In this paper, we propose a novel pilot beamforming and CSI acquisition strategy for machine-Type-communication systems to achieve reduction in pilot overhead and improve the channel estimation performance. Key idea of the proposed beam-forming technique is to sparsify the time-domain channel vector using the beamforming. To be specific, using the deliberately designed beamforming weight, we minimize nonzero taps and thus sparsify the (beamformed) channel vector. Due to this, only a few samples are required to perform the channel estimation of beamformed pilots so that whole CSI can be acquired with partial pilot symbols in time and frequency. From the numerical evaluations, we show that the proposed scheme outperforms conventional channel estimation schemes, and achieves NT-fold reduction in the pilot overhead. Also, the proposed scheme can be applied for beamforming weight of energy harvesting.
|Title of host publication||2017 IEEE/CIC International Conference on Communications in China, ICCC 2017|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||5|
|Publication status||Published - 2017 Jul 2|
|Event||2017 IEEE/CIC International Conference on Communications in China, ICCC 2017 - Qingdao, China|
Duration: 2017 Oct 22 → 2017 Oct 24
|Name||2017 IEEE/CIC International Conference on Communications in China, ICCC 2017|
|Other||2017 IEEE/CIC International Conference on Communications in China, ICCC 2017|
|Period||17/10/22 → 17/10/24|
Bibliographical noteFunding Information:
This work was sponsored by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIP) (2016R1A2B3015576) and (2014R1A5A1011478).
© 2017 IEEE.
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Signal Processing