Feedback Reduction for Beyond 5G Cellular Systems

被引:0
作者
Kim, Seungnyun [1 ]
Choi, Jun Won [2 ]
Shim, Byonghyo [1 ]
机构
[1] Seoul Natl Univ, Dept Elect & Comp Engn, INMC, Seoul, South Korea
[2] Hanyang Univ, Dept Elect & Biomed Engn, Seoul, South Korea
来源
ICC 2019 - 2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) | 2019年
关键词
MASSIVE MIMO;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Cell-less system is a promising technology of the next generation wireless communications where a group of basestations intelligently recognizes user's communication environments and cooperatively serves the user. In order to maximize the gain obtained by the basestation cooperation, acquisition of accurate downlink channel state information (CSI) at the basestation is crucial. While this task is relatively easy for the time division duplexing (TDD) systems due to the channel reciprocity, it is not easy for the frequency division duplexing (FDD) systems due to the CSI feedback overhead. This issue is even more pronounced in the cell-less systems since the user needs to estimate and feed back the downlink CSIs of multiple basestations. In this paper, we propose a multi-path selection based feedback reduction technique for the FDD-based cell-less systems. Key ingredient of the proposed technique is that the spatial domain channel can be represented by a small number of multi-path components (angle of departure (AoD) and path gain). By exploiting the property that the AoDs are quite similar in the uplink and downlink channels, we only feed back the path gain information (PGI) to the basestations. Furthermore, by choosing a few paths maximizing the sum-rate and only feed back the PGI of the chosen paths, we can further reduce the feedback overhead substantially. From the simulations on realistic scenarios, we demonstrate that the proposed selective PGI feedback scheme is very effective in achieving the feedback overhead reduction compare to the conventional scheme relying on the CSI feedback.
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页数:6
相关论文
共 14 条
[11]   Antenna Grouping Based Feedback Compression for FDD-Based Massive MIMO Systems [J].
Lee, Byungju ;
Choi, Junil ;
Seol, Ji-Yun ;
Love, David J. ;
Shim, Byonghyo .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2015, 63 (09) :3261-3274
[12]  
Sadek M., 2007, IEEE T WIRELESS COMM, V6
[13]   Joint Channel Training and Feedback for FDD Massive MIMO Systems [J].
Shen, Wenqian ;
Dai, Linglong ;
Shi, Yi ;
Shim, Byonghyo ;
Wang, Zhaocheng .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2016, 65 (10) :8762-+
[14]   An Overview of Low-Rank Channel Estimation for Massive MIMO Systems [J].
Xie, Hongxiang ;
Gao, Feifei ;
Jin, Shi .
IEEE ACCESS, 2016, 4 :7313-7321