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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.

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Proceedings ArticleDOI

Performance of multiuser detection with adaptive channel estimation

TL;DR: An adaptive decorrelating multiuser detector is considered for application in Rayleigh fading multipath channels with significant fading rate (Doppler spread) and results demonstrate performance sensitivity to the choice of the LMS step size when the channel is modeled as a second-order AR process.
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Adaptive OFDM for underwater acoustic channels with limited feedback

TL;DR: This paper analyzes the performance of adaptive orthogonal frequency division multiplexing (OFDM) for underwater acoustic (UWA) communications and considers two different schemes based on the level of adaptivity, which require significantly fewer feedback bits for the same system throughput.
Proceedings ArticleDOI

A simple design for joint channel estimation and data detection in an Alamouti OFDM system

TL;DR: In this paper, the authors proposed an Alamouti space-time code design on a time-varying acoustic channel, where the channel variation is decoupled into two parts: the gain, which is assumed to be constant over two consecutive OFDM blocks, and the phase which is allowed to vary from one block to another in a piecewise linear fashion.
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Experimental assessment of human-body-like tissue as a communication channel for galvanic coupling

TL;DR: This work is focused on channel characterization of the human body tissues considering the propagation of such electrical signals through it that carry data.

Random linear packet coding for fading channels

TL;DR: Random linear packet coding is considered for use over underwater acoustic channels where long delays challenge the efficiency of standard ARQ, and it is shown that there exists an optimal transmission power for which the average energy per bit is minimized.