Performance improvement of long distance MIMO links using cross polarized antennas

Vella, Jean Marie; Zammit, Saviour

doi:10.1109/melcon.2010.5475954

Cited by 6 publications

(1 citation statement)

References 12 publications

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“…Hence, in rich-scattering dense urban fixed deployments, a carefully planned relay location ensures a full-rank source-relay channel; while the relay-destination link may endure the pinhole effect for user equipments (UEs) experiencing poor scattering situations. Conversely, in suburban and rural areas with green-field deployment, the donor eNodeB and the relay are separated by a large distance in a line of sight (LOS) environment such that the source-relay channel has only one degree of freedom [1], [2]. On the other hand, the fact that the relay is close to the target destination-e.g., a village presenting rich scattering and short ranges to the end UEs-leads to a full-rank Rayleigh relaydestination link.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Project-and-Forward Relaying in Mixed MIMO-Pinhole and Rayleigh Dual-Hop Channel

Chergui¹,

Benjillali

Saoudi³

2016

IEEE Commun. Lett.

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Abstract-In this letter, we present an end-to-end performance analysis of dual-hop project-and-forward relaying in a realistic scenario, where the source-relay and the relay-destination links are experiencing MIMO-pinhole and Rayleigh channel conditions, respectively. We derive the probability density function of both the relay post-processing and the end-to-end signal-to-noise ratios, and the obtained expressions are used to derive the outage probability of the analyzed system as well as its end-to-end ergodic capacity in terms of generalized functions. Applying then the residue theory to Mellin-Barnes integrals, we infer the system asymptotic behavior for different channel parameters. As the bivariate Meijer-G function is involved in the analysis, we propose a new and fast MATLAB implementation enabling an automated definition of the complex integration contour. Extensive Monte-Carlo simulations are invoked to corroborate the analytical results.

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Section: Introductionmentioning

confidence: 99%