### Resumé

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.

Originalsprog | Engelsk |
---|---|

Titel | Proceedings of ICC 2020 |

Antal sider | 6 |

Status | Accepteret/In press - 2020 |

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### Citer dette

*Proceedings of ICC 2020*

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*Proceedings of ICC 2020.*

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

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer 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 -