Study of Adaptive Activity-Aware Iterative Detection Techniques for Massive Machine-Type Communications

07/30/2019
by   R. B. di Renna, et al.
0

This work studies the uplink of grant-free low data-rate massive machine-to-machine communications (mMTC) where devices are only active sporadically, which requires a joint activity and data detection at the receiver. We develop an adaptive decision feedback detector along with an l_0-norm regularized activity-aware recursive least-squares algorithm that only require pilot symbols. An iterative detection and decoding scheme based on low-density parity-check (LDPC) is also devised for signal detection in mMTC. Simulations show the performance of the proposed approaches against existing schemes.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset