Paper Info
Title
A Stochastic Geometry Framework for Full-Duplex Machine Type Communications.
Abstract
This paper focuses on the role played by in-band full-duplex in asynchronous random access networks. With an eye on 5G, we tackle a scenario characterised by a large population of uncoordinated users exchanging sporadic traffic in the form of short data packets. In this context, we introduce an analytical framework based on stochastic geometry that captures the tradeoffs induced by the presence of some full-duplex links. Via closed-form expressions, we study the behaviour of the system as a function of the packet length, and derive the optimal fraction of full-duplex communications that shall be performed to maximise the network throughput. The role of imperfect self-interference cancellation is accurately accounted for, drawing interesting insights on the benefits, the design tradeoffs and the challenges to be solved when applying full duplex to machine type communications.
Year
DOI
Venue
2015
10.1007/978-3-319-27072-2_6
Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering
Keywords
DocType
Volume
Full-Duplex,Stochastic geometry,Aloha,M2M communications
Conference
159
ISSN
Citations 
PageRank 
1867-8211
0
0.34
References 
Authors
5
3
Name
Order
Citations
PageRank
Andrea Munari112823.33
Petri Mähönen21610150.99
Marina Petrova357465.84