Interference MAC: Impact of improper Gaussian signaling on the rate region Pareto boundary

Handle URI:
http://hdl.handle.net/10754/626602
Title:
Interference MAC: Impact of improper Gaussian signaling on the rate region Pareto boundary
Authors:
Kariminezhad, Ali; Chaaban, Anas ( 0000-0002-8713-5084 ) ; Sezgin, Aydin
Abstract:
Meeting the challenges of 5G demands better exploitation of the available spectrum by allowing multiple parties to share resources. For instance, a secondary unlicensed system can share resources with the cellular uplink of a primary licensed system for an improved spectral efficiency. This induces interference which has to be taken into account when designing such a system. A simple yet robust strategy is treating interference as noise (TIN), which is widely adapted in practice. It is thus important to study the capabilities and limitations of TIN in such scenarios. In this paper, we study this scenario modelled as multiple access channel (MAC) interfered by a Point-to-Point (P2P) channel, where we focus on the characterization of the rate region. We use improper Gaussian signaling (instead of proper) at the transmitters to increase the design flexibility, which offers the freedom of optimizing the transmit signal pseudo-variance in addition to its variance. We formulate the weighted max-min problem as a semidefinite program, and use semidefinite relaxation (SDR) to obtain a near-optimal solution. Numerical optimizations show that, by improper Gaussian signaling the achievable rates can be improved upto three times when compared to proper Gaussian signaling.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Kariminezhad A, Chaaban A, Sezgin A (2017) Interference MAC: Impact of improper Gaussian signaling on the rate region Pareto boundary. 2017 25th European Signal Processing Conference (EUSIPCO). Available: http://dx.doi.org/10.23919/eusipco.2017.8081668.
Publisher:
IEEE
Journal:
2017 25th European Signal Processing Conference (EUSIPCO)
Issue Date:
2-Nov-2017
DOI:
10.23919/eusipco.2017.8081668
Type:
Conference Paper
Additional Links:
http://ieeexplore.ieee.org/document/8081668/
Appears in Collections:
Conference Papers; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorKariminezhad, Alien
dc.contributor.authorChaaban, Anasen
dc.contributor.authorSezgin, Aydinen
dc.date.accessioned2018-01-01T12:19:02Z-
dc.date.available2018-01-01T12:19:02Z-
dc.date.issued2017-11-02en
dc.identifier.citationKariminezhad A, Chaaban A, Sezgin A (2017) Interference MAC: Impact of improper Gaussian signaling on the rate region Pareto boundary. 2017 25th European Signal Processing Conference (EUSIPCO). Available: http://dx.doi.org/10.23919/eusipco.2017.8081668.en
dc.identifier.doi10.23919/eusipco.2017.8081668en
dc.identifier.urihttp://hdl.handle.net/10754/626602-
dc.description.abstractMeeting the challenges of 5G demands better exploitation of the available spectrum by allowing multiple parties to share resources. For instance, a secondary unlicensed system can share resources with the cellular uplink of a primary licensed system for an improved spectral efficiency. This induces interference which has to be taken into account when designing such a system. A simple yet robust strategy is treating interference as noise (TIN), which is widely adapted in practice. It is thus important to study the capabilities and limitations of TIN in such scenarios. In this paper, we study this scenario modelled as multiple access channel (MAC) interfered by a Point-to-Point (P2P) channel, where we focus on the characterization of the rate region. We use improper Gaussian signaling (instead of proper) at the transmitters to increase the design flexibility, which offers the freedom of optimizing the transmit signal pseudo-variance in addition to its variance. We formulate the weighted max-min problem as a semidefinite program, and use semidefinite relaxation (SDR) to obtain a near-optimal solution. Numerical optimizations show that, by improper Gaussian signaling the achievable rates can be improved upto three times when compared to proper Gaussian signaling.en
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/document/8081668/en
dc.subjectImproper Gaussian signalingen
dc.subjectrate maximizationen
dc.subjectpartial interference multiple access channelen
dc.subjectPareto boundaryen
dc.subjectaugmented covariance matrixen
dc.titleInterference MAC: Impact of improper Gaussian signaling on the rate region Pareto boundaryen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journal2017 25th European Signal Processing Conference (EUSIPCO)en
dc.contributor.institutionInstitute of Digital Communication Systems, Ruhr-Universit├Ąt Bochum (RUB), Germanyen
kaust.authorChaaban, Anasen
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