The success of machine learning in domains such as computer vision and computer games has triggered a surge of interest in applying machine learning in computer networks. This …
C Wang, E Jonckheere… - 2016 American control …, 2016 - ieeexplore.ieee.org
This paper proceeds from the premise that the topology of interference constrained wireless networks heavily impacts their node-to-node delay, routing energy, and capacity region. We …
K Xu, L Lv, T Li, M Shen, H Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The increasing data requirements of Internet applications have driven a dramatic surge in developing new programming paradigms and complex scheduling algorithms to handle …
The last decade has seen an unprecedented growth in the demand for wireless services. These services are fueled by applications that often require not only high data rates, but also …
S Moharir, S Krishnasamy… - IEEE/ACM Transactions …, 2016 - ieeexplore.ieee.org
With increasing data demand, wireless networks are evolving to a hierarchical architecture where coverage is provided by both wide-area base stations (BS) and dense deployments …
Nowadays, wireless network technology is becoming an important thing to one's life as it provides assistance for different type of communications and thus changing the paradigm of …
The use of existing network devices as relays has a potential to improve the overall network performance. In this work, we consider a two-hop wireless relay setting, where the channels …
KS Liu, J Gao, S Lin, H Huang, B Schiller - Proceedings of the 17th ACM …, 2016 - dl.acm.org
Using optical sensors for indoor monitoring has been widely adopted in many smart building applications. An important design problem in this space is to explore the tradeoff between …