scholarly journals On fractional and semi-soft handover in long term evolution (LTE) networks

2011 ◽  
Author(s):  
Yaseein Soubhi Hussein ◽  
Borhanuddin Mohd Ali ◽  
Pooria Varahram
Keyword(s):  
Long Term Evolution ◽  
Lte Networks ◽  
Soft Handover ◽  
Term Evolution

scholarly journals New Courteous Algorithm for Uplink Scheduling in LTE-Advanced and 5G Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Chafika Tata ◽  
Nassima Fellag ◽  
Michel Kadoch
Keyword(s):  
Long Term Evolution ◽  
Time Interval ◽  
5G Networks ◽  
Lte Networks ◽  
Uplink Scheduling ◽  
Term Evolution ◽  
Radio Access ◽  
Management Scheme ◽  
Wireless Users

The fast evolution of the number of wireless users and the emergence of new multimedia services have motivated third-generation partnership project (3GPP) to develop new radio access technologies. Thus, the carrier aggregation (CA) was introduced from version 10 long-term evolution (LTE), known as long-term evolution-advanced (LTE-A), to meet the increasing demands in terms of throughput and bandwidth and to ensure the Quality of Service (QoS) for different classes of bearers in LTE networks. However, such solution stills inefficient until implementing good resources management scheme. Several scheduling mechanisms have been proposed in the literature, to guarantee the QoS of different classes of bearers in LTE-A and 5G networks. Nevertheless, most of them promote high-priority bearers. In this study, a new approach of uplink scheduling resources has been developed. It aims to ensure service fairness of different traffic classes that allocates bearers over LTE-A and 5G networks. Also, it raises the number of admitted users in the network by increasing the number of admitted bearers through a dynamic management of service priorities. In fact, the low-priority traffic classes, using low-priority bearers, are favoured during a specific time interval, based on the average waiting time for each class. Simulation results show that the QoS parameters were much improved for the low-priority classes without significantly affecting the QoS of high priority ones.

scholarly journals Analysis of handover based on the use of femtocells in LTE networks

2015 ◽  
Vol 1 (2) ◽  
pp. 21
Author(s):  
Ketyllen Da Costa Silva ◽  
Carlos P. Alves da Silva ◽  
Andre C. De Sousa Donza ◽  
Carlos Renato Frances ◽  
Nandamudi L. Vijaykumar
Keyword(s):  
Quality Of Service ◽  
Objective Measure ◽  
Long Term Evolution ◽  
Data Rate ◽  
Lte Networks ◽  
Promising Alternative ◽  
Term Evolution ◽  
Handover Mechanism

One of the key elements in the networks LTE (Long Term Evolution) is the possibility of deploying multiple femtocells for the improvement of coverage and data rate. However, arbitrary overlapping coverage of these cells makes the handover mechanism complex and challenging. In this paper, simulations of deploying LTE femtocells in a scenario were evaluated. With this objective, measure impact and correlation of the use of femtocell parameters of QoS (Quality of Service) and handover. Possible limitations of this integration are discussed. Will be the integration of LTE femtocell a panacea? Despite this promising alternative estimates are fraught with uncertainty. The results show that the use of femtocell got worse on indicators of handover, impact on indicators of QoS.

scholarly journals A Reinforcement Learning Based Intercell Interference Coordination in LTE Networks

2019 ◽  
Vol 11 (1) ◽  
pp. 19 ◽  
Author(s):  
Djorwé Témoa ◽  
Anna Förster ◽  
Kolyang ◽  
Serge Doka Yamigno
Keyword(s):  
Reinforcement Learning ◽  
Long Term Evolution ◽  
Service Improvement ◽  
Interference Coordination ◽  
Lte Networks ◽  
Intercell Interference ◽  
Term Evolution ◽  
Joint Resource Allocation

Long Term Evolution networks, which are cellular networks, are subject to many impairments due to the nature of the transmission channel used, i.e. the air. Intercell interference is the main impairment faced by Long Term Evolution networks as it uses frequency reuse one scheme, where the whole bandwidth is used in each cell. In this paper, we propose a full dynamic intercell interference coordination scheme with no bandwidth partitioning for downlink Long Term Evolution networks. We use a reinforcement learning approach. The proposed scheme is a joint resource allocation and power allocation scheme and its purpose is to minimize intercell interference in Long Term Evolution networks. Performances of proposed scheme shows quality of service improvement in terms of SINR, packet loss and delay compared to other algorithms.

scholarly journals RESOURCE ELEMENT-LEVEL DIMENSIONING OF LONG TERM EVOLUTION NETWORKS

2013 ◽  
Author(s):  
Arshed Oudah
Keyword(s):  
Long Term Evolution ◽  
Mobile Telecommunications ◽  
Element Level ◽  
Lte Networks ◽  
The Third ◽  
Term Evolution ◽  
Air Interface ◽  
Universal Mobile Telecommunications System ◽  
Cellular Technology

Long Term Evolution (LTE) of Universal Mobile Telecommunications System (UMTS) is the latest cellular technology coined by the third Generation Partnership Project (3GPP) and is currently being deployed worldwide. a crucial step towards the successful deployment scenarios of LTE networks is through the use of accurate budgetary and coverage dimensioning formulas of LTE’s physical air-interface channels and signals to guarantee favourable cell footprint and other capacity targets. In this paper, the total physical downlink resources along with their associated powers are derived and computed. Their corresponding overheads are also presented. The provided formulas serve in various network dimensioning campaigns of the LTE systems.  

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