NEXT-FIT: Available Bandwidth Measurement over 4G/LTE Networks -- A Curve-Fitting Approach

Abstract

Available bandwidth (ABW) estimation in wireless networks is a critical issue for quality-of-service (QoS) provisioning. Nowadays, a network path often contains at least one wireless link e.g., mobile users having wireless connection to the Internet through laptop PCs or smartphones. Most of the existing tools for measuring ABW have been developed and evaluated in wired networks. Since the characteristics of wired links and wireless links differ in many respects, such as fluctuations in capacity and stability due to the shared and unreliable nature of the wireless links, ABW estimation tools also need to be evaluated for network paths containing at least one wireless link. In this paper, we have extended our previous work, New Enhanced Available Bandwidth Estimation Technique (NEXT) by introducing a parameter-independent curve-fitting technique to detect the ABW from a one-way queuing delay signature and conducted a real test over a radio interface in a 4G/LTE mobile communication network. For the experiments, a commercial 4G/LTE mobile network of a Japanese mobile operator was used. Extensive simulations over an IEEE 802.11 network were also performed. Simulation results as well as real-world experimental results demonstrate that it is feasible to achieve reliable estimates under certain circumstances. Our extended approach, which we call NEXT-FIT, has very good ABW estimation results under conditions of different packet sizes, dynamic wireless link rates, and channel noises.

A novel available bandwidth estimation method for mobile networks using a train of packet groups

“…Also, (Shiobara & Okamawari, 2017) evaluates a new estimation method called "TPG" that use a Train of Packet Groups as a probe of the av_bw estimation; this method (TPG) is implemented and evaluated by using a commercial FDD-LTE (frequency division duplex long term evolution) system. On the other hand (Paul, Tachibana, & Hasegawa, 2016) introduces a new Enhanced Available Bandwidth Estimation Technique (NEXT) by introducing a parameterindependent curve-fitting technique to detect the av_bw estimation toolsfrom a one-way queuing delay signature; and it was evaluated on a real test over a radio interface in a 4G/LTE mobile communication network.…”

“…However, the studies do not show a real analysis of the effects that cause the performance of the traffic flow in a network infrastructure with wireless trunk segments; such as, the real capacity of the link, lost packets, latency, av_bw, among others; because they only focus on evaluating the av_bw estimation tools in wireless network infrastructures based on IEEE 802.11, and 4G/LTE architectures, among others (Abolfazli, Sanaei, Wong, Tabassi, & Rosen, 2015), (Paul, Tachibana, & Hasegawa, 2016).…”

Available Bandwidth Estimation Tools Metrics, Approaches and Performance

“…Studies such as [30], [10], [31], [32], [33], [9], [34], [35], [36], [20], [37], [38], [39], [40], [41], concentrate on analyzing the techniques developed, because each author, based on one of the two approaches, creates a technique to optimize the variables of the av_bw metric, such as estimation time, prediction, and relative error. When developing a technique, it is implemented, evaluated and compared with studies such as [42], [11], [12], [43], [44], [45], [46], [47], [22], [48], [20], [49], [16], [50], [51], [13], [52], [53], [54], [55], show the comparative performance between two or more tools evaluated in simulated environments such as using NS-2 or NS-3, and in real network testbed Evaluate protocols, control certain network parameters, see Table 3.…”

Overhead in Available Bandwidth Estimation Tools: Evaluation and Analysis

“…Likewise, also they evaluated ABET Wireless or hybrid scenarios. In [62], evaluate the NEXT-FIT tool and compared with PathCrip, performance analyzing error and relation between CT and av_bw estimated by both tools. There are other studies that evaluate and compare tools in these scenarios, whose information can be extended in [37], [47], [42].…”