Investigation of secure wireless regions using configurable beamforming on WARP

Zhang, Yuanrui; Yin, Bei; Woods, Roger; Cavallaro, Joseph R.; Marshall, Alan; Ko, Youngwook

doi:10.1109/acssc.2014.7094817

Cited by 3 publications

(8 citation statements)

References 8 publications

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“…Finally, we have generated some real-time experimental results for weight adaptation and error. The experimental set-up has the following major components, (a) WARP v3 kit 21,22 , (b) Arduino UNO, (c) Servo motor, (d) Microstrip antenna array, and (e) Semi-anechoic chamber.…”

Section: Testbed Design For Smart Antenna: System Overviewmentioning

confidence: 99%

“…(a) WARP v3 kit 21,22 , (b) Arduino UNO, (c) Servo motor, (d) Microstrip antenna array, and (e) Semi‐anechoic chamber.…”

Section: Testbed Design For Smart Antenna: System Overviewmentioning

confidence: 99%

“…The new contribution of this paper includes the generations of experimental results for weight convergence of LMS, RLS, and SMI for different step sizes, forgetting factors, and block sizes to validate the simulation results. The novel contribution of this paper lies in the building of an adaptive beamforming system using a hardware testbed in the laboratory with an field programmable gate array (FPGA)‐based reconfigurable structure namely wireless open‐access research platform (WARP) boards 21,22 . The built‐in testbed showcases the adaptive beam shaping results.…”

Section: Introductionmentioning

confidence: 99%

“…The novel contribution of this paper lies in the building of an adaptive beamforming system using a hardware testbed in the laboratory with an field programmable gate array (FPGA)-based reconfigurable structure namely wireless open-access research platform (WARP) boards. 21,22 The built-in testbed showcases the adaptive beam shaping results.…”

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confidence: 99%

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Revisiting smart antenna array design with multiple interferers using basic adaptive beamforming algorithms: Comparative performance study with testbed results

Imtiaj

Misra

Bhattacharya

2020

Engineering Reports

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Smart antennas are becoming popular in the area of cellular wireless communication for capacity enhancement and reduction of the multipath effect and interference. The demand for smart antennas is widely increasing as 5G cellular communication evolves to support the higher data rate and bandwidth. The basic principle of smart antenna design is adaptive beamforming using the best suited digital signal processing algorithms, such as least mean square (LMS), normalized least mean square (NLMS), sample matrix inversion (SMI), and recursive least square (RLS), each having its pros and cons. Among these, the LMS and NLMS are iterative approaches while SMI is a block adaptive method and RLS is a recursive method. The contribution of this article includes easy implementation of four adaptive beamforming algorithms, namely LMS, NLMS, SMI, and RLS. Furthermore, an exhaustive comparative performance analysis is carried out under five interferers and evaluated in terms of beamwidth, null depth, maximum sidelobe level, rate of convergence, error variation for the number of antenna elements, and spacing. Finally, a contrast table is presented to demonstrate the pros and cons of the listed algorithms. Time and dynamic space complexity are studied for RLS and SMI beamforming algorithms. Performance results from a designed reconfigurable testbed model for weight adaptation and smart beamforming are also presented for analysis and a better understanding of the real implementation of the smart algorithms through testbed design. The simulation and testbed results create the ground work for future exploration in the design of smart antenna beamforming.

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Section: Testbed Design For Smart Antenna: System Overviewmentioning

confidence: 99%

“…(a) WARP v3 kit 21,22 , (b) Arduino UNO, (c) Servo motor, (d) Microstrip antenna array, and (e) Semi‐anechoic chamber.…”

Section: Testbed Design For Smart Antenna: System Overviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Revisiting smart antenna array design with multiple interferers using basic adaptive beamforming algorithms: Comparative performance study with testbed results

Imtiaj

Misra

Bhattacharya

2020

Engineering Reports

View full text Add to dashboard Cite

show abstract

“…Mutual coupling is the electromagnetic interaction between the antenna elements of an array and is always associated with multiple antenna techniques [20], [21]. In [22], it has been shown that linear arrays are susceptible to mutual coupling, thus rendering no effective optimum solution for minimizing the SSOP. On the other hand, the UCA is less affected and produces a more symmetric beam pattern around 360…”

Section: Introductionmentioning

confidence: 99%

Security Optimization of Exposure Region-Based Beamforming With a Uniform Circular Array

Zhang

Woods

et al. 2018

IEEE Trans. Commun.

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Defining Spatial Secrecy Outage Probability for Exposure Region-Based Beamforming

Zhang

Woods

et al. 2017

IEEE Trans. Wireless Commun.

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With increasing number of antennae in base stations, there is considerable interest in using beamfomining to improve physical layer security, by creating an 'exposure region' that enhances the received signal quality for a legitimate user and reduces the possibility of leaking information to a randomly located passive eavesdropper. The paper formalises this concept by proposing a novel definition for the security level of such a legitimate transmission, called the 'Spatial Secrecy Outage Probability' (SSOP). By performing a theoretical and numerical analysis, it is shown how the antenna array parameters can affect the SSOP and its analytic upper bound. Whilst this approach may be applied to any array type and any fading channel model, it is shown here how the security performance of a uniform linear array varies in a Rician fading channel by examining the analytic SSOP upper bound.

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Investigation of secure wireless regions using configurable beamforming on WARP

Cited by 3 publications

References 8 publications

Revisiting smart antenna array design with multiple interferers using basic adaptive beamforming algorithms: Comparative performance study with testbed results

Revisiting smart antenna array design with multiple interferers using basic adaptive beamforming algorithms: Comparative performance study with testbed results

Security Optimization of Exposure Region-Based Beamforming With a Uniform Circular Array

Defining Spatial Secrecy Outage Probability for Exposure Region-Based Beamforming

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