Collision-Aware Rate Adaptation in multi-rate WLANs: Design and implementation

A Receiver based 802.11 Rate Adaptation Scheme with On-Demand Feedback. Abstract-Classical 802.11 rate adaptation algorithms rely on feedback from the receiver to correctly choose a sending rate, typically in the form of acknowledgments (ACKs). In the absence of such frames, novel techniques are required for rate selection.We present a novel On-Demand Feedback Rate Adaptation algorithm (OFRA) that works with ACK-less traffic. Feedback information is sent on-demand using a control frame to explicitly inform the transmitter about which bit rate to use on subsequent data frames. This approach guarantees standard conformity and exhibits fast and accurate bit rate adaptation at the cost of a modest overhead increase. We evaluate the performance of OFRA against various state-of-the-art rate adaptation schemes by means of simulations. If ACK frames are to be transmitted, OFRA performs better than related work in most considered scenarios, and on par in the others. In the absence of ACKs, OFRA provides large goodput gains under good channel conditions and comparable goodput in other situations.

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“…• CARA: It extends ARF by transmitting RTS/CTS frames whenever the data transmission has failed, hence, protecting against collisions [4].…”

Section: Simulation Methodologymentioning

confidence: 99%

A receiver-based 802.11 rate adaptation scheme with On-Demand Feedback

Schmidt

Hithnawi

Punal

et al. 2012

2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC)

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“…There are other good rate adaptation algorithms proposed, e.g. RRAA, CARA [6], Sample-Rate, ONOE, etc. These algorithms increase rate or decrease rate on different ACK statistics rules.…”

Section: Classical Algorithmmentioning

confidence: 99%

A New Rate Adaptation Algorithm over Block-ACK of 802.11 Protocol

Chen¹,

Li²,

Chen³

2017

dtcse

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INSTRUCTIONAs wireless LANs become increasingly popular, people have produced higher requirements to the throughput. According to the IEEE 802.11n standardization [1], the rate of the physical layer can reach at most 600Mbps due to that the physical layer have introduced the OFDM and MIMO technologies. The MAC layer also have introduced frame aggregation and Block ACK mechanism to reduce the MAC overhead. For the physical layer rate, the range of selectable rates in 802.11n are larger than any prior 802.11 standard. So studying how to dynamically select transmission rate accordance with channel quality has more particular significance in the 802.11n.Since These algorithms are all based on the basic ACK statistics. But Block ACK mechanism returns a Block ACK that includes a lot of MPDUs' transmission information after sending a number of MPDUs, the response time of Block ACK is longer than the basic ACK and one time statistics numbers are more than the basic ACK. So these algorithms are no longer suitable for Block ACK mechanism. The literature [13] proposed an algorithm for Block ACK mechanism, but it uses the SNR of BA frame to conduct rate selection and has no in-depth analysis on the problems exist when the original algorithms are used under the Block ACK mechanism. We assess ARF under Block ACK mechanism and the results show that these classical algorithms exist serious problems about rate change. We analyze the cause of each problem and propose a new algorithm B-ARF to achieve higher throughput.The contents of this article are organized as follows: Section 1 briefly introduces the Block ACK mechanism and the existing classical algorithms ARF, AARF; Section 2 assesses these classic algorithms under Block ACK mechanism; Section 3 analyzes simulation results of ARF in BA case; Section 4 proposes a new B-ARF algorithm and simulates it; and Section 5 summarizes this article. RELATED WORKS Block ACK mechanismBlock-ACK mechanism was firstly used in the IEEE 802.11e [2] and has been expanded in the IEEE 802.11n that put forward the compressed Block-ACK mechanism. When sender and receiver intend to use the Block-ACK mechanism, sender sends an add Block-ACK request frame (add BA-REQ) to the receiver, receiver which support Block-ACK mechanism will respond an add Block-ACK response frame (add BA-RSP), then they will begin to use Block-ACK mechanism for data transmission. A New Rate Adaptation Algorithm over Block-ACK of 802.11 ProtocolXueping Chen, Wenda Li, Hongyuan Chen School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, ChinaABSTRACT: Rate Adaptation is one important way to improve the throughput in the 802.11 networks. However, the previously proposed rate adaptation algorithms were based on the Basic-ACK mechanism. In IEEE 802.11e and 802.11n protocols, the Block-ACK was introduced to reduce the overhead caused by the ACKs so as to improve the system throughput. In this paper, we focus on the rate adaptation under the Block-ACK. Through a lot of simulation...

