Multimedia Broadcasting in LTE Networks

2011 ◽  
pp. 269-289 ◽  
Author(s):  
Antonios Alexiou ◽  
Christos Bouras ◽  
Vasileios Kokkinos ◽  
Andreas Papazois ◽  
George Tsichritzis
Keyword(s):  
Mobile Communications ◽  
Spectral Efficiency ◽  
Long Term Evolution ◽  
Single Frequency ◽  
Lte Networks ◽  
Single Frequency Network ◽  
Multiple Cells ◽  
Multicast Services ◽  
Selection Of

Long Term Evolution (LTE) constitutes the latest step before the 4th generation (4G) of radio technologies designed to increase the capacity and speed of mobile communications. To support Multimedia Broadcast/Multicast Services (MBMS), LTE offers the functionality to transmit MBMS over Single Frequency Network (MBSFN), where a time-synchronized common waveform is transmitted from multiple cells for a given duration. In MBSFN transmissions, the achieved Spectral Efficiency (SE) is mainly determined by the Modulation and Coding Scheme (MCS) selected. This study proposes and evaluates four approaches for the selection of the MCS that will be utilized for the transmission of the MBSFN data. The evaluation of the approaches is performed for different users’ distribution and from a SE perspective. Based on the SE measurement, the approach that either maximizes or achieves a target SE for the corresponding users’ distribution is determined.

Modulation and coding scheme selection in multimedia broadcast over a single frequency network-enabled long-term evolution networks

2011 ◽  
Vol 25 (12) ◽  
pp. 1603-1619 ◽  
Author(s):  
Antonios Alexiou ◽  
Christos Bouras ◽  
Vasileios Kokkinos ◽  
Andreas Papazois ◽  
George Tsichritzis
Keyword(s):  
Long Term Evolution ◽  
Single Frequency ◽  
Single Frequency Network ◽  
Coding Scheme ◽  
Term Evolution ◽  
Scheme Selection

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 decision making in downlink Long Term Evolution networks

2015 ◽  
Author(s):  
◽  
Israel Oludayo Elujide
Keyword(s):  
Spectral Efficiency ◽  
System Performance ◽  
Long Term Evolution ◽  
Physical Layer ◽  
System Level ◽  
Handover Decision ◽  
Local Averaging ◽  
Term Evolution ◽  
Filtering Technique

This dissertation reports on handover in downlink Long Term Evolution (LTE) networks. The LTE is seen as the technology that will bring about Fourth Generation (4G) mobile broadband experience. The necessity to maintain quality of service for delay sensitive data services and applications used by mobile users makes mobility and handover between base stations in the downlink LTE very critical. Unfortunately, several handover schemes in LTE are based on Reference Symbols Received Power (RSRP) which include measurement error due to limited symbols in downlink packets. However, prompt and precise handover decision cannot be based on inaccurate measurement. Therefore, the downlink LTE intra-system handover is studied with focus on user measurement report. The study centers on preparation stage of the LTE handover procedure. Two different types of physical layer filtering technique namely linear averaging and local averaging are focused upon among others investigated. The performance of LTE conventional physical layer filtering technique, linear filtering, is compared with an alternative technique called local averaging. The output of each physical layer filtering is then used for LTE standardized radio resource layer filtering (otherwise called L3 filtering). The analysis of results from handover decision is based on simulations performed in an LTE system-level simulator. The performance metrics for the results are evaluated in terms of overall system and mobility-related performance. The system performance is based on spectral efficiency and throughput while mobility-related performance is based on handover failure. The performance comparison of the results shows that local averaging technique provides improved system performance of about 51.2 % for spectral efficiency and 42.8% cell-edge throughput for high speed users. Local averaging also produces a reduction of about 26.95% in average number of handover failure when L 3 filtering is applied for low speed mobile terminal. This result confirms that both averaging techniques are suitable for LTE network. Moreover, in the case of high mobility local averaging tends to be better than linear averaging.

Research on the Technology of Service Pricing Optimization Strategy for Mobile Communication Enterprise

2015 ◽  
Vol 713-715 ◽  
pp. 1427-1430
Author(s):  
Ping Zhang
Keyword(s):  
Mobile Communication ◽  
Mobile Communications ◽  
Pricing Strategy ◽  
Mobile Service ◽  
Optimization Strategy ◽  
Service Pricing ◽  
The Cost ◽  
Pricing Optimization ◽  
Selection Of

Price is the main competition means in China's mobile communications market, scientific pricing methods and strategies are important issues must be resolved by operators. Meanwhile, the pricing strategy selection of service product is an important decision factor in mobile communication business marketing. Based on this, this paper through analyzing on the cost-plus pricing strategy, competition-oriented pricing strategy and customer-oriented pricing strategy, consider mobile communication enterprise pricing strategy should be selected according to their own environment and the different stages of the mobile service growth, so that pricing is more in line with the subjective wishes of the client, and favorable for long-term interests of the enterprise.

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