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

Cooperative channel estimation for coordinated transmission with limited backhaul

Li, Qianrui; Gesbert, David; Gresset, Nicolas

IEEE Transactions on Wireless Communications, Vol.16, N°6, June 2017

Obtaining accurate global channel state information (CSI) at multiple transmitter devices is critical to the performance of many coordinated transmission schemes. Practical CSI local feedback often leads to noisy and partial CSI estimates at each transmitter. With rate-limited bi-directional backhaul, transmitters have the opportunity to exchange few CSI-related bits to establish global channel state information at transmitter (CSIT). This work investigates possible strategies towards this goal. We propose a novel decentralized algorithm that produces minimum mean square error (MMSE)-optimal global channel estimates at each device from combining local feedback and information exchanged through backhauls. The method adapts to arbitrary initial information topologies and feedback noise statistics and can do that with a combination of closed-form and convex approaches. Simulations for coordinated multi-point (CoMP) transmission systems with two or three transmitters exhibit the advantage of the proposed algorithm over conventional CSI exchange mechanisms when the coordination backhauls are limited. 

Document Doi Bibtex

Titre:Cooperative channel estimation for coordinated transmission with limited backhaul
Mots Clés:Decentralized estimation, Finite-capacity backhaul, Limited feedback, Coordination, Cooperative communication
Type:Journal
Langue:English
Ville:
Date:
Département:Systèmes de Communication
Eurecom ref:5178
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Bibtex: @article{EURECOM+5178, doi = {http://dx.doi.org/10.1109/TWC.2017.2686847}, year = {2017}, month = {03}, title = {{C}ooperative channel estimation for coordinated transmission with limited backhaul}, author = {{L}i, {Q}ianrui and {G}esbert, {D}avid and {G}resset, {N}icolas}, journal = {{IEEE} {T}ransactions on {W}ireless {C}ommunications, {V}ol.16, {N}°6, {J}une 2017}, url = {http://www.eurecom.fr/publication/5178} }
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