Performance Model of a WIMAX 2.0 All-IP 4G System

Zreikat, Aymen I.; Aldmour, Ismat; Al‐Begain, Khalid

doi:10.1007/s11277-013-1008-0

Cited by 3 publications

(1 citation statement)

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“…According to the modulation, in LTE, 3 zones are assumed in this analysis (Figure 1). In this model, we are more concerned with the arrival to each zone rather than the area of the zone as the area of the zone depends on the demographical distribution of users over the area served by the cell (Zreikat 2013). Therefore, we assume that the arrival rate to the cell is Poisson arrival with inter-arrival time λ and proportional to the areas of the zones (α i .…”

Section: Modelling Assumptionsmentioning

confidence: 99%

Performance Evaluation Of Downlink LTE-Advanced CELL By MOSEL-2 Language

Zreikat¹

2015

ECMS 2015 Proceedings Edited By: Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova

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LTE or the Long Term Evolution is the biggest jump on the evolution path from 3G towards 4G, whereby data rates are 10x those of 3G using an all packet network. LTE-advanced is a 4G recognized mobile technology satisfying the IMT-Advanced of the ITU, which will provide peak data rates in the order of 1 Gbps on the downlink and 500 Mbps on the uplink. In this work, performance evaluation of one LTE cell with three types of service (i.e. content download, video streaming and Voice over LTE (VoLTE)) will be investigated via model using MOSEL-2 language. The LTE cell will be divided into three zones according to LTE-Advanced modulation scheme, which can be quadrature phase-shift keying (QPSK), 16-phase quadrature amplitude modulation (16QAM), or 64-state quadrature amplitude modulation (64QAM) depending on the speed needs. The related performance measures of interest will be studied such as: blocking of the cell, utilization, the average bit rate per cell, throughput, aggregate average bit rate per cell to all zones as well as the aggregate average bit rate per service in each zone. The suggested model and the investigated performance measures of this research work can be useful to the planning department of mobile operators as it may provide an easy way of comparing service deployment scenarios.

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Section: Modelling Assumptionsmentioning

confidence: 99%