Low-Cost Approximate LMMSE Equalizer Based on Krylov Subspace Methods for HSDPA
The throughput of the high speed downlink packet access (HSDPA) sub-system of UMTS suffers significantly from multiple access interference in the wireless channel. A linear minimum mean square error (LMMSE) equalizer at the receiver achieves higher throughput than a conventional RAKE receiver, at th...
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| Veröffentlicht in: | IEEE transactions on wireless communications 2007-05, Vol.6 (5), p.1610-1614 |
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| container_title | IEEE transactions on wireless communications |
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| creator | Dumard, C. Kaltenberger, F. Freudenthaler, K. |
| description | The throughput of the high speed downlink packet access (HSDPA) sub-system of UMTS suffers significantly from multiple access interference in the wireless channel. A linear minimum mean square error (LMMSE) equalizer at the receiver achieves higher throughput than a conventional RAKE receiver, at the cost of higher complexity. We introduce an iterative algorithm based on Krylov subspace projections, approximating the LMMSE equalizer with negligible loss of performance for the receiver. Slow variations of the channel can be exploited to allow further acceleration of the algorithm. Computational complexity as well as storage requirements are strongly reduced |
| doi_str_mv | 10.1109/TWC.2007.360359 |
| format | Article |
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A linear minimum mean square error (LMMSE) equalizer at the receiver achieves higher throughput than a conventional RAKE receiver, at the cost of higher complexity. We introduce an iterative algorithm based on Krylov subspace projections, approximating the LMMSE equalizer with negligible loss of performance for the receiver. Slow variations of the channel can be exploited to allow further acceleration of the algorithm. 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A linear minimum mean square error (LMMSE) equalizer at the receiver achieves higher throughput than a conventional RAKE receiver, at the cost of higher complexity. We introduce an iterative algorithm based on Krylov subspace projections, approximating the LMMSE equalizer with negligible loss of performance for the receiver. Slow variations of the channel can be exploited to allow further acceleration of the algorithm. 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| issn | 1536-1276 1558-2248 |
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| source | IEEE/IET Electronic Library (IEL) |
| subjects | 3G mobile communication Algorithms Applied sciences Approximation Channels Complexity Downlink Equalizers Equipments and installations Exact sciences and technology Fading Iterative algorithms Least mean squares algorithm Mean square error methods Mobile radiocommunication systems Multiaccess communication Multiple access interference Radiocommunications RAKE receivers Receivers Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Throughput Transmission and modulation (techniques and equipments) |
| title | Low-Cost Approximate LMMSE Equalizer Based on Krylov Subspace Methods for HSDPA |
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