Thanh Tu Lam
Université Paris-Saclay
9 Papers
66 Citations
Thanh Tu Lam is an academic researcher from Université Paris-Saclay. The author has contributed to research in topics: Stochastic geometry & Computer science. The author has an hindex of 7, co-authored 9 publications.
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Papers
System-Level Modeling and Optimization of the Energy Efficiency in Cellular Networks—A Stochastic Geometry Framework
TL;DR: In this paper, a new closed-form analytical expression of the potential spectral efficiency (bit/sec/m2) was proposed for downlink cellular networks, which is obtained by generalizing the definition of coverage probability and by accounting for the sensitivity of the receiver not only during decoding of information data, but during the cell association phase as well.
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Model-Aided Wireless Artificial Intelligence: Embedding Expert Knowledge in Deep Neural Networks Towards Wireless Systems Optimization
TL;DR: Two methods that implement this strategy to optimize wireless communication networks and provide numerical results to assess the performance of the proposed approaches compared with purely data-driven implementations are described.
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System-Level Analysis of SWIPT MIMO Cellular Networks
TL;DR: It is unveiled that large-scale antenna arrays and ultra-dense deployments of base stations are both necessary to harvest, with high reliability, an amount of power of the order of a milliwatt.
On the Energy Efficiency of Heterogeneous Cellular Networks With Renewable Energy Sources—A Stochastic Geometry Framework
Thanh Tu Lam,Marco Di Renzo +1 more
TL;DR: An analytical approach for modeling and analyzing the performance of multi-tier cellular networks that are powered by the power grid and by renewable energy sources is introduced and the accuracy and performance trends inferred are substantiated with the aid of extensive Monte Carlo simulations.
A Tractable Closed-Form Expression of the Coverage Probability in Poisson Cellular Networks
TL;DR: A thorough comparison between the two definitions of coverage shows that the definition introduced by Di Renzo et al. provides one with a tractable and closed-form approximation of the SINR-coverage, which is proved to be an upper-bound in relevant operating regimes.