Evaluation and prospects from a measurement campaign on real multimedia traffic in LTE vs. UMTS

Fowler, Scott; Sarfraz, Jalal; Abbas, Muhammad Muddassir; Bergfeldt, Erik; Angelakis, Vangelis

doi:10.1109/vitae.2014.6934475

Cited by 9 publications

(6 citation statements)

References 13 publications

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“…Since the data was so large, the bin sizes in some instances were so small that the resulting densities went beyond 1. But when we check the CDF, we see that the total probabilities add up to 1 which confirms that our results are correct [10]. Initially, Matlab codes that we ran produced PDF graphs that were discrete time in natures.…”

Section: A Traffic Analysis Methodologiessupporting

confidence: 72%

Gaussian semi-Markov model based on real video multimedia traffic

Fowler

Sarfraz

Abbas

et al. 2015

2015 IEEE International Conference on Communications (ICC)

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Abstract-The 3rd Generation Partnership Project (3GPP) introduced the new radio access technology, LTE (Long Term Evolution) and LTE-Advanced, which has the capability to provide larger bandwidth and low latencies on a wireless network in order to fulfill the demand of Users' Equipment (UEs) with acceptable Quality of Service (QoS). One of the data-heavy applications that has exploded on the market is Video. This calls for accurate modeling of video traffic. To ensure the quality and correctness of complex systems with Video traffic, it is important to evaluate the behavior of the traffic in the heterogeneous environment. This paper presents measurements on LTE Video traffic which were performed in a real environment. We derived a semi-Markov model which accurately reproduces the statistics of composite Video measurements over LTE network.

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Section: A Traffic Analysis Methodologiessupporting

confidence: 72%

Gaussian semi-Markov model based on real video multimedia traffic

Fowler

Sarfraz

Abbas

et al. 2015

2015 IEEE International Conference on Communications (ICC)

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“…Similarly, for the downlink communication between a BS and UE, it is possible to show that the UE cannot move more than 200 wavelengths (30 m) during a packet transmission, and thus, the shadowing can be considered constant when evaluating the outage for the BS-UE communication. A measurement campaign on multimedia traffic in LTE [21] shows that the maximum packet size, for video call traffic, reaches 1387 Bytes, which is transmitted with an average throughput of 1.21 Mbps. This implies that such a packet has a transmission time of 9.1 ms.…”

Section: W(s)mentioning

confidence: 99%

“…As for the second rule, a sub-carrier uses the transmission powerP uv to order its preferences from the candidate users of each BS. It prefers at most one user per BS, thus maintaining condition (21).…”

Section: )mentioning

confidence: 99%

“…Thereafter, the transfer and exchange operations will be attempted. For each two coalitions S 1 and S 2 and each BS u ∈ B (lines [20][21]), the operations will be attempted depending on whether the BS has players in these coalitions. If the BS has a player in each coalition, an exchange operation will be attempted (lines [22][23][24][25][26][27]).…”

Section: Definition 4 Coalitions Stabilitymentioning

confidence: 99%

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Joint Sub-Carrier and Power Allocation for Efficient Communication of Cellular UAVs

Hellaoui

Bagaa

Chelli

et al. 2020

IEEE Trans. Wireless Commun.

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Cellular networks are expected to be the main communication infrastructure to support the expanding applications of Unmanned Aerial Vehicles (UAVs). As these networks are deployed to serve ground User Equipment (UEs), several issues need to be addressed to enhance cellular UAVs' services. In this paper, we propose a realistic communication model on the downlink, and we show that the Quality of Service (QoS) for the users is affected by the number of interfering BSs and the impact they cause. The joint problem of sub-carrier and power allocation is therefore addressed. Given its complexity, which is known to be NP-hard, we introduce a solution based on game theory. First, we argue that separating between UAVs and UEs in terms of the assigned sub-carriers reduces the interference impact on the users. This is materialized through a matching game. Moreover, in order to boost the partition, we propose a coalitional game that considers the outcome of the first one and enables users to change their coalitions and enhance their QoS. Furthermore, a power optimization solution is introduced, which is considered in the two games. Performance evaluations are conducted, and the obtained results demonstrate the effectiveness of the propositions.

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“…To analyse the behaviour of a protocol or application in a wireless environment, the traffic must initially be characterised, which means its performance can be determined. Although there are mathematical models that allow the mentioned activities to be carried out, they sometimes lack true information about the real environmental conditions [12]. In addition, in most of these studies such relevant configuration parameters such as the propagation models used are not referenced, and when they are, results are not contrasted with reality.…”

Section: Introductionmentioning

confidence: 99%