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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jingyu Li Xin Su Jie Zeng Yufei Zhao Shichao Yu Limin Xiao Xibin Xu |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China (Shichao Yu) || Tsinghua Nat. Lab. for Inf. Sci. & Technol., Tsinghua Univ., Beijing, China (Jingyu Li; Xin Su; Jie Zeng; Yufei Zhao; Limin Xiao; Xibin Xu) |
| Abstract | Massive Multiple-Input Multiple-Output (MIMO) is an emerging research field due to the increasing demand of spectral efficiency in wireless broadband systems, such as Long Term Evolution (LTE) which is proposed by 3GPP (Third Generation Partnership Project). Precoding is important to exploit the performance of massive MIMO, and codebook design is crucial due to the limited feedback channel. In this paper, we propose a novel double codebook design method based on a Kronecker-type approximation of the array correlation structure for the uniform rectangular array, which is preferable for the antenna deployment of massive MIMO systems. As a case study, we run simulations based on assumptions of the LTE-Advanced system which is extended to 32 dual-polarized antennas. The results verify that the proposed codebook design has remarkable performance gain compared to the traditional double codebook under the uniform rectangular array setup. |
| Sponsorship | IEEE Vehicular Technol. Soc. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 274765 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467363372 |
| ISSN | 15502252 |
| DOI | 10.1109/VTCSpring.2013.6692478 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-02 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Correlation MIMO Antenna arrays Discrete Fourier transforms Long Term Evolution Vectors |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Electrical and Electronic Engineering Computer Science Applications |
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