Hybrid rate control for IEEE 802.11

Haratcherev, Ivaylo; Langendoen, Koen; Lagendijk, R.L.; Sips, Henk

doi:10.1145/1023783.1023787

Cited by 104 publications

(80 citation statements)

References 5 publications

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“…There is a significant amount of work on rate control in IEEE 802.11 networks [3]- [5], [9], [10], [17], [18]. We provide an extensive survey in [11].…”

Section: Related Workmentioning

confidence: 99%

“…In recent years, a number of multirate adaptation schemes (ARF [3], AARF [15], SampleRate [4], HRC [9], CARA [10], RRAA [17]) have been proposed. In these schemes, a packet loss on a wireless link is used to estimate channel conditions.…”

Section: Introductionmentioning

confidence: 99%

“…This measure of loss due to channel-error only is then used for data rate control. Like the existing schemes [9], [17], we use a threshold-based decision scheme where the data rate is downgraded or upgraded when the measured packet loss is greater than or less than certain thresholds, respectively. However, we use accurate channelerror loss that is adjusted by collision loss obtained by the physical capture.…”

Section: Introductionmentioning

confidence: 99%

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Cross Layer Multirate Adaptation Using Physical Capture

Park

Kasera

Patwari

2009

GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

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Abstract-In this paper, to improve the performance of multihop wireless networks, we explore a cross layer multirate adaptation scheme (we call it CROMA) that uses the phenomenon of physical capture at the physical layer for effectively distinguishing losses due to collisions from those due to channel-error. We first estimate the number of packets dropped due to collisions, at each node by counting the number of packets that are not successfully retrieved by physical capture. Next, using a simple algorithm, we assign this collision loss to neighboring sources of packets that might have generated the colliding packets. Using extensive ns-2 simulations, we show that our multirate adaptation scheme consistently outperforms the existing schemes.

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“…There is a significant amount of work on rate control in IEEE 802.11 networks [3]- [5], [9], [10], [17], [18]. We provide an extensive survey in [11].…”

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Cross Layer Multirate Adaptation Using Physical Capture

Park

Kasera

Patwari

2009

GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

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“…In [9], after a review of existing mechanisms, the authors proposed a hybrid rate control scheme in which the existing techniques are carefully combined. Both statistical information (FER, throughput) and measured SNR (or RSS) information are collected and utilized.…”

Section: B Related Work and Existing Rate Adaptation Algorithmsmentioning

confidence: 99%

“…The adaptive ARF (AARF) algorithm [10] was published at almost the same time as [9]. Unlike ARF, AARF continuously change the threshold (N up ) value at runtime.…”

Section: B Related Work and Existing Rate Adaptation Algorithmsmentioning

confidence: 99%

A rate adaptation algorithm for IEEE 802.11 WLANs based on MAC-layer loss differentiation

Pang

Leung

Liew³

2005

2nd International Conference on Broadband Networks, 2005.

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-In a WLAN subject to variable wireless channel conditions, rate adaptation plays an important role to more efficiently utilize the physical link. However, the existing rate adaptation algorithms for IEEE 802.11 WLANs do not take into account the loss of frames due to collisions. In a WLAN with coexistence of multiple stations, two types of frame losses due to (a) link errors and (b) collisions over the wireless link can coexist and severely degrade the performance of the existing rate adaptation algorithms. In this paper, we propose a new automatic rate fallback algorithm that can differentiate the two types of losses and sharpen the accuracy of the rate adaptation process. Numerical results show that the new algorithm can substantially improve the performance of IEEE 802.11 WLANs.

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A utility minimization approach for energy‐aware cooperative content distribution with fairness constraints

Yaacoub

Al-Kanj

Dawy

et al. 2012

Trans. Emerging Tel. Tech.

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Cooperation between mobile terminals (MTs) with the objective of energy minimization is studied. The purpose is to distribute a content of common interest to collaborating MTs while ensuring a reduced energy consumption. To reach this goal, the content is sent to selected MTs on a long‐range link. Then, it is forwarded to other MTs on short‐range mobile‐to‐mobile links. The problem is formulated as an optimization problem, and the optimal solution is shown to consist of sending the content to a single MT on the long‐range link and of having that MT distribute it on the short‐range links. This leads to an unfair energy consumption for the selected MT. Thus, to ensure fairness in energy consumption, a low complexity utility minimization algorithm is proposed. Using the appropriate utilities, the algorithm can be used to implement the optimal greedy energy minimization solution or to ensure different degrees of fairness in energy consumption. Practical constraints concerning the centralised and distributed implementations of the proposed algorithm are also discussed. Simulation results show that significant energy savings can be achieved with the proposed approach compared with the non‐collaborative case. In addition, a tradeoff between fairness and energy savings is achieved depending on the utility selected. Copyright © 2012 John Wiley & Sons, Ltd.

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Hybrid rate control for IEEE 802.11

Cited by 104 publications

References 5 publications

Cross Layer Multirate Adaptation Using Physical Capture

Cross Layer Multirate Adaptation Using Physical Capture

A rate adaptation algorithm for IEEE 802.11 WLANs based on MAC-layer loss differentiation

A utility minimization approach for energy‐aware cooperative content distribution with fairness constraints

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