scholarly journals Analysis Of User Throughput Based Predictive Mobility Load Balancing Using Logarithmic Regression Of Reference Signal Received Quality In Long Term Evolution Radio Access Network

2018 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Achmad Rizal Danisya ◽  
Rendy Munadi ◽  
Sofia Naning Hertiana
Keyword(s):  
Load Balancing ◽  
Access Network ◽  
Long Term Evolution ◽  
Traffic Load ◽  
Resource Block ◽  
Radio Access Network ◽  
Term Evolution ◽  
Radio Access ◽  
User Throughput

The improvement of Long Term Evolution (LTE) radio access network services is affecting the increased value of traffic load in its network, which is causing traffic unbalance between cells in LTE Radio Access Network (RAN). Users will be served with ineffective resource block allocation which will make the total of gained throughput are not optimal. A method is required to move network load from overloaded cells to underloaded cells in order to balance the resource block allocation optimally. By using NS-3.26 simulation, User Throughput Based (UTB) predictive Mobility Load Balancing (MLB) method is tested with RandomWalkMobilityModel for each user. This method produces an improvement of 2,29 % in average of total throughput of 63,33 % successful optimization.

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.

User association and load balancing in long term evolution network in Addis Ababa, Ethiopia

AFRICON 2015 ◽  
2015 ◽  
Author(s):  
Dinkisa A. Bulti ◽  
Dereje H. Woldegebreal ◽  
G David Gonzalez ◽  
Beneyam B. Haile ◽  
Jyri Hamalainen
Keyword(s):  
Load Balancing ◽  
Addis Ababa ◽  
Long Term Evolution ◽  
User Association ◽  
Term Evolution ◽  
Long Term Evolution Network

V2V Influence on M2M and H2H Traffics During Emergency Scenarios

2020 ◽  
pp. 93-134
Author(s):  
Ahmad Hani El Fawal ◽  
Ali Mansour ◽  
Mohamad Najem
Keyword(s):  
Network Architecture ◽  
Long Term Evolution ◽  
Limited Bandwidth ◽  
Vehicle To Vehicle ◽  
Term Evolution ◽  
Radio Access ◽  
Framework Model ◽  
Emergency Scenarios ◽  
The Impact

This chapter envisions the challenges that will face the mobile operators such as sending vehicle-to-vehicle (V2V) payloads in form of synchronized storms, the fast saturation of the limited bandwidth of long-term evolution for machines (LTE-M) and narrow band-internet of things (NB-IoT) with the rise number of machine-to-machine (M2M) devices and V2V devices, V2V congestion overload problem in IoT environments specifically during disaster events. It extends a new solution proposed by the authors named Adaptive eNodeB (A-eNB) for both LTE-M and NB-IoT networks to deal with V2V excessive traffic. The A-eNB can solve gradually V2V overload problem, while keeping the human-to-human (H2H) traffic quality of service (QoS) not to be affected badly. It corroborates a new framework model proposed by the authors called coexistence analyzer and network architecture for long-term evolution (CANAL) to study the impact on V2V, M2M, and H2H and mutual influences, based on continuous-time Markov chain (CTMC) to simulate, analyze, and measure radio access strategies.

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