On the performance of rate control algorithm Minstrel

Dong, Xueyi; Hart, Jonathan; Fu, Qiang

doi:10.1109/pimrc.2012.6362819

Cited by 21 publications

(15 citation statements)

References 9 publications

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“…This probability is used to estimate the throughput of each rate and the retry chain is re-evaluated based on this estimate every 100ms. In each 100ms sampling window, the success rate, R S , is calculated for each data rate based on the 1 The data rate that gives the highest throughput 2 The data rate that has the highest rate of successful transmissions 3 The lowest available data rate historical observation of packet successes and failures as in (1), where N S is the number of packets transmitted successfully at the data rate and N T is the total number of packets attempted at the data rate.…”

Section: Statistics Calculationmentioning

confidence: 99%

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Evaluation of the Minstrel rate adaptation algorithm in IEEE 802.11g WLANs

Dong

Hart

2013

2013 IEEE International Conference on Communications (ICC)

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Rate adaptation varies the transmission rate of a wireless sender to match the wireless channel conditions, in order to achieve the best possible performance. It is a key component of IEEE 802.11 wireless networks. Minstrel is a popular rate adaptation algorithm due to its efficiency and availability in commonly used wireless drivers. However, despite its popularity, little work has been done on evaluating the performance of Minstrel or comparing it to the performance of fixed rates. In this paper, we conduct an experimental study that compares the performance of Minstrel against fixed rates in an IEEE 802.11g testbed. The experiment results show that whilst Minstrel performs reasonably well in static wireless channel conditions, in some cases the algorithm has difficulty selecting the optimal data rate in the presence of dynamic channel conditions. In addition, Minstrel performs well when the channel condition improves from bad quality to good quality. However, Minstrel has trouble selecting the optimal rate when the channel condition deteriorates from good quality to bad quality.I.

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Section: Statistics Calculationmentioning

confidence: 99%

“…This work builds on our previous study which evaluates Minstrel [2]. In this paper we consider different scenarios to provide a more detailed evaluation.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Minstrel rate adaptation algorithm in IEEE 802.11g WLANs

Dong

Hart

2013

2013 IEEE International Conference on Communications (ICC)

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“…Therefore, we have designed two typical collision scenarios for verification: hidden node collision and multi-user collision. Then we simulate three typical Channel Modes B, D and E in 802.11n [13] to assess on Gi Adaption and verify its gain compared with fixed ShortGi and LongGi mode. Finally a experiment of real deployment is done to evaluate the composite enhancement of the total solution.…”

Section: Experiments and Simulationmentioning

confidence: 99%

“…Minstrel has been proved to enjoy favorable effect in most slow-varying and low-density indoor channel condition. But when channel varies quickly or in high-density condition, in which random and unexpected collision is frequent, this algorithm has its limitation too, and even inferior to constant-rate algorithm [13,14]. And with the evolution of WLAN and increasing of MCS levels, periodical training itself would have influence on performance.…”

Section: Introductionmentioning

confidence: 99%

An Enhanced Minstrel Link Adaption Scheme for IEEE 802.11 WLANs

Chen

Zeng

Jian

et al. 2016

IJFGCN

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“…AARF [10], SampleRate [11] and Minstrel [12] are collision-ignored and bit rates are reducing once packet loss occurs. Frame-based ones by nature are not responsive to variations of link status, because they require multiple frame transmissions to converge to a meaningful estimated value of link status.…”

Section: Open-loop Approach Rate Adaptation Schemesmentioning

confidence: 99%

Enhanced Algorithm for Rate Adaption for IEEE 802.11 Networks

Mohamed

Bahgat

Mohamed

2015

Advances in Intelligent Systems and Computing

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The IEEE 802.11 standards provide multi-rates capabilities; therefore, network devices adapt their transmission rate dynamically under varying conditions to achieve high network performance. Rate adaption is a critical component of network performance. High mobility environment and large transmission distance are challenging problems. These problems cause dramatically degradation in wireless network performance. In this paper we will present a solution to overcome these problems based on RRAA. There are two main contributions of the paper: introducing/updating performance evaluation study conducted in IEEE 802.11 networks for most existing rate adaptation algorithms; the simulation results showed that the RRAA has the best performance except for long transmission distance and mixed mobility channel condition and (ii) introducing a modified RRAA algorithm to address the weakness of RRAA. Modified RRAA uses hybrid technique between fixed and adaptive rates. Moreover, it uses adaptive packet size during transmission to achieve maximum throughput of channel. The extensive experiments showed that, Modified RRAA outperforms pure RRAA solutions; with throughput improvement up to 63.27 % in scenarios containing mixed mobility at long transmission distance between nodes.Keywords Robust rate adaptation algorithm (RRAA) ⋅ Adaptive automatic rate fallback (AARF) ⋅ Collision rate adaption algorithm (CARA)

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On the performance of rate control algorithm Minstrel

Cited by 21 publications

References 9 publications

Evaluation of the Minstrel rate adaptation algorithm in IEEE 802.11g WLANs

Evaluation of the Minstrel rate adaptation algorithm in IEEE 802.11g WLANs

An Enhanced Minstrel Link Adaption Scheme for IEEE 802.11 WLANs

Enhanced Algorithm for Rate Adaption for IEEE 802.11 Networks

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