Linear Combining in Dependent α-Stable Interference

Ce Zheng*, Laurent Clavier, Malcom Egan, Troels Pedersen, Jean-Marie Gorce

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Resumé

Recently, there has been a proliferation of wireless
communication technologies in unlicensed bands for the Internet
of Things. A key question is whether these networks can coexist
given that they have different power levels, symbol periods,
and access protocols. The main challenge is to characterize
the impact of mutual interference arising from distinct uncoordinated
networks. It is known that when interferers form
a homogeneous Poisson point process and transmit only on a
single subband, the interference is often well-modeled by the
heavy-tailed α-stable distribution. In this paper, we focus on
the scenario where interferers transmit on multiple subbands.
Under a policy where each interferer independently accesses each
band with probability p, we provide an exact characterization of
the interference random vector. Exploiting this characterization,
we derive optimal linear combining weights and an analytical
approximation for the bit error rate (BER), accurate for large
transmit power. A key observation is that the expression for the
BER admits an interpretation in terms of an array gain and a
fractional diversity gain.
OriginalsprogEngelsk
TitelProceedings of ICC 2020
Antal sider6
StatusAccepteret/In press - 2020

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Zheng, C., Clavier, L., Egan, M., Pedersen, T., & Gorce, J-M. (Accepteret/In press). Linear Combining in Dependent α-Stable Interference. I Proceedings of ICC 2020
Zheng, Ce ; Clavier, Laurent ; Egan, Malcom ; Pedersen, Troels ; Gorce, Jean-Marie. / Linear Combining in Dependent α-Stable Interference. Proceedings of ICC 2020. 2020.
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Zheng, C, Clavier, L, Egan, M, Pedersen, T & Gorce, J-M 2020, Linear Combining in Dependent α-Stable Interference. i Proceedings of ICC 2020.

Linear Combining in Dependent α-Stable Interference. / Zheng, Ce; Clavier, Laurent; Egan, Malcom ; Pedersen, Troels; Gorce, Jean-Marie.

Proceedings of ICC 2020. 2020.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

T1 - Linear Combining in Dependent α-Stable Interference

AU - Zheng, Ce

AU - Clavier, Laurent

AU - Egan, Malcom

AU - Pedersen, Troels

AU - Gorce, Jean-Marie

PY - 2020

Y1 - 2020

N2 - Recently, there has been a proliferation of wirelesscommunication technologies in unlicensed bands for the Internetof Things. A key question is whether these networks can coexistgiven that they have different power levels, symbol periods,and access protocols. The main challenge is to characterizethe impact of mutual interference arising from distinct uncoordinatednetworks. It is known that when interferers forma homogeneous Poisson point process and transmit only on asingle subband, the interference is often well-modeled by theheavy-tailed α-stable distribution. In this paper, we focus onthe scenario where interferers transmit on multiple subbands.Under a policy where each interferer independently accesses eachband with probability p, we provide an exact characterization ofthe interference random vector. Exploiting this characterization,we derive optimal linear combining weights and an analyticalapproximation for the bit error rate (BER), accurate for largetransmit power. A key observation is that the expression for theBER admits an interpretation in terms of an array gain and afractional diversity gain.

AB - Recently, there has been a proliferation of wirelesscommunication technologies in unlicensed bands for the Internetof Things. A key question is whether these networks can coexistgiven that they have different power levels, symbol periods,and access protocols. The main challenge is to characterizethe impact of mutual interference arising from distinct uncoordinatednetworks. It is known that when interferers forma homogeneous Poisson point process and transmit only on asingle subband, the interference is often well-modeled by theheavy-tailed α-stable distribution. In this paper, we focus onthe scenario where interferers transmit on multiple subbands.Under a policy where each interferer independently accesses eachband with probability p, we provide an exact characterization ofthe interference random vector. Exploiting this characterization,we derive optimal linear combining weights and an analyticalapproximation for the bit error rate (BER), accurate for largetransmit power. A key observation is that the expression for theBER admits an interpretation in terms of an array gain and afractional diversity gain.

M3 - Article in proceeding

BT - Proceedings of ICC 2020

ER -

Zheng C, Clavier L, Egan M, Pedersen T, Gorce J-M. Linear Combining in Dependent α-Stable Interference. I Proceedings of ICC 2020. 2020