Manu Gupta on Muck Rack

Manu Gupta

As seen in: ZDNet, Medium, MSN India, Nature, Taylor & Francis Online, Outlook (India), The Hindu, Science Magazine, Business Standard, The Quint, Free Press Journal (India) and
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Articles

Reducing normalized mean square error during channel estimation using minimum pilot symbols in massive MIMO network

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By Manu Gupta, Rohit Anand, Nidhi Sindhwani, Simrandeep Singh, A. Johnson Santhosh, Swapna Tangelapalli
| Nature
Abstract Deep Learning technology has emerged as an exciting innovation in the field of applications in wireless communications systems. In this proposed work, fully connected neural network based on deep learning (DL-FCNN) as well as convolutional neural network (CNN) models were employed to determine the channel state information by estimating channel coefficients using a minimal number of pilot symbols.
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The Communication Gap: Why Digital Health Governance in LMICs Needs a Strategic Shift

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By Manu Gupta
| internationalhealthpolicies.org
The global healthcare landscape is currently witnessing a digital renaissance. Across Low- and Middle-Income Countries (LMICs), the acceleration of telehealth, AI-enabled diagnostics, and national digital health missions—aligned with the WHO Global Strategy on Digital Health 2020–2027—promises a future where geography no longer dictates the quality of care. However, beneath the veneer of high-tech progress lies a sobering reality.
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Fair cost savings allocation in two-stage fixed-cost transportation problem

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By Gopal Saha, Manu Gupta
| Taylor & Francis Online
Abstract This paper navigates the economic efficiency in a two-stage fixed-cost transportation problem (TS-FCTP), employing cooperative game theory (CGT) for fair allocation in a shared transportation network. Collaboration among Logistics Service Providers (LSPs) in a multi-echelon supply chain network, such as in TS-FCTP, emerges as a pivotal strategy to reduce costs and enhance network efficiency.
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