TY - JOUR
T1 - On the broadcast latency in finite cooperative wireless networks
AU - Tukmanov, Anvar
AU - Ding, Zhiguo
AU - Boussakta, Said
AU - Jamalipour, Abbas
N1 - Funding Information:
Manuscript received August 16, 2011; revised November 2, 2011; accepted January 5, 2012. The associate editor coordinating the review of this letter and approving it for publication was S. D. Blostein. This work was supported in part by the Royal Society of Engineering Distinguished Visiting Fellowship Scheme Grant 10508/366 and the UK EPSRC Grant EP/I037423/1. A. Tukmanov, Z. Ding, and S. Boussakta are with the School of Electrical, Electronic, and Computer Engineering, Newcastle University, NE1 7RU, UK (e-mail: {anvar.tukmanov, zhiguo.ding, said.boussakta}@ncl.ac.uk). A. Jamalipour is with the School of Electrical and Information Engineering, University of Sydney, NSW, 2006, Australia (e-mail: [email protected]). Digital Object Identifier 10.1109/TWC.2012.020812.111545
PY - 2012/4
Y1 - 2012/4
N2 - The aim of this paper is to study the effect of cooperation on system delay, quantified as the number of retransmissions required to deliver a broadcast message to all intended receivers. Unlike existing works on broadcast scenarios, where distance between nodes is not explicitly considered, we examine the joint effect of small scale fading and propagation path loss. Also, we study cooperation in application to finite networks, i.e. when the number of cooperating nodes is small. Stochastic geometry and order statistics are used to develop analytical models that tightly match the simulation results for non-cooperative scenario and provide a lower bound for delay in a cooperative setting. We demonstrate that even for a simple flooding scenario, cooperative broadcast achieves significantly lower system delay.
AB - The aim of this paper is to study the effect of cooperation on system delay, quantified as the number of retransmissions required to deliver a broadcast message to all intended receivers. Unlike existing works on broadcast scenarios, where distance between nodes is not explicitly considered, we examine the joint effect of small scale fading and propagation path loss. Also, we study cooperation in application to finite networks, i.e. when the number of cooperating nodes is small. Stochastic geometry and order statistics are used to develop analytical models that tightly match the simulation results for non-cooperative scenario and provide a lower bound for delay in a cooperative setting. We demonstrate that even for a simple flooding scenario, cooperative broadcast achieves significantly lower system delay.
KW - Cooperative diversity
KW - network latency
KW - order statistics
KW - outage probability
KW - stochastic geometry
UR - http://www.scopus.com/inward/record.url?scp=84860216404&partnerID=8YFLogxK
U2 - 10.1109/TWC.2012.020812.111545
DO - 10.1109/TWC.2012.020812.111545
M3 - Article
AN - SCOPUS:84860216404
SN - 1536-1276
VL - 11
SP - 1307
EP - 1313
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 4
M1 - 6151768
ER -