Ridha Nasri

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The long-Term Evolution (LTE) of the 3GPP (3 rd Generation Partnership Project) radio access network is in early stage of specification. Self-tuning and self-optimisation algorithms are currently studied with the aim of enriching the LTE standard. This paper investigates auto-tuning of LTE mobility algorithm. The auto-tuning is carried out by adapting(More)
The problem of dynamic load balancing in heterogeneous networks is investigated. The sub-systems considered are a UMTS network with WLAN hotspots. A load balancing algorithm is first proposed that can push traffic between the two sub-systems according to load conditions and predetermined load thresholds. To adapt the algorithm to traffic condition, the load(More)
—In recent years, there has been an increasing awareness to traffic localization techniques driven by the emergence of heterogeneous networks (HetNet) with small cells deployment and the green networks. The localization of hotspot data traffic with a very high accuracy is indeed of great interest to know where the small cells should be deployed and how can(More)
—We study, in this paper, the impact of imperfect small cell positioning with respect to traffic hotspots in cellular networks. In order to derive the throughput distribution in macro and small cells, we firstly perform static level analysis of the system considering a non-uniform distribution of user locations. We secondly introduce the dynamics of the(More)
—Explicit derivation of interferences in hexagonal wireless networks has been widely considered intractable and requires extensive computations with system level simulations. In this paper, we fundamentally tackle this problem and explicitly evaluate the downlink Interference-to-Signal Ratio (ISR) for any mobile location m in a hexagonal wireless network,(More)
This paper analyses the possibility and advantages of providing on-demand data warehousing as an attempt to reach a new level of business intelligence. Providing data warehousing as a service is primarily aimed at medium and small business organizations, which have large volume of data but are incapable of having a suitable data warehousing infrastructure.(More)