Minimizing Power Consumption under SINR Constraints for Cell-Free Massive MIMO in O-RAN
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866913492836024320 |
|---|---|
| author | Kasuluru, Vaishnavi Blanco, Luis Vazquez, Miguel Angel Vaca-Rubio, Cristian J. Zeydan, Engin |
| author_facet | Kasuluru, Vaishnavi Blanco, Luis Vazquez, Miguel Angel Vaca-Rubio, Cristian J. Zeydan, Engin |
| contents | This paper deals with the problem of energy consumption minimization in Open RAN cell-free (CF) massive Multiple-Input Multiple-Output (mMIMO) systems under minimum per-user signal-to-noise-plus-interference ratio (SINR) constraints. Considering that several access points (APs) are deployed with multiple antennas, and they jointly serve multiple users on the same time-frequency resources, we design the precoding vectors that minimize the system power consumption, while preserving a minimum SINR for each user. We use a simple, yet representative, power consumption model, which consists of a fixed term that models the power consumption due to activation of the AP and a variable one that depends on the transmitted power. The mentioned problem boils down to a binary-constrained quadratic optimization problem, which is strongly non-convex. In order to solve this problem, we resort to a novel approach, which is based on the penalized convex-concave procedure. The proposed approach can be implemented in an O-RAN cell-free mMIMO system as an xApp in the near-real time RIC (RAN intelligent Controller). Numerical results show the potential of this approach for dealing with joint precoding optimization and AP selection. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_04135 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Minimizing Power Consumption under SINR Constraints for Cell-Free Massive MIMO in O-RAN Kasuluru, Vaishnavi Blanco, Luis Vazquez, Miguel Angel Vaca-Rubio, Cristian J. Zeydan, Engin Networking and Internet Architecture This paper deals with the problem of energy consumption minimization in Open RAN cell-free (CF) massive Multiple-Input Multiple-Output (mMIMO) systems under minimum per-user signal-to-noise-plus-interference ratio (SINR) constraints. Considering that several access points (APs) are deployed with multiple antennas, and they jointly serve multiple users on the same time-frequency resources, we design the precoding vectors that minimize the system power consumption, while preserving a minimum SINR for each user. We use a simple, yet representative, power consumption model, which consists of a fixed term that models the power consumption due to activation of the AP and a variable one that depends on the transmitted power. The mentioned problem boils down to a binary-constrained quadratic optimization problem, which is strongly non-convex. In order to solve this problem, we resort to a novel approach, which is based on the penalized convex-concave procedure. The proposed approach can be implemented in an O-RAN cell-free mMIMO system as an xApp in the near-real time RIC (RAN intelligent Controller). Numerical results show the potential of this approach for dealing with joint precoding optimization and AP selection. |
| title | Minimizing Power Consumption under SINR Constraints for Cell-Free Massive MIMO in O-RAN |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2409.04135 |