Nawel Zangar

Service differentiation strategy based on MACB factor for M2M Communications in LTE-A Networks

One of the promising technologies which is being regarded in the future 5G standard long Term Evolution (LTE) Release 13 is Machine-to-Machine or M2M communications. It represents a key component of Internet of Things (IoT) and smart spaces. One of the most difficult challenges to support M2M communications is their huge number compared to available radio resources. Hence, to deal with random access channel (RACH) overload and to better control the access in LTE-A Networks, the 3GPP proposed the Access Class Barring (ACB) factor concept. In this paper, we proposed an algorithm to improve this method based on adaptive multiple ACB factors, according to M2M traffic category with respect to their access delay budget and drop rate (QoS parameters). Simulations were done for testing the effectiveness of our MACB scheme and show that using multiples ACB factors and dynamically adjusting them to the congestion level in addition to traffic type category increases the access probability and reduces overload. The obtained results were then compared to the basic ACB method and show that the access probability increases especially for high priority traffic.

Design, mobility management and analysis of a hybrid WiMAX/satellite network

In this paper we propose a hybrid radio access network architecture that aims to connect remote areas to broadband networks. The proposed architecture consists in a WiMAX network for final users which hence can be connected to the internet backbone. In the other hand the WiMAX base stations are connected via the satellite to the wired network to circumvent mobility and long distance issues. To allow routing optimisation and mobility support, mobility management protocols were applied in a hierarchical architecture with a macro and micro handover functions. Performance analysis is given to study the interest of such radio access network.

Network Architecture Scenarios, Protocols Stack and Performance Analysis in USRAN

Universal Mobile Telecommunication System (UMTS) is in growth through enormous variety of applications and interactive services. In this work we propose a complement services and a complete access anywhere and any time to the UMTS services. UMTS involves a satellite segment, which complements the terrestrial one to offer a global mobile communication service. The satellite component aims to extend and enhance the existent UMTS terrestrial radio access network (UTRAN), so it will be referred to as UMTS satellite radio access network (USRAN). In this paper alternatives architecture scenarios are proposed and analysed with their respective protocols stack and performance testing

UMTS integration with satellite component design, protocol architecture and performance analysis

Third generation network (UMTS) is aiming at the realisation of a global coverage and seamless services with enormous variety of applications and interactive services. One of their service objectives is to achieve global roaming of UMTS users, and hence provide rapid deployment of UMTS services over large geographical areas so increase the development of telecommunication services in growing and developing countries. To achieve this goal, satellite component will play a primordial role in order to extend and enhance the existent UMTS terrestrial radio access network (UTRAN), so it will be referred to as UMTS satellite radio access network (USRAN) [1]. UMTS involves a satellite segment which complements the terrestrial one to offer a global mobile communication service. In this paper we describe two alternatives network architectures for satellite integration with UMTS terrestrial radio access network and their respective protocols stacks. Performance analysis and testing were done using NS2 simulator for voice application as well as for data transfer application.

A novel LTE-A real time scheduler: Reception time estimation

LTE (Long Term Evolution) is a broadband wireless communication specified by the 3GPP (Third Generation Partnership Project) on the way towards fourth-generation mobile. User traffic can be classified in two main classes which are RT (Real Time) and Non-RT applications. Many schedulers (in both Uplink and Downlink) have been proposed for both types of traffics. In this paper, we intend to present a new strategy of downlink scheduling. It unites both types of schedulers. Our main object is to make our scheduler effective for RT applications as well as for Non-RT submissions. Our main contribution is that we estimate the time needed for a real time packet to be successfully received by its destination. This was basically done by including a new parameter called Approximated Reception Time.

Adaptive multiple Access Class Barring factors for M2M communications in LTE-A Networks

In this paper we propose an algorithm based on adaptive multiple Access Class Barring MACB factors, according to M2M traffic category in order to overcome the Random Access (RA) overload in LTE-A Networks. Simulations were done for testing the performance of our MACB scheme and show that using multiples ACB factors, and dynamically adapt them to the congestion level in addition to traffic type category increase the access probability and reduce overload.

Multi user diversity for enhanced spectral efficiency in LTE-A

A good scheduler must respect requirements fixed by the 3GPP. Spectral efficiency may be assured by assigning each RB to the user that is predictable to exploit it at the best. The spectral efficiency guarantee may maximize the cell capacity. Similarly, assuring others requirements, which are fairness, computational complexity, cell-edge coverage, QoS provisioning, and energy savings can be achieved at the cost of reducing the overall cell capacity. Many scheduling strategies were proposed with the aim of finding a trade-off among the system spectral efficiency and all other LTE Advanced requirements. Nevertheless, this requirement steel not satisfied, especially with the continuous growth of connected devices and requirements.

Resources Allocation and Performance Analysis in S-UMTS Network

In wireless systems, the radio resources are precious, and available bandwidth is shared between users in a given radio cell. Our objective is to define a resource allocation schemes, to permit an efficient sharing of uplink bandwith between different supported traffic categories. So call admission control procedure can be defined. In this work analytical Markov model was proposed, in order to define a resources allocation scheme for voice and data traffic integration in heterogeneous satellite- UMTS network (S-UMTS).

PLR-delay aware downlink scheduler (PDADS): A novel scheme based on packet prediction mechanism

In a previous proposal, we propose a scheduler that enhances the usage of the radio blocks (RBs). This paper consists of an extension of our previous scheme in order to find a good trade-off between both the delay and the PLR. The proposition consists of a scheduler based on the packet prediction mechanism (PPM). This scheduler provides the exact time at which a flow has to be served. Further, several simulations are launched in order to evaluate the performance of our proposition. Captured results are followed by a comparative study with some reported schedulers.

Highway and rate prediction downlink scheduler (HRPDS) for LTE-A real time applications

A Long Term Evolution Advanced (LTE-A) downlink scheduler must guarantee the Quality of Service (QoS) provisioning. Existing schedulers consider the Channel Quality Indicator (CQI) reports to determine their priority rules. Nevertheless, these reports may not be sufficiently accurate. In addition, existing scheduling policies fail to provide a good tradeoff among low Packet Loss Ratio (PLR) and bounded delay, which is primordial in QoS provisioning. In this paper, we propose a new LTE-A downlink scheduler based on rate prediction. The proposal consists of a semipersistent downlink scheduler oriented for Real time (RT) applications. It is based on an algorithm called Predicted Bit-Rate (PBR). The proposed scheduler is called Highway and Rate Prediction Downlink Scheduler (HRPDS). The main contribution targeted in this paper is guaranteeing an enhanced trade-off between low PLR and bounded delay. In addition, we support prediction in an aim to guarantee a more accurate resource assignment. Further, analytical study shows that the proposal is consistent in terms of QoS provisioning. Simulation results validate the analytical study and prove that the proposed scheduler outperforms the existing schedulers.