Optimality of Treating Inter-Cell Interference as Noise under Finite Precision CSIT

Hamdi Joudeh, Giuseppe Caire

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

In this work, we study the generalized degrees- of-freedom (GDoF) of downlink and uplink cellular networks, modeled as Gaussian interfering broadcast channels (IBC) and Gaussian interfering multiple access channels (IMAC), respectively. We focus on regimes of low inter-cell interference, where single-cell transmission with power control and treating inter-cell interference as noise (mc-TIN) is GDoF optimal. Recent works have identified two relevant regimes in this context: one in which the GDoF region achieved through mc-TIN for both the IBC and IMAC is a convex polyhedron without the need for time-sharing (mc-CTIN regime), and a smaller (sub)regime where mc-TIN is GDoF optimal for both the IBC and IMAC (mc-TIN regime). In this work, we extend the mc-TIN framework to cellular scenarios where channel state information at the transmitters (CSIT) is limited to finite precision. We show that in this case, the GDoF optimality of mc-TIN extends to the entire mc-CTIN regime, where GDoF benefits due to interference alignment (IA) are lost. Our result constitutes yet another successful application of robust outer bounds based on the aligned images (AI) approach.

Originele taal-2Engels
Titel2020 IEEE International Symposium on Information Theory, ISIT 2020 - Proceedings
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's2936-2941
Aantal pagina's6
ISBN van elektronische versie9781728164328
DOI's
StatusGepubliceerd - jun 2020
Extern gepubliceerdJa
Evenement2020 IEEE International Symposium on Information Theory, ISIT 2020 - Los Angeles, Verenigde Staten van Amerika
Duur: 21 jun 202026 jun 2020

Publicatie series

NaamIEEE International Symposium on Information Theory - Proceedings
Volume2020-June
ISSN van geprinte versie2157-8095

Congres

Congres2020 IEEE International Symposium on Information Theory, ISIT 2020
LandVerenigde Staten van Amerika
StadLos Angeles
Periode21/06/2026/06/20

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