Performance Impact of Background Traffic on Broadcast-like Services in Converged 5G Network Environments

This paper analyzes the performance of a Convergent Architecture for Broadcast Services (CABS) for heterogeneous networks. So far, this architecture has been introduced with a generic application framework, it has been optimized towards the energy efficiency in 5G and it has been complemented with t...

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Bibliographic Details
Main Authors: Sanchez, Jon Montalban, Muntean, Gabriel-Miro, Buceta, Pablo Angueira
Format: Conference Proceeding
Language:English
Subjects:
5G mobile communication
ATSC 3.0
Broadband communication
congestion
convergence
energy
heterogeneous networks
LTE
Performance evaluation
QoS
Quality of service
Radio access networks
Receivers
Throughput
utility-function
WLAN
Online Access:Request full text
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Summary:This paper analyzes the performance of a Convergent Architecture for Broadcast Services (CABS) for heterogeneous networks. So far, this architecture has been introduced with a generic application framework, it has been optimized towards the energy efficiency in 5G and it has been complemented with the Performance and Energy-aware Access (PEC) network selection algorithm. In this work, the previous performance analysis is extended by measuring the impact of background traffic in the proposed architecture. The main metrics for the evaluation will be the throughput and the network congestion on a more complex scenario, where PEC and non-PEC users coexist in the same coverage area and radio access networks. The results show that a convergent framework does not only provide seamless connectivity to the PEC UEs in the most challenging situations, but also can help offloading the nearly saturated networks with an important presence of non-PEC devices. Eventually, it is also demonstrated that this solution can help guaranteeing the fairness among users, providing a similar Quality of Service (QoS) in very crowded environments with heavy linear video consumption.
ISSN:2155-5052
DOI:10.1109/BMSB49480.2020.9379846