Ecole d'ingénieur et centre de recherche en Sciences du numérique

Robust pilot decontamination based on joint angle and power domain discrimination

Yin, Haifan; Cottatellucci, Laura; Gesbert, David, Müller, Ralf, R; He, Gaoning

IEEE Transactions on Signal Processing, 2016, Vol.64, N°11, ISSN: 1053-587X

We address the problem of noise and interference corrupted channel estimation in massive MIMO systems. Interference, which originates from pilot reuse (or contamination), can in principle be discriminated on the basis of the distributions of path angles and amplitudes. In this paper we propose novel robust channel estimation algorithms exploiting path diversity in both angle and power domains, relying on a suitable combination of the spatial filtering and amplitude based projection. The proposed approaches are able to cope with a wide range of system and topology scenarios, including those where, unlike in previous works, interference channel may overlap with desired channels in terms of multipath angles of arrival or exceed them in terms of received power. In particular we establish analytically the conditions under which the proposed channel estimator is fully decontaminated. Simulation results confirm the overall system gains when using the new methods.

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Titre:Robust pilot decontamination based on joint angle and power domain discrimination
Département:Systèmes de Communication
Eurecom ref:4692
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Bibtex: @article{EURECOM+4692, doi = {}, year = {2016}, month = {02}, title = {{R}obust pilot decontamination based on joint angle and power domain discrimination}, author = {{Y}in, {H}aifan and {C}ottatellucci, {L}aura and {G}esbert, {D}avid, {M}{\"u}ller, {R}alf, {R} and {H}e, {G}aoning}, journal = {{IEEE} {T}ransactions on {S}ignal {P}rocessing, 2016, {V}ol.64, {N}°11, {ISSN}: 1053-587{X}}, url = {} }
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