Ergodic Capacity Achieving Policies for Cell-free MIMO with Asymmetric Access Points

We consider a wireless communication model where data intended to a user equipment is cooperatively transmitted by multiple distributed access points (APs). The APs are equipped with mul-tiple antennas, however they differ in the number of antennas, channel conditions and average power availability. Evaluating the ergodic capacity of such a set up is the main problem addressed in this paper. This leads to a power control problem where the global objective of ergodic capacity is to be maximized under localized constraints on the APs. Assuming channel state information (CSI) availability at the terminals, the optimal power control law for the multiple input single output (MISO) model is presented here, along with further discussions on the possible relaxations of the full CSI assumption.

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Published
2025-03-06
DOI
https://doi.org/10.1109/ncc63735.2025.10983093
Primary Topic
Advanced MIMO Systems Optimization
Type
article
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article

Ergodic Capacity Achieving Policies for Cell-free MIMO with Asymmetric Access Points

Sibi Raj B. Pillai, Kumar Appaiah, Anil Kumar
Advanced MIMO Systems Optimization
article

Ergodic Capacity Achieving Policies for Cell-free MIