Yonghong Zeng, Sumei Sun, Yuhong Wang, and Yugang Ma. "Fast Channel Estimation for Massive Machine Type Communication & IEEE VTC-Fall, 2022.
For massive machine type communications
(mMTC), it is critical to squeeze the transmission overhead
as packet length is usually short and power is limited.
Reducing preamble/pilot length for channel estimation is
thus very important. In this paper, we propose to use short
preamble for channel estimation in generalized frequency
division multiplexing (GFDM) communication. Based on
the short preamble, we can estimate a short channel first.
We then show that the conventional zero-padding method
for extending short channel to long channel in GFDM is
not accurate. A new efficient method to construct the long
effective channel from the obtained short channel is
proposed. The proposed new method can construct a long
channel for GFDM equalization without knowing the time
sync error. It is proved theoretically that the constructed
channel is correct given that the length of cyclic prefix (CP)
and cyclic suffix (CS) are longer than the original channel
length plus the time sync error. Simulations at various
situations are shown to verify the results.
This research / project is supported by the A*STAR - RIE2020 AME industry alignment fund-pre-positioning (IAF-PP)
Grant Reference no. : A20F8a0044