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

Distributed multicell-MISO precoding using the layered virtual SINR framework

Zakhour, Randa; Gesbert, David

IEEE Transactions on Wireless Communications, Vol 9, N°8, August 2010

In this letter, we address the problem of distributed multi-antenna cooperative transmission in a cellular system. Most research in this area has so far assumed that base stations not only have the data dedicated to all the users but also share the full channel state information (CSI). In what follows, we assume that each base station (BS) only has local CSI knowledge. We propose a suboptimal, yet efficient, way in which the multicell MISO precoders may be designed at each BS in a distributed manner, as a superposition of so-called {em virtual SINR} maximizations: a virtual SINR maximizing transmission scheme yields Pareto optimal rates for the MISO Interference Channel (IC); its extension to the multicell MISO channel is shown to provide a distributed precoding scheme achieving a certain fairness optimality for the two link case. We illustrate the performance of our algorithm through Monte Carlo simulations.

Document Doi Bibtex

Titre:Distributed multicell-MISO precoding using the layered virtual SINR framework
Mots Clés:Multicell cooperation , distributed channel knowledge , distributed precoding design , linear precoding
Département:Systèmes de Communication
Eurecom ref:3195
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Bibtex: @article{EURECOM+3195, doi = { }, year = {2010}, month = {08}, title = {{D}istributed multicell-{MISO} precoding using the layered virtual {SINR} framework}, author = {{Z}akhour, {R}anda and {G}esbert, {D}avid }, journal = {{IEEE} {T}ransactions on {W}ireless {C}ommunications, {V}ol 9, {N}°8, {A}ugust 2010}, url = {} }
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