On the throughput performance of multirate IEEE 802.11 networks with variable-loaded stations: analysis, modeling, and a novel proportional fairness criterion

Laddomada,; Mesiti,; Mondin, M.; Daneshgaran,

doi:10.1109/twc.2010.05.081191

Cited by 49 publications

(32 citation statements)

References 34 publications

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“…However, finding this number is a complex task which falls into the WiFi QoS research field. There is a plethora of analytical models of the IEEE 802.11 mac behaviour [32][33][34][35]. In most models, the central variable is the probability that an observed station attempts to transmit in a random time slot ( ).…”

Section: Guaranteed Qos Voip Service and Energy Expenditure In Wifi Nmentioning

confidence: 99%

Deploying a Reliable UAV-Aided Communication Service in Disaster Areas

Mayor

Estepa

et al. 2019

Wireless Communications and Mobile Computing

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When telecommunication infrastructure is damaged by natural disasters, creating a network that can handle voice channels can be vital for search and rescue missions. Unmanned Aerial Vehicles (UAV) equipped with WiFi access points could be rapidly deployed to provide wireless coverage to ground users. This WiFi access network can in turn be used to provide a reliable communication service to be used in search and rescue missions. We formulate a new problem for UAVs optimal deployment which considers not only WiFi coverage but also the mac sublayer (i.e., quality of service). Our goal is to dispatch the minimum number of UAVs for provisioning a WiFi network that enables reliable VoIP communications in disaster scenarios. Among valid solutions, we choose the one that minimizes energy expenditure at the user's WiFi interface card in order to extend ground user's smartphone battery life as much as possible. Solutions are found using well-known heuristics such as K-means clusterization and genetic algorithms. Via numerical results, we show that the IEEE 802.11 standard revision has a decisive impact on the number of UAVs required to cover large areas, and that the user's average energy expenditure (attributable to communications) can be reduced by limiting the maximum altitude for drones or by increasing the VoIP speech quality.

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Section: Guaranteed Qos Voip Service and Energy Expenditure In Wifi Nmentioning

confidence: 99%

Deploying a Reliable UAV-Aided Communication Service in Disaster Areas

Mayor

Estepa

et al. 2019

Wireless Communications and Mobile Computing

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“…This seriously decreases the system throughput in order to attain throughput fairness. Although some works [4,12] have resolved this problem, their attainable maximum throughputs are still quite limited due to the primitive 802.11 MAC protocols. Finally, proportional fairness (PF) [2,7,9,17,22], as it balances between fairness and throughput, has emerged as a prominent candidate for downlink OFDMA-based networks.…”

Section: Introductionmentioning

confidence: 99%

A high-performance QoS-enhanced proportional fair scheduling algorithm over downlink OFDMA-based networks

Chao

Chiou

2014

Journal of High Speed Networks

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OFDMA-based networks have been considered to be a promising solution to wireless networks especially for broadband multimedia mobile services. The major challenges pertaining to such OFDMA-based networks are to design a medium access control scheme that is expected to exploit multi-channel multi-rate diversity and with QoS provision. The previous existing scheduling algorithms either target at maximizing system throughput while starving the low-rate users, or focus on throughput fairness but seriously decreasing the system throughput. While proportional fair (PF) has emerged as a prominent candidate in wireless networks, as it achieves a good tradeoff between system throughput and fairness, PF still leads to low throughput of bad channel users, resulting in limiting the attainable QoS throughput for the entire system.In this paper, we propose a QoS-enhanced proportional fair (QEPF) scheduling algorithm, which aims at maximizing QoS throughput while still retaining fairness as well as maximizing system throughput in downlink OFDMA networks. QEPF proposes a QoS-enhanced PF-based utility function, which supports QoS and is a low-complexity algorithm for multi-channel OFDMA networks. We demonstrate via extensive simulation results, that QEPF outperforms PF in terms of system throughput and mean delay. The results illustrate that QEPF surprisingly attains great performance for poor channel users, while not sacrifices the performance of good channel users. Furthermore, the results show that QEPF well accommodates nearly twice the amount of high priority data than PF does.

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“…It is envisaged that by employing a distribution coordination function [2][3], to evaluate the channel conditions that determine the data rates and taking into consideration the effect of interference on a basic service set [4] there is a potential to correct the fairness level using dynamic network allocation vectors and forcing handoffs.…”

Section: Introductionmentioning

confidence: 99%

Indoor Channel Measurement and Prediction for 802.11n System

Dama

Abd-Alhameed

Salazar-Quinonez

et al. 2011

2011 IEEE Vehicular Technology Conference (VTC Fall)

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Significant improvements in the quality and reliability of indoor WLAN communications are claimed for devices with MIMO technology applying 802.11n standards, that allow users to achieve a theoretical data rate up to 300-600 Mbps on a single transmission. This paper presents an analysis of a commercial 802.11n MIMO 2×3 dual band (2.4 and 5 GHz) system focusing on the operational throughput performance over an indoor environment for Line of Sight (LOS) and Non Line of Sight (NLOS) scenarios. Efforts on combined field strength distribution, throughput, propagation-channel environments, of this system will be elucidated. The work is focusing on the operational performance of the physical measurements and results compared with simulation model over an indoor environment.

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On the throughput performance of multirate IEEE 802.11 networks with variable-loaded stations: analysis, modeling, and a novel proportional fairness criterion

Cited by 49 publications

References 34 publications

Deploying a Reliable UAV-Aided Communication Service in Disaster Areas

Deploying a Reliable UAV-Aided Communication Service in Disaster Areas

A high-performance QoS-enhanced proportional fair scheduling algorithm over downlink OFDMA-based networks

Indoor Channel Measurement and Prediction for 802.11n System

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