| Paper ID | SAM-4.2 |
| Paper Title |
ADMM-BASED FAST ALGORITHM FOR ROBUST MULTI-GROUP MULTICAST BEAMFORMING |
| Authors |
Niloofar Mohamadi, Min Dong, Shahram ShahbazPanahi, Ontario Tech University, Canada |
| Session | SAM-4: MIMO and Massive MIMO Array Processing |
| Location | Gather.Town |
| Session Time: | Wednesday, 09 June, 16:30 - 17:15 |
| Presentation Time: | Wednesday, 09 June, 16:30 - 17:15 |
| Presentation |
Poster
|
| Topic |
Sensor Array and Multichannel Signal Processing: [SAM-CAMS] Computational advances for multi-sensor systems |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |
| Abstract |
We consider robust multi-group multicast beamforming design in massive MIMO large-scale systems. The goal is to minimize the transmit power subject to the minimum signal-to-interference-plus-noise-ratio (SINR) under channel uncertainty. Using the exact worst-case SINR constraint, we transform the problem into a non-convex optimization problem. We develop an alternating direction method of multipliers (ADMM)-based fast algorithm to solve this problem directly with convergence guarantee. Our two-layer ADMM-based algorithm decomposes the non-convex problem into a sequence of convex subproblems, for which we obtain the semi-closed-form or closed-form solutions. Simulation studies show that our algorithm provides a considerable computational advantage over the conventional interior-point method non-convex solver with nearly identical performance. |
