scholarly journals Availability and Fade Margin Calculations for 5G Microwave and Millimeter-Wave Anyhaul Links

2019 ◽  
Vol 9 (23) ◽  
pp. 5240 ◽  
Author(s):  
Attila Hilt
Keyword(s):  
Fiber Optics ◽  
Millimeter Wave ◽  
High Speed ◽  
Wide Spectrum ◽  
Average Distance ◽  
Long Term Evolution ◽  
Good Opportunity ◽  
Term Evolution ◽  
Radio Access

The deployment of new radio access technologies always provides a good opportunity and timing to optimize the existing mobile front- and backhaul (commonly called “anyhaul”). The legacy systems (Long-Term Evolution (LTE), High-Speed Packet Access (HSPA), third-generation mobile (3G), second-generation mobile (2G)) already extensively utilize the transmission and transport capacities of the mobile anyhaul. With the current launch of 5G (fifth-generation mobile) and recent LTE-A (Advanced Long-Term Evolution), additional new transmission capacities are required again. Depending on the traffic and network topology, additional cell sites are built, and even more locations are connected with fiber optics. The existing microwave and millimeter-wave links are rotated toward those aggregation points that already have optical-fiber access. Due to the increased cell-site density, the average distance of the radio access links can be reduced by network and topology optimization. The reduced hop lengths combined with adaptive modulation and automatic power control bring an opportunity for capacity increase in shortened radio links. Links newly deployed for 5G find a wide spectrum in the millimetric V, E, W, and D frequency bands. This paper discusses the availability and hop-length targets of the anyhaul links that should be carefully kept by proper planning and monitoring.

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.

Long term evolution in high speed railway environments: Feasibility and challenges

2013 ◽  
Vol 18 (2) ◽  
pp. 237-253 ◽  
Author(s):  
Jaime Calle-Sanchez ◽  
Mariano Molina-Garcia ◽  
Jose I. Alonso ◽  
Alfonso Fernandez-Duran
Keyword(s):  
High Speed ◽  
Long Term Evolution ◽  
High Speed Railway ◽  
Term Evolution

scholarly journals STUDI KINERJA KENDALI DAYA KANAL UPLINK 4G LTE BERDASARKAN SIGNAL TO INTERFERENCE RATIO (SIR)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Sapta Nugraha
Keyword(s):  
Power Control ◽  
High Speed ◽  
Power Level ◽  
Mobile Station ◽  
Reference Value ◽  
Data Access ◽  
Long Term Evolution ◽  
Term Evolution ◽  
4G Lte

Abstract4G Long Term Evolution (LTE) has a standard for wireless communication with high-speed data access on cellular phones which have standard parameter i.e. power control. Power control is a method to avoid interference inter-users, as a result of power variations. Interference inter-users will cause performance limitations of the quality of service telecommunications operator. In this paper, we will design power control on the uplink channel based on the Signal to Interference Ratio (SIR) so that power level of mobile station (MS) are approximately equal. Simulation results show that power of MS can reach -7 dB, average time above 17 ms. The results of the SIR can order MS to equalize the SIR power levels transmitted by some MS with SIR reference value. Keywords: power control, uplink channel, SIR, mobile station Abstrak4G Long Term Evolution (LTE) memiliki standar komunikasi nirkabel akses data berkecepatan tinggi pada telepon seluler yang memiliki parameter standar yaitu kendali daya. Kendali daya merupakan metode untuk menghindari interferensi antar pengguna akibat variasi daya. Interferensi antar pengguna menyebabkan keterbatasan kinerja kualitas layanan operator telekomunikasi. Pada penelitian ini, akan dirancang kendali daya kanal uplink berdasarkan SIR agar daya mobile station (MS) mendekati sama. Hasil simulasi menunjukkan bahwa daya MS dapat mencapai -7 dB, rerata waktu di atas 17 ms. Hasil menunjukkan SIR dapat memerintahkan MS menyamakan daya yang ditransmisikan beberapa MS dengan nilai SIR referensi. Kata Kunci: kendali daya, kanal uplink, SIR, mobile station

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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