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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kibria, M.G. Murata, H. Yoshida, S. |
| Copyright Year | 2013 |
| Description | Author affiliation: Grad. Sch. of Inf., Kyoto Univ., Kyoto, Japan (Kibria, M.G.; Murata, H.; Yoshida, S.) |
| Abstract | In this paper, we analyze the performance of a downlink beamforming system with partitioned vector quantization (P-VQ). A multiuser multiple-input single-output (MU-MISO) downlink beamforming system with accurate channel state information (CSI) at user terminals is considered. The optimization of feedback bits allocation to different partitions and channel direction indicator (CDI), channel quality indicator (CQI) corresponding to each partition has been performed exploiting quantization mean square error (MSE). The impacts of equal and unequal partitioning, and the number of partitions on codebook memory and overall system capacity have also been investigated and depicted through simulation results. We have found that with optimized CQI and CDI bits allocations, the amount of bits allotted to equal and unequal partitions are proportional to the size ratios of the respective partitioned sub-vectors. It has also been observed that for small-sized partitions, the optimal ratio of CDI to CQI is much smaller than that of large-sized partitions. |
| Starting Page | 841 |
| Ending Page | 845 |
| File Size | 124515 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467362351 |
| ISSN | 21669570 |
| DOI | 10.1109/PIMRC.2013.6666253 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-09-08 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Quantization (signal) Resource management Vectors Downlink Optimization Bit rate Array signal processing Nonlinear precoding etc Partitioned vector quantization Feedback budget optimization Multiuser-MISO |
| Content Type | Text |
| Resource Type | Article |
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