Name
Abstract | ||
|---|---|---|
Focusing on time correlation of real communication channels, a channel quantization algorithm based on finite state vector quantization (FSVQ) is proposed. Firstly channels are partitioned into finite states, then codebooks corresponding to each state are constructed, which are used to quantize channels transferred from corresponding states. Further, the state transition function is designed to ensure the synchronization between transmitter and receiver. The proposed algorithm can achieve improved performance with the same feedback load compared with classical memoryless channel quantizer without consideration of the influence of time correlation. Simulation results verify the effectiveness of the proposed algorithm. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1093/ietfec/e91-a.10.3063 | IEICE Transactions |
Keywords | Field | DocType |
corresponding state,firstly channel,state transition function,channel quantization algorithm,finite state vector quantization,time correlated channels,time correlation,classical memoryless channel quantizer,finite state,proposed algorithm,real communication channel,communication channels,state transition | Transmitter,Synchronization,Spatial correlation,Linde–Buzo–Gray algorithm,Algorithm,Communication channel,Vector quantization,Quantization (signal processing),Precoding,Mathematics | Journal |
Volume | Issue | ISSN |
E91-A | 10 | 0916-8508 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhenjie Feng | 1 | 14 | 4.56 |
| Taiyi Zhang | 2 | 176 | 17.60 |
| Erlin Zeng | 3 | 18 | 5.21 |