Ranjini Guruprasad

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Several energy saving techniques in cellular wireless networks such as active base station (BS) selection, transmit power budget adaptation and user association have been studied independently or only part of these aspects have been considered together in literature. In this paper, we jointly tackle these three problems and propose an integrated framework,(More)
With increasing usage of mobile devices to watch mobile video, the battery consumption of mobile devices will be dominated by video delivery and playback. In this paper, we develop battery efficient video delivery techniques that vary video transmission rate dynamically depending on battery and buffer levels of the mobile device, the channel conditions(More)
This paper reviews the application of principal soft computing techniques for the study of textile processes and products. Soft computing suggests a new computing methodology that is both flexible and easy. Three major branches of soft computing, namely fuzzy logic, neural networks, and genetic algorithms, are discussed in detail with respect to their(More)
The use of renewable energy (RE) sources is a promising solution to reduce grid power consumption and carbon dioxide emissions (CO2e) of cellular networks. However, the benefit of utilizing RE is limited by its highly intermittent and unreliable nature leading to mismatch between generation and base station (BS) needs, resulting in low savings in grid(More)
We propose a user quality of service (QoS) and base station (BS) resource utilization aware radio frequency (RF) chain switching technique among cooperating BSs, termed cooperative RFSnooze (Co-RFSnooze), to improve the power efficiency of cellular networks. The key idea is to maximize the number of RF chains that can be switched off in a cluster of(More)
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