Index Modulation–Aided Mixed Massive Random Access

In this study, a mixed massive random access scheme is considered where part of users transmit both common information and user-specific information, while others only information. scheme, transmitted by index modulation (IM)–aided unsourced (URA), IM-aided sourced (SRA). Practically, URA partitions channel blocks one transmission frame into multiple groups then employs the IM principle to activate in each group. SRA allocates pilot sequences user activates sequence whose carries data At receiver, covariance-based maximum likelihood detection (CB-MLD) employed recover active compressed sensing (CS) code words jointly. To stitch at different URA, modified tree decoder proposed take constraint account. Furthermore, relax strict threshold requirement improve performance, an iterative CS detector are decode successive signal reconstruction interference cancellation utilized. Finally, computer simulations given demonstrate performance scheme.