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“…To solve this problem, [5] proposed the collision-aware rate adaptation (CARA) scheme, which uses the RTS/CTS exchange mechanism in order to differentiate the frame losses caused by collision. If data transmission failure occurs without RTS/CTS, it uses the RTS/CTS mechanism at the next data transmission.…”

Section: Statistics-based Approachmentioning

confidence: 99%

“…In the simulation, the following simulation parameters were used: 1400-byte packet size, IEEE Success = 0; Failure = 0; recovery mode = false; is current transmission rate; (i) Receive ACK (1) Success++; Falure = 0; ewnd counter++; (2) update estimation window; (3) if (Success > Thres succ or timer expired) then (4) reset estimation window; (5) increase transmission rate ( ++); (6) recovery mode = true; ewnd counter = 0; (7) end if (ii) ACK Timeout (8) update estimation window; (9) Falure++; Success = 0; ewnd counter++; (10) if (ewnd counter ≥ Wnd size ) then (11) recovery mode = false; (12) end if (13) err = the number of failures in estimation window (14) if ( err ≥ Err Thres ( ) or Failure ≥ 2) then (15) decrease transmission rate ( − −); (16) if (recovery mode) then (17) double Thres succ; recovery mode = false; (18) else (19) Thres succ = 10; (20) end if (21) end if Algorithm 2: Pseudocode for rate decrease decision based on FER. 802.11a, constant speed propagation model, log distance propagation loss model, and UDP flow.…”

Section: Simulation Setupmentioning

confidence: 99%

“…Statistics-based rate adaptation schemes can degrade WLAN performance significantly by lowering the transmission rate unnecessarily due to packet losses caused by collision. In order to alleviate this problem, several rate adaptation algorithms with loss differentiation scheme have been proposed [5][6][7][8][9][10][11]. Some of these rate adaptation schemes use the RTS/CTS exchange to differentiate frame losses caused by collision.…”

Section: Introductionmentioning

confidence: 99%

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Enhancing WLAN Performance with Rate Adaptation Considering Hidden Node Effect

Ahn

Chung

2015

International Journal of Distributed Sensor Networks

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In IEEE 802.11 WLANs, many rate adaptation studies have proposed rate adaptation schemes to differentiate channel-related loss and collision loss in order to enhance WLAN performance. Most of these studies focus on rate adaptation schemes on the client side when many clients transmit uplink traffic to an access point (AP). However, considering the high proportion of downlink traffic in WLANs, rate adaptation on the AP side has a greater impact on WLAN performance and is more influenced by the downlink traffic on neighboring APs. In addition, considering that many APs are deployed in the real world, some APs use the same channel and are hidden from each other. In this paper, we first analyze the impact of hidden nodes on the rate adaptation scheme. We then propose a new rate adaptation scheme, called Hidden node Effect aware Rate Adaptation (HERA). HERA optimizes the RTS exchange by utilizing RTS transmission success/failure and makes rate decrease decisions based on frame error rate (FER) in order to enhance WLAN performance. We evaluate the performance of HERA through extensive simulation, comparing it with other well-known rate adaptation schemes. Simulation results show that HERA outperforms other rate adaptation schemes by up to 161% in terms of downlink throughput in hidden node environments.

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Collision-Aware Rate Adaptation in multi-rate WLANs: Design and implementation

Cited by 30 publications

References 14 publications

A receiver-based 802.11 rate adaptation scheme with On-Demand Feedback

A receiver-based 802.11 rate adaptation scheme with On-Demand Feedback

A New Rate Adaptation Algorithm over Block-ACK of 802.11 Protocol

Enhancing WLAN Performance with Rate Adaptation Considering Hidden Node Effect

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