Throughput vs. Distance Tradeoffs and Deployment Considerations for a Multi-Hop IEEE 802.16e Railroad Test Bed

Wang, Wei; Sharif, Hamid; Hempel, Michael; Zhou, Ting; Mahasukhon, Puttipong

doi:10.1109/vetecs.2008.570

Cited by 8 publications

(6 citation statements)

References 7 publications

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“…Our computer simulation efforts are designed to investigate these claims and the potential of this technology. Some of our findings are documented in [2][3][4][5]. We find that in our work it is vital to have an accurate measure of the path loss exponent for particular areas of interest.…”

Section: Introductionmentioning

confidence: 79%

A Deterministic approach to evaluate path loss exponents in large-scale outdoor 802.11 WLANs

Zhou

Sharif

Hempel

et al. 2009

2009 IEEE 34th Conference on Local Computer Networks

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Accurate network planning is critical with deployments of large outdoor wireless networks. Propagation and path loss considerations are key factors in predicting performance of wireless networks. We are currently studying large-scale wireless networks for US railway environments. In this study, both theoretical and measurement based propagation models indicate that the average received signal power decreased logarithmically with distance. The average large-scale path loss is expressed as a function of distance between the transmitter and the receiver by using a path loss exponent n and the close-in reference distance d 0 . However it is very important to select a suitable space reference distance that is appropriate for a specific propagation environment. In this paper, a deterministic approach is proposed to select an appropriate reference distance for a given propagation environment. Also a Minimum Mean Square Error (MMSE) based method is introduced to compute path loss exponents. Furthermore the comparison between the site specific measurement data collected from our testbed and the estimated values verifies the accuracy of our proposed method.

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Section: Introductionmentioning

confidence: 79%

A Deterministic approach to evaluate path loss exponents in large-scale outdoor 802.11 WLANs

Zhou

Sharif

Hempel

et al. 2009

2009 IEEE 34th Conference on Local Computer Networks

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“…It can be noticed that (10), (11), (13) and (15) give the general form to obtain the breakpoint distance Z k , the maximum MAC throughput S max at a distance D, and the relay intermediate distances r i IV. CONCLUSION In this paper, we present a novel approach to obtain the optimal performance bounds for a multi-hop multi-rate WLAN as a function of distance between the relays.…”

Section: Optimum Solution For K-hopsmentioning

confidence: 99%

“…The simulation results showed that the system can detect the MAC-level problems accurately, regardless of AP density or shadowing effect. Using IEEE 802.16e module for NS-2, particularly throughput versus distance, results were obtained [13]. A quantitative analysis was conducted via extensive simulation, and the optimal modulation and coding scheme as well as channel bandwidth profiles were identified for specific distances.…”

Section: Introductionmentioning

confidence: 99%

A novel approach for throughput analysis of multi-hop multi-rate WLANs

Alkandari

Pahlavan

2014

2014 International Conference on Computer, Information and Telecommunication Systems (CITS)

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Nowadays the deployment of the Wireless Local Area Network (WLAN) is under the limelight of the academic community. In a multi-rate data WLAN, the data rate is a function of the distance from the access point (AP). To extend the coverage of the AP to cover a target terminal outside the AP coverage area, relay nodes are deployed between the AP and the target terminal. Therefore, for a given relationship between the throughput and the distance, and a given distance between the access point and the target receiver, there is a minimum number of nodes that provides the maximum throughput to the target receiver. It is always desirable to optimize the deployment from various aspects. These aspects are application-dependent and they range from energy conservation in sensor networks to throughput and coverage maximization in data networks. This paper presents a novel approach to determine the optimal bounds for the Medium Access Control (MAC) throughput at the target receiver in a multi-hop multi-rate wireless data network. We use the principles of linear programming and a model for the physical layer (PHY) throughput-distance relationship to determine the optimal performance bounds for the MAC throughput of a target terminal as a function of distance from the AP and the number of hops. Additionally, we determine the physical locations for the relays to reach the optimal MAC throughput for a target terminal located at a specific distance from the AP.

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“…It provides high datarate and large coverage with features like QoS, handover, HARQ and vehicular mobility support, making it a cost-effective and reliable solution for a wide range of applications. Our research team at the University of Nebraska-Lincoln's Advanced Telecommunications Engineering Laboratory has been studying design, implementation and simulation of difference aspects of Mobile WIMAX [2][3][4][5][6][7] with the primary objective of designing broadband solutions for the North American railroad industry. Mobile WiMAX is a good prospective standard to deliver mobile video streaming [8,9], VOIP [10] and broadcasting services [11].…”

Section: Introductionmentioning

confidence: 99%

A Performance Comparison of Mobile WiMAX Spectrums: 2.5 GHz vs. 3.65 GHz

Shrestha

Hempel

Mahasukhon

et al. 2012

2012 IEEE 75th Vehicular Technology Conference (VTC Spring)

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Mobile WiMAX is a popular broadband solution with diverse applications. In the United States, the Federal Communications Commission (FCC) currently issues licenses for Mobile WiMAX in several frequency bands, of which 2.5 GHz and 3.65 GHz are the most prevalent. A significant amount of research has been conducted in the domain of 2.5 GHz due to its widespread commercial use. However, no such work -academic or industrial -has been reported for 3.65 GHz, in spite of it being a more favorable option for many applications, particularly because of its licensing requirements. In this paper, we present a comprehensive comparison of these two frequency bands in order to provide benchmark results for use by network planners, engineers and researchers. Our analysis indicates that, while 2.5 GHz Mobile WiMAX generally offers a larger coverage area, the attractive licensing options for 3.65 GHz may present an interesting alternative for many deployment scenarios and applications.

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Throughput vs. Distance Tradeoffs and Deployment Considerations for a Multi-Hop IEEE 802.16e Railroad Test Bed

Cited by 8 publications

References 7 publications

A Deterministic approach to evaluate path loss exponents in large-scale outdoor 802.11 WLANs

A Deterministic approach to evaluate path loss exponents in large-scale outdoor 802.11 WLANs

A novel approach for throughput analysis of multi-hop multi-rate WLANs

A Performance Comparison of Mobile WiMAX Spectrums: 2.5 GHz vs. 3.65 GHz

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