M
Milica Stojanovic
Researcher at Northeastern University
Publications - 333
Citations - 20043
Milica Stojanovic is an academic researcher from Northeastern University. The author has contributed to research in topics: Underwater acoustic communication & Communication channel. The author has an hindex of 62, co-authored 313 publications receiving 18218 citations. Previous affiliations of Milica Stojanovic include Dana Corporation & Massachusetts Institute of Technology.
Papers
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Journal ArticleDOI
Random Access Compressed Sensing over Fading and Noisy Communication Channels
TL;DR: This work provides a framework for system design under various fading conditions, and quantifies the bandwidth and energy requirements of RACS in fading, showing that for most practical values of the signal to noise ratio, energy utilization is higher in a fading channel than it is in a non-fading channel, while the minimum required bandwidth is lower.
Posted Content
Underwater Acoustic Networks: Channel Models and Network Coding based Lower Bound to Transmission Power for Multicast
TL;DR: In this paper, the authors proposed a network coding based lower bound for transmission power in underwater acoustic networks, and compared this bound to the performance of several network layer schemes in terms of convexity.
Proceedings ArticleDOI
Choosing the packet size in multi-hop underwater networks
TL;DR: Two MAC layer protocols are considered for multi-hop underwater acoustic networks: Pure CSMA, suitably configured to perform over a long-delay channel, and the Distance-Aware Collision Avoidance Protocol, a protocol specifically designed for collision avoidance via a distributed coordination function à la IEEE 802.11.
Journal ArticleDOI
Efficient Channel-Estimation-Based Multiuser Detection for Underwater CDMA Systems
Eduard Calvo,Milica Stojanovic +1 more
TL;DR: A multiuser detection (MUD) algorithm for joint data detection and channel estimation based on the cyclic coordinate descent method is proposed, motivated by finding reduced complexity versions of the maximum-likelihood (ML) detector for highly distorted underwater channels.
Journal ArticleDOI
Comprehensive Survey of Galvanic Coupling and Alternative Intra-Body Communication Technologies
TL;DR: This is the first work that encapsulates the state of the art and current research trends for several different types of IBC solutions, a topic that promises to revolutionize the future of healthcare.