Distributed Downlink Beamforming With Cooperative Base Stations

In this paper, we consider multicell processing on the downlink of a cellular network to accomplish ldquomacrodiversityrdquo transmit beamforming. The particular downlink beamformer structure we consider allows a recasting of the downlink beamforming problem as a virtual linear mean square error (LM...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE transactions on information theory Ročník 54; číslo 12; s. 5491 - 5499
Hlavní autori:	Boon Loong Ng, Evans, J.S., Hanly, S.V., Aktas, D.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY IEEE 01.12.2008 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Applied sciences Array signal processing Base stations Beamforming Cellular Cellular communication Convergence Cooperative base stations Detection, estimation, filtering, equalization, prediction distributed algorithm Downlink downlink beamforming Equipments and installations Estimating techniques Estimation error Exact sciences and technology Graphs Information theory Information, signal and communications theory Kalman filters Kalman smoothing Land mobile radio cellular systems linear mean square error (LMMSE) localized interference Mean square error methods Mean square errors Message passing Mobile radiocommunication systems multicell processing multiple-input-multiple-output (MIMO) Networks Radiocommunications Signal and communications theory Signal, noise Smoothing methods Stations Sum product algorithm Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Mobile radiocommunication MIMO system sum-product algorithm Base station Wireless telecommunication Downlink Cell network multicell processing localized interference downlink beamforming Beam forming Mean square error linear mean square error (LMMSE) Cooperative base stations Kalman smoothing Message passing Distributed algorithm Telecommunication network Delay time Localization multiple-input-multiple-output (MIMO)
ISSN:	0018-9448, 1557-9654
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Popis
Shrnutí:	In this paper, we consider multicell processing on the downlink of a cellular network to accomplish ldquomacrodiversityrdquo transmit beamforming. The particular downlink beamformer structure we consider allows a recasting of the downlink beamforming problem as a virtual linear mean square error (LMMSE) estimation problem. We exploit the structure of the channel and develop distributed beamforming algorithms using local message passing between neighboring base stations. For 1-D networks, we use the Kalman smoothing framework to obtain a forward-backward beamforming algorithm. We also propose a limited extent version of this algorithm that shows that the delay need not grow with the size of the network in practice. For 2-D cellular networks, we remodel the network as a factor graph and present a distributed beamforming algorithm based on the sum-product algorithm. Despite the presence of loops in the factor graph, the algorithm produces optimal results if convergence occurs.
Bibliografia:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23
ISSN:	0018-9448 1557-9654
DOI:	10.1109/TIT.2008.2006426