Paper Info
Title
Dynamic Joint Phy-Mac Waveform Design For Iot Connectivity
Abstract
We envision dense network deployments of Internet-ofThings (IoT) connected devices that report data to a common base station (BS). The devices utilize repeats of a basic shaping pulse occupying the entire continuum of the device-accessible spectrum. We propose an optimal algorithm to adaptively design sparse waveforms with well-placed energy that maximize the signal-to-interference-plus-noise ratio (SINR) at the output of the maximum-SINR linear filter at the BS. Additionally, we propose a computationally efficient suboptimal waveform design algorithm for the same problem. Simulation studies show that the proposed waveform designs attain superior pre-detection SINR performance than conventional binary, quaternary, and sparse-binary/quaternary waveform designs, thus offering a promising PHY-MAC approach to maintain wireless connectivity in overloaded network setups.
Year
DOI
Venue
2019
10.1109/icassp.2019.8683748
2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
Keywords
Field
DocType
Waveform design, channelization, all-spectrum, IoT, interference-avoidance
Base station,Mathematical optimization,Linear filter,Computer science,Waveform,Internet of Things,Electronic engineering,PHY,Wireless connectivity,Binary number
Conference
ISSN
Citations 
PageRank 
1520-6149
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
konstantinos tountas1152.51
George Sklivanitis2497.11
Dimitris Pados320826.49