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 Transmit power allocation for precoded distributed MIMO OFDM systems
Please use this identifier to cite or link to this item http://hdl.handle.net/10773/5364

title: Transmit power allocation for precoded distributed MIMO OFDM systems
authors: Holakouei, R.
Silva, A.
Gameiro, A.
keywords: Distributed antenna systems (DAS)
Distributed broadband wireless system (DBWS)
Power allocation
Broad band wireless systems
Closed form solutions
Distributed antenna system
Distributed MIMO-OFDM systems
Intercell interference
Linear pre-coding
Power allocation algorithms
Power allocations
Transmit power allocation
User terminals
Antenna arrays
Base stations
Bit error rate
Channel capacity
Electronic warfare
Mobile antennas
Mobile telecommunication systems
Optical fibers
Orthogonal frequency division multiplexing
Orthogonal functions
Signal to noise ratio
MIMO systems
issue date: 2010
publisher: IEEE
abstract: This paper deals with a new multi-user linear precoding technique for downlink of distributed MIMO OFDM systems. We consider a distributed broadband wireless system where some base stations are transparently linked by optical fiber to a central unit. We further assume that the user terminals are equipped with an antenna array and the distributed base stations equipped with either single or an antenna array. This architecture provides a high speed backhaul channel allowing an efficient joint multi-cell processing. The proposed power allocation algorithm is based on minimization of the sum of inverse signal-to-noise ratio (SNR-1) on each user terminal over the available subcarriers. The motivation to minimize the sum of SNR-1 instead of bit error rate (BER) is in the fact that the first criterion achieves a closed-form solution, which is more interesting from practical point of view. The aim is to propose a practical distributed precoding technique to remove the inter-cell interference and improve the user's fairness at the cell-edges. The performance of the proposed scheme is evaluated, considering typical pedestrian scenarios based on LTE specifications.
URI: http://hdl.handle.net/10773/5364
ISBN: 978-1-4244-6695-5
source: AINA 2010: IEEE 24th International Conference on Advanced Information Networking and Applications
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