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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Khojastepour, M.A. Prasad, N. Wang, S. Wang, X. Madihian, M. |
| Copyright Year | 2008 |
| Description | Author affiliation: NEC Labs. America, Princeton, NJ (Khojastepour, M.A.; Prasad, N.; Wang, S.; Wang, X.; Madihian, M.) |
| Abstract | We consider the sum-rate maximization via linear precoding in downlink MIMO systems with quantized feedback. We address the precoding codebook design based on the capacity measure by introducing a new distance metric. We propose a codebook structure and its associated design algorithm that allows for significant reduction in the memory requirement and computational complexity. We then provide a system design approach comprising of a multi-rank beamforming (MRBF) scheme, an efficient CQI-based precoder selection algorithm, reduced feedback strategies and novel channel quality indicator (CQI) combining. Our simulation results show that the proposed MRBF scheme can approach the precoding upper bounds with relatively small feedback bits. Moreover, with the same number of bits, the proposed scheme simultaneously achieves higher throughput and lower computational complexity in comparison to the other existing precoding schemes. |
| Starting Page | 877 |
| Ending Page | 883 |
| File Size | 580140 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424422463 |
| DOI | 10.1109/CISS.2008.4558643 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-03-19 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Upper bound Array signal processing Computational modeling Feedback Diversity reception Downlink Throughput MIMO Computational complexity |
| Content Type | Text |
| Resource Type | Article |
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