An adaptive multirate IEEE 802.11 wireless LAN

Wu, Jung-Hsuan; Liu, Hung-Huan; Lung, Yi-Jen

doi:10.1109/icoin.2001.905459

Cited by 28 publications

(6 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To infer the causes of the wireless delay we use physical layer information available in the sniffer trace. We find that From-AP data rate was consistently varied with the changing signal conditions as [8] proposes. If the AP does not receive ACK from the source at 11 Mbps, then the AP retries to send the packets at lower data rate (5.5 or 2 Mbps).…”

Section: B Delay Analysismentioning

confidence: 55%

Measuring Traffic on the Wireless Medium: Experience and Pitfalls

Yeo¹,

Banerjee²,

Agrawala³

2002

View full text Add to dashboard Cite

A number of measurement studies have examined traffic characteristics in wireless networks. Most of these measurements [1], [6], [7] have been conducted from the wired portion of the network. In this paper we argue that such measurements are not sufficient to expose either the characteristics of the wireless medium or how such characteristics impact traffic patterns. While it is easier to make consistent measurements in the wired part of a network, such measurements can not observe the significant vagaries present in the wireless medium itself. As a consequence constructing an efficient and accurate measurement system from a wireless vantage point is important but usually quite difficult. In our work we have explored the various issues in implementing such a system to monitor traffic in an 802.11 based wireless network. We identify different challenges in making such measurements and provide detailed experimental evidence in their supports.Our work shows that the wireless measurement allows us to infer much richer information about the medium characteristics than is possible with a measurements made on the wired part of the network. We apply our measurement technique to study the end-to-end wireless network delay. We show that wireless monitoring can effectively identify the causes of end-to-end delays.

show abstract

Section: B Delay Analysismentioning

confidence: 55%

Measuring Traffic on the Wireless Medium: Experience and Pitfalls

Yeo¹,

Banerjee²,

Agrawala³

2002

View full text Add to dashboard Cite

show abstract

“…Main parameters of 802.11 WLAN are summarized in Table 3 for simulation [10]. We assume that all flows are always backlogged.…”

Section: Simulation and Resultsmentioning

confidence: 99%

Distributed Proportional Fair Scheduling for IEEE802.11 Wireless LANs

Park

2009

Wireless Pers Commun

View full text Add to dashboard Cite

In the time varying wireless channel, opportunistic scheduling is one of the important techniques to achieving the rich diversities inherent in wireless communications. However, most existing scheduling schemes require centralized scheduling and little work has been done on developing distributed algorithms The proportional fair scheduling is one of the representative opportunistic scheduling for centralized networks. In this paper, we propose distributed proportional fair scheduling (DPFS) scheme for wireless LAN network. In the proposed DPFS scheme, each receiver estimates channel condition and calculates independently its own priority with probabilistic manner, which can reduce excessive probing overhead required to gather the channel conditions of all receivers. We evaluate the proposed DPFS using extensive simulation and simulation results show that DPFS obtains higher network throughput than conventional scheduling schemes while maintaining fairness among users.

show abstract

“…For performance comparison purpose, the results for a fixed rate algorithm are also included, The fixed rate algorithm simply uses a fixed transmission mode for all packet transmissions. In the studied one-hop wireless LAN, the number of stations is fixed and configured to 5,15,25 Table. II. For simplicity, we set the SNR state transition matrix p s (i, j) as below:…”

Section: Numerical Resultsmentioning

confidence: 99%

Achievable performance gain of IEEE 802.11 multi-rate link adaptation algorithm with cross-layer design

Tang

Zhang

et al. 2015

IJAACS

View full text Add to dashboard Cite

Abstract-Link quality based rate adaptation which aims at link throughput optimization has been used widely for IEEE 802.11 networks. However, from system perspective network performance is affected by not only link quality but also random channel access at the MAC layer. Selection of transmit mode for optimal link throughput can cause performance loss of MAC throughput. In this paper we investigate this issue and propose a generalized cross-layer rate adaptation algorithm which considers jointly link quality at the physical layer and random channel access at the MAC layer to optimize network throughput. The objective is to examine the potential benefits that can be offered by cross-layer design. An efficient analytic model is proposed to evaluate rate adaptation algorithms operated under dynamic channel and multi-user access environments. The proposed rate adaptation algorithm is compared to the link throughput optimization based rate adaptation algorithm. It is found that rata adaptation by optimizing link layer throughput can result in large performance loss at the MAC layer, which can not be compensated by the means of optimizing MAC access mechanism alone. Numerical results show that the cross-layer design can achieve consistent and considerable performance gains of up to 20%. Therefore cross-layer rate adaptation design is promising and deserves to be exploited in practical rate adaptation design for IEEE 802.11 networks.

show abstract

An adaptive multirate IEEE 802.11 wireless LAN

Cited by 28 publications

References 10 publications

Measuring Traffic on the Wireless Medium: Experience and Pitfalls

Measuring Traffic on the Wireless Medium: Experience and Pitfalls

Distributed Proportional Fair Scheduling for IEEE802.11 Wireless LANs

Achievable performance gain of IEEE 802.11 multi-rate link adaptation algorithm with cross-layer design

Contact Info

Product

Resources

About