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http://hdl.handle.net/10773/5364
Title: | Transmit power allocation for precoded distributed MIMO OFDM systems |
Author: | Holakouei, R. Silva, A. Gameiro, A. |
Keywords: | Distributed antenna systems (DAS) Distributed broadband wireless system (DBWS) MIMO Power allocation Precoding Broad band wireless systems Closed form solutions Distributed antenna system Distributed MIMO-OFDM systems Intercell interference Linear pre-coding Multi-user Multicell Power allocation algorithms Power allocations Precoding Sub-carriers 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. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/5364 |
ISBN: | 978-1-4244-6695-5 |
Appears in Collections: | DETI - Comunicações |
Files in This Item:
File | Description | Size | Format | |
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reza_AINA_2010.pdf | 505.8 kB | Adobe PDF | ![]() |
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