  For efficient use of Massive MIMO systems, fast and accurate channel
estimation is very important. But the Large-scale antenna array presence
requires high pilot overhead for high accuracy of estimation. Also, when used
with software-based processing systems like CPUs and GPUs, high processing
latency becomes a major issue. To reduce Pilot overhead, a Pilot transmission
scheme in combination with PN Sequence correlation based channel estimation
scheme is implemented. Then, to deal with the issue of high processing latency,
Tensor Cores in Nvidia GPUs are used for computing the channel estimation.
Experiments are performed by using Nvidia V100 GPU in the ORBIT Testbed to show
the performance of the Pilot transmission scheme. By varying factors like PN
sequence length, Channel Impulse Response length, number of multiplexed
transmitters, and scale of MIMO, the accuracy and processing latency of Tensor
Core implementation of the Channel Estimation is evaluated.
