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Muhammad Asad Ullah

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.ET1
  • cs.IT1
ORCID 0000-0003-3594-8910

identity via Semantic Scholar / OpenAlex

most citedEnergy Efficiency Optimization for Subterranean LoRaWAN Using A Reinforcement Learning Approach: A Direct-to-Satellite Scenario

14 citations · 15 across the 2 of their papers we have counts for

collaborators

2 papers

cs.ET2024★ 1 cited

Experiment-based Models for Air Time and Current Consumption of LoRaWAN LR-FHSS

Muhammad Asad Ullah, Konstantin Mikhaylov, Hirley Alves

Long Range - Frequency Hopping Spread Spectrum (LR-FHSS) is an emerging and promising technology recently introduced into the LoRaWAN protocol specification for both terrestrial an…

cs.IT2023★ 14 cited

Energy Efficiency Optimization for Subterranean LoRaWAN Using A Reinforcement Learning Approach: A Direct-to-Satellite Scenario

Kaiqiang Lin, Muhammad Asad Ullah, Hirley Alves +2

The integration of subterranean LoRaWAN and non-terrestrial networks (NTN) delivers substantial economic and societal benefits in remote agriculture and disaster rescue operations.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.