput capacity, Network interference, Occupancy problem, Random access, Cognitive Radio, Sub- Nyquist sampling},
        doi={10.4108/eai.31-5-2017.152555}
    }
    
  • Vincent Savaux
    Apostolos Kountouris
    Yves Louet
    Christophe Moy
    Year: 2017
    Modeling of Time and Frequency Random Access Network and Throughput Capacity Analysis
    COGCOM
    EAI
    DOI: 10.4108/eai.31-5-2017.152555
Vincent Savaux1,*, Apostolos Kountouris2, Yves Louet1, Christophe Moy1
  • 1: Signal, Communication & Embedded Electronics (SCEE) research group/IETR, CentraleSup√©lec, Rennes, France
  • 2: Orange Labs, Grenoble, France
*Contact email: vincent.savaux@b-com.com

Abstract

In this paper, we model the random multi-user multi-channel access network by using the occupancy problem from probability theory, and we combine this with a network interference model in order to derive the achievable throughput capacity of such networks. Furthermore, we compare the randommulti-channel access with a cognitive radio systemin which the users are able to minimize the channels occupancy. Besides, we show that the sampling rate can be reduced under the Nyquist rate if the use of the spectrum resource is known at the gateway side. This scenario is referred as "cognitive radio" context. The mathematical developments and results are illustrated through various simulations results. The proposed model is particularly relevant in analyzing the performance of networks where the users are not synchronized neither in time nor in frequency as it is often the case in various Internet of Things (IoT) applications.