Interference Mitigation on WLANs Using Smart Antennas

Babich, F.; Comisso, M.; D'Orlando, M.; Mania, L.

doi:10.1007/s11277-005-9007-4

Cited by 15 publications

(9 citation statements)

References 18 publications

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“…A more recent development is the use of electronically steerable directional or phase array antennas [10,5,16]. These antennas provide better network performance by controlling the radiation pattern of the antenna, increasing the gain (strength of the transmitted and received signal).…”

Section: Introductionmentioning

confidence: 99%

Modeling environmental effects on directionality in wireless networks

Anderson

Phillips

Sicker

et al. 2009

2009 7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks

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As the demand for wireless networks grows, the research community continues to seek methods for improving network performance. On method for improving network throughput involves using directional antennas to increase signal gain and/or decrease interference. The physical-layer models used in current networking simulators only minimally address the interaction of directional antennas and radio propagation. This paper compares the models found in popular simulation tools with measurements taken across a variety of links in multiple environments. We find that the effects of antenna direction are significantly different from the models used by the common wireless network simulators.We propose a parametric model which better captures the effects of different propagation environments on directional antenna systems; we also show that the derived models are sensitive to both the direction of signal gain and the environment in which the antenna is used. Equally important, we demonstrate how researchers can use inexpensive equipment to record data for their own environments. Although we use sensitive vector signal analyzers in our measurements, we show that using commodity wireless networking cards produces effectively equivalent models. We believe that a combination of the specific model we propose and the process by which we gather data to derive that model will influence the simulated performance of wireless network protocols that rely on directional antennas, providing a more realistic assessment of those protocols. We also offer some general guidance for researchers attempting to use directional antennas to modify a wireless network topology or reduce interference.

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Section: Introductionmentioning

confidence: 99%

Modeling environmental effects on directionality in wireless networks

Anderson

Phillips

Sicker

et al. 2009

2009 7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks

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show abstract

“…The protocols cannot completely overcome the problem that arise due to use of such antennas and are not yet designed to completely cope with mobility. The effects of interference and multipath on MAC protocols has been analyzed F. babich et all for WLANs with nodes employing smart antennas at physical layer [6].which shows that Adaptive arrays may guarantee a higher robustness but omnidirectional antenna reception does not perform satisfactorily.…”

Section: Related Workmentioning

confidence: 99%

Performance of AODV, GRP and OLSR Routing Protocols in Adhoc Network with Directional Antennas

Singh¹,

Singh²

2013

IJCA

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Wireless adhoc netwok is a decentralized type of wireless network, it does not rely on a preexisting infrastructure. These types of networks are used in situations where temporary network connectivity is needed. This research paper explores the effect of using directional antennas in ad hoc network. Antenna patterns of omni directional and directional antenna have been developed using the OPNET Modeler 14.0. Simulation scenarios have been created for both antennas with three routing protocols AODV, GRP, OLSR. From the results of the simulation, we observe that data dropped rate (Retry threshold), Load and Delay graphs in case of directional antenna network shows better performance than omni directional antenna network. Among three routing protocols which we have used in our network model, OLSR routing protocol shows better performance and high throughput for directional antennas as compare to AODV and GRP routing protocols.

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“…Due to the capability to implement adaptive beamforming and interference suppression, smart antenna can considerably improve the system capacity and expand the area within the range of wireless network communication systems [1][2][3][4][5][6]. The consideration of smart antenna system using a uniform circular pin-fed linearly polarized patch antenna offers the advantages of light weight, low cost, planar or conformal, and ability of integration with the circuitry of signal processing and electronic system [7,8]. Some of the parameters that determine the performance of the microstrip patch antenna are: dimension, low cost, light weight, frequency of operation, radiation efficiency, directivity, return loss; which is the loss of power in the signal by interruption in a communication line [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Design of Smart Antenna by Circular Pin-Fed Linearly Polarized Patch Antenna

Oluwole¹,

Srivastava²

2016

IJWMT

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For the transmission of signals at higher frequencies, there is a requirement for extension of a higher capacity system and higher bandwidth in wireless communication systems. The use of smart antenna increases the system performance with the arrangements of its constituent elements and digital signal processing capacity. Analysis and design of smart antenna arrays can be performed for wireless communication systems using various methods and approaches. One of these methods is circular pin-fed linearly polarized patch antenna has been adopted in this research work.This work presents the design and analysis of smart antenna by circular pin-fed linearly polarized patch antenna. Patch antenna is a very prominent antenna in the microwave frequency spectrum due to its simplicity and compatibility with the printed circuit board (PCB) technology. (2012) in the field of RF Microelectronics and VLSI Design from Jaypee University of Information Technology, Solan, Himachal Pradesh, India and received the Master degree (2008) in VLSI design from Centre for Development of Advanced Computing (C-DAC), Noida, India and the Bachelor degree (2002) in Electronics and Instrumentation Engineering from the Rohilkhand University, Bareilly, India. He was with the Semiconductor Process and Wafer Fabrication Centre of BEL Laboratories, Bangalore, India, where he worked on characterization of MOS devices, fabrication of devices and development of circuit design. Currently, he is a faculty in Department of Electronics Engineering, School of Engineering, Howard College, University of KwaZulu-Natal, Durban, South Africa. His research and teaching interests includes VLSI design, Nanotechnology, RF design and CAD with particular emphasis in low-power design, Chip designing, Antenna Designing, VLSI testing and verification and Wireless communication systems. Prof. Viranjay M. Srivastava is a DoctorateHe has more than 11 years of teaching and research experience in the area of VLSI design, RFIC design, and Analog IC design. He has supervised a number of B. Tech. and M. Tech. theses. He is a member of IEEE, ACEEE and IACSIT. He has worked as a reviewer for several conferences and Journals both national and international. He is author of more than 80 scientific contributions including articles in international refereed Journals and Conferences and also author of following books, 1) VLSI Technology, 2) Characterization of C-V curves and Analysis, Using VEE Pro Software: After Fabrication of MOS Device, and 3) MOSFET

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Interference Mitigation on WLANs Using Smart Antennas

Cited by 15 publications

References 18 publications

Modeling environmental effects on directionality in wireless networks

Modeling environmental effects on directionality in wireless networks

Performance of AODV, GRP and OLSR Routing Protocols in Adhoc Network with Directional Antennas

Design of Smart Antenna by Circular Pin-Fed Linearly Polarized Patch Antenna

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