Performance Impact of Background Traffic on Broadcast-like Services in Converged 5G Network Environments | IEEE Conference Publication | IEEE Xplore

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


Abstract:

This paper analyzes the performance of a Convergent Architecture for Broadcast Services (CABS) for heterogeneous networks. So far, this architecture has been introduced w...Show More

Abstract:

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.
Date of Conference: 27-29 October 2020
Date Added to IEEE Xplore: 19 March 2021
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Conference Location: Paris, France

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