Optimization of antenna beam pattern in ad hoc networks for optimal global performance

Ramakrishnaiah, Vinay; Kubichek, Robert F.; Muknahallipatna, Suresh

doi:10.1109/mwscas.2015.7282046

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…The required processing power and complexity of these advanced techniques limit their use in wireless ad hoc networks. [6] [7] [8] describe phase-only antenna arrays that achieve optimal beam patterns with maximum average network signal-to-noise ratio (SNR). They use a hybrid analog/digital beamformer to steer the antenna beams using a single transceiver, power splitter/combiner, and electronically controlled analog phase shifters.…”

Section: Introductionmentioning

confidence: 99%

Mitigation of Terrain Effects using Beamforming Antennas in Ad Hoc Networks

Ramakrishnaiah

Kubichek

Muknahallipatna

2018

TNC

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Wireless communication is sensitive to ambient noise as well as interference due to the use of a shared medium. The link quality is significantly affected by the surrounding terrain including buildings, hills, foliage, etc. Terrain changes also pose a problem for communication and localization in mobile ad-hoc networks and in the deployment of Internet of Things (IoT). Many of these problems can be addressed through careful antenna design, but these can be challenging as they require complex hardware and software. We propose a new approach called virtual terrain leveling (VTL), which acts as a trade-off between the complex antenna design approaches and the simple omni-directional antennas. VTL virtually nullifies the effects of the terrain using phased array antennas to compensate for the path losses. Convex optimization and the Nelder-Mead simplex method are used to compute the antenna array weights that minimize the error between the ideal and achieved beam patterns. Simulations are performed in the presence of different terrains and the received power at varying distances from the transmitter is analyzed. The results show improved received power up to a specified distance from the transmitter and then power decays rapidly with increasing distance, indicating interference reduction.

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Section: Introductionmentioning

confidence: 99%

Mitigation of Terrain Effects using Beamforming Antennas in Ad Hoc Networks

Ramakrishnaiah

Kubichek

Muknahallipatna

2018

TNC

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“…Since there is little established previous research on network-optimized antenna beamforming [1], we initially focus on fixed non-mobile networks such as wireless mesh sensor networks where node locations are known a-priori.…”

Section: Introductionmentioning

confidence: 99%

Nelder-Mead Based Iterative Algorithm for Optimal Antenna Beam Patterns in Ad Hoc Networks

Ramakrishnaiah¹,

Kubichek²,

Muknahallipatna³

2017

JCC

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Directional antennas shape transmission patterns to provide greater coverage distance and reduced coverage angle. Use of adaptive directional antenna arrays can minimize interference while also being more energy efficient. When used in an ad-hoc network, this reduces interference among transmitting nodes and thereby increases throughput. Such "smart antennas" use digital beamforming based on signal processing algorithms to compute the appropriate weights to form effective antenna patterns. Smart antennas require the knowledge of the signal received at each antenna in the antenna array, thereby increasing the complexity of hardware and cost. Also, conventional smart antennas optimize results for each individual node, while it is preferable to have a global optimal solution. A problem that has not been addressed is how to compute individual beam patterns that maximize some measure of global network performance. Historically, the focus has been on finding node antenna patterns that give locally optimal performance. In this paper, we investigate a low hardware complexity beamforming approach aimed at improving global performance that uses average Noise-to-Signal ratio as the performance measure. Given a multi-hop route from source to destination, beam patterns are shaped to maximize average signal-to-noise ratio across all nodes on the route, which reduces bit-error rates and extends battery and network lifetime. The antenna weights are sequentially adjusted across all nodes in the route to achieve optimization across the network. By using phase-only weights, hardware costs are minimized. The performance of the algorithm using different path loss models is explored.

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“…The application of radio propagation maps in localizing nodes, and antenna beam forming [2] [3] [4] [5] has been demonstrated by the authors of this paper. The first application addressing efficient localization of nodes of a MANET under free space and terrain effects is discussed in references [2] [3] [4].…”

Section: Introductionmentioning

confidence: 99%

“…Next, the algorithm developed by O'Rourke [7] was used to determine the area of intersection of two radio propagation maps using the constructed convex hulls. The second application consists of using low-resolution radio propagation map for computing antenna beam patterns [5] to reduce the interference by neighboring nodes.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Region Construction for Efficient Use of Radio Propagation Maps

Ramakrishnaiah¹,

Muknahallipatna²,

Kubichek³

2017

JCC

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The efficient construction of contours of a radio propagation map is crucial in using radio propagation maps in a number of real-time communication and network applications. In this research work, we first propose an adaptive region construction (ARC) technique capable of constructing contours of different resolutions of a radio propagation map. Next, the process of implementing the ARC technique for real-time execution on a GPU is presented. The drawbacks of the first implementation using only the global memory are discussed, and optimization techniques to improve the performance are discussed and implemented. Simulations are performed with varying sizes of radio propagation maps, and the suitability of the ARC technique for real-time operation is presented. A speedup of 25× is achieved with the shared version of the GPU compared to the sequential CPU implementation. Also, the contour constructed using the ARC technique is compared to that constructed using the convex hull approach demonstrating the higher accuracy of the contour from the ARC technique.

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Optimization of antenna beam pattern in ad hoc networks for optimal global performance

Cited by 5 publications

References 7 publications

Mitigation of Terrain Effects using Beamforming Antennas in Ad Hoc Networks

Mitigation of Terrain Effects using Beamforming Antennas in Ad Hoc Networks

Nelder-Mead Based Iterative Algorithm for Optimal Antenna Beam Patterns in Ad Hoc Networks

Adaptive Region Construction for Efficient Use of Radio Propagation Maps

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