Name
Abstract | ||
|---|---|---|
We design equal gain precoders with scalar quantization in MIMO systems with limited feedback, which do not require the predefined codebook. In such precoders, bit allocation can be used to quantize the precoding vector/matrix to further improve the system performance. There are two conventional bit allocation schemes. One is the uniform bit allocation and the other is the optimal bit allocation obtained by using exhaustive search. The uniform bit allocation is simple but turns out to have obvious performance degradation. On the other hand, the exhaustive search method leads to the optimal performance. However, its computational complexity is extremely high and may be somewhat impractical to be realized. In this paper, we propose two bit allocation schemes for the MIMO equal gain precoder with scalar quantization. Both of the proposed methods are with low complexity and their performance is close to the optimal scheme. Consequently, the proposed bit allocations provide good trade-off between performance and complexity. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TWC.2011.030311.100106 | IEEE Transactions on Wireless Communications |
Keywords | Field | DocType |
predefined codebook,scalar quantization,precoding,uniform bit allocation,precoding vector,communication complexity,exhaustive search,quantisation (signal),system performance,mimo system,optimal bit allocation,limited feedback,search problems,equal gain precoder,computational complexity,mimo communication,mimo equal gain precoding,mimo,bit allocation,scalar quantized (sq),precoding matrix,antennas,signal to noise ratio,quantization,transmitters | Search algorithm,Brute-force search,Control theory,Algorithm,MIMO,Real-time computing,Communication complexity,Quantization (signal processing),Mathematics,Precoding,Computational complexity theory,Codebook | Journal |
Volume | Issue | ISSN |
10 | 5 | 1536-1276 |
ISBN | Citations | PageRank |
978-1-4244-2519-8 | 2 | 0.40 |
References | Authors | |
12 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chi-Liang Chao | 1 | 2 | 0.74 |
| Shang-ho Tsai | 2 | 188 | 24.44 |
| Terng-Yin Hsu | 3 | 46 | 13.82 |