Name
Title | ||
|---|---|---|
A Low Overhead Feedback Scheme of Channel Covariance Matrix for Massive MIMO Systems. |
Abstract | ||
|---|---|---|
In this paper, we propose a feedback scheme of a channel covariance matrix with low overhead for massive multiple-input multiple-output systems. The proposed scheme decomposes the channel covariance matrix into the phase and amplitude parts. For the phase part, the element-wise uniform scalar quantization is performed. For the amplitude part, the following feedback information is generated: a bitmap which denotes a sign of difference between adjacent elements, the first value, an increment, and a decrement. To calculate the elements of the amplitude part, starting from the first value, when a bitmap is 1, the increment is added, otherwise the decrement is added. Simulation results show that the feedback overhead of the proposed scheme can be significantly reduced from 1.92% to 48.33% while the performance of mean square error can be maintained with that of the conventional scheme. |
Year | Venue | Field |
|---|---|---|
2018 | ICUFN | Scalar quantization,Mimo systems,Computer science,Matrix decomposition,Algorithm,Communication channel,Mean squared error,Bitmap,Covariance matrix,Amplitude,Distributed computing |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Young Rok Jang | 1 | 31 | 4.26 |
| Dongheon Lee | 2 | 50 | 3.99 |
| Sooyong Choi | 3 | 540 | 50.76 |