Performance evaluation of the IEEE 802.11a and b WLAN physical layer on the Martian surface

Borah, Deva K.; Daga, A.; Lovelace, G.R.; León, Phillip L. De

doi:10.1109/aero.2005.1559433

Cited by 7 publications

(4 citation statements)

References 7 publications

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“…For 802.11b simulations, the resulting impulse response is fractionally resampled in order to match the sample time of the oversampled (square root raised cosine filtered) data. With this processing, the complex baseband transmit signal is then convolved with the impulse response and white Gaussian noise is added to achieve either a specified E b =N 0 or to match receiver noise estimates given in [17]. The resulting output signal is then processed by the receiver.…”

Section: A Physical Layer Simulationmentioning

confidence: 99%

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Terrain-based simulation of IEEE 802.11a and b physical layers on the martian surface

Daga

Lovelace²,

Borah³

et al. 2007

IEEE Trans. Aerosp. Electron. Syst.

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This paper presents results concerning the use of IEEE 802.11a and b wireless local area network (WLAN) standards for proximity wireless networks on the Martian surface. The RF environment on the Martian surface is modeled using high-resolution digital elevation maps (DEMs) of Gusev Crater and Meridiani Planum (Hematite) as sample sites. The resulting propagation path loss models are then used in a physical layer (PHY) simulation. Our results show that Martian terrain as represented by the sites studied, can create multipath conditions which in turn affect 802.11a and b PHY performance. However, with a few tens of milliwatts of radiated power and antenna heights within 1-2 m, orthogonal frequency division multiplexing (OFDM)-based 802.11a can have very good PHY performance in terms of bit error rate (BER) and packet error rate (PER)for distances up to a few hundred meters; 802.11b, which is based on direct-sequence spread spectrum (DSSS), is found to be much more adversely affected in the multipath environment. The DEM-based simulation methodology presented here may be more useful to mission planners than generic statistical models.

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Section: A Physical Layer Simulationmentioning

confidence: 99%

“…Fig. 1 shows the BER performance versus E b =N 0 for a representative sample of the many data modes and rates which were studied [17]. In each subplot, one curve shows the performance of 802.11b without a RAKE receiver architecture-the performance is very poor.…”

Section: A Physical Layer Simulationmentioning

confidence: 99%

Terrain-based simulation of IEEE 802.11a and b physical layers on the martian surface

Daga

Lovelace²,

Borah³

et al. 2007

IEEE Trans. Aerosp. Electron. Syst.

Self Cite

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“…When the packet size is larger than fragmentation threshold it is divided into fragments and then forwarded and if we select the option "NONE" which simply implies fragmentation is not used. In that case if the packet size is higher than MSDU [9] than the packets will be discarded.…”

Section: Attribute and Measurement Units 21 Fragmentation Thresholdmentioning

confidence: 99%

Rising up the Performance of Wireless Local Area Network by Varying Fragmentation Threshold using OPNET

Mewara¹,

Manghnani²

2014

IJCA

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As all can see that the demand of WLAN is increasing gradually, so here it is necessary to improve the performance of WLAN. There are many parameters which can directly affect the performance of WLAN like data rate, modulation scheme, buffer size, RTS threshold etc. One of them is fragmentation threshold. In this paper we are rising up the performance of WLAN by moderating the value of fragmentation threshold using OPNET as a simulation tool. By using fragmentation threshold parameter the large packets are be fragmented into smaller packets. Furthermore it can be demonstrated that by increasing the value of fragmentation threshold the throughput and load of the WLAN is increased, it also decreased the delay and media access delay of WLAN. This increased throughput and load simply implies that the performance of WLAN is enhanced. By increasing fragmentation threshold value we can also decreases the probability of discarding packets.

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“…This parameter specifies the value to decide if the MAC Service Data Unit (MSDU) received from the higher layers needs to be fragmented before transmission [5]. The number of fragments to be transmitted is calculated based on the size of the MSDU and the fragmentation threshold.…”

Section: Fragmentation Threshold (Bytes)mentioning

confidence: 99%

Throughput Analysis of Ieee802.11b Wireless Lan With One Access Point Using Opnet Simulator

Isizoh¹,

O.C²,

O³

et al. 2012

IJACSA

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Abstract-This paper analyzes the throughput performance of IEEE 802.11b Wireless Local Area Network (WLAN) with one access point. The IEEE 802.11b is a wireless protocol standard. In this paper, a wireless network was established which has one access point. OPNET IT Guru Simulator (Academic edition) was used to simulate the entire network. Thus the effects of varying some network parameters such as the data-rate, buffer-sizes, and fragmentation threshold were observed on the throughput performance metric. Several simulation graphs were obtained and used to analyze the network performance.

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Performance evaluation of the IEEE 802.11a and b WLAN physical layer on the Martian surface

Cited by 7 publications

References 7 publications

Terrain-based simulation of IEEE 802.11a and b physical layers on the martian surface

Terrain-based simulation of IEEE 802.11a and b physical layers on the martian surface

Rising up the Performance of Wireless Local Area Network by Varying Fragmentation Threshold using OPNET

Throughput Analysis of Ieee802.11b Wireless Lan With One Access Point Using Opnet Simulator

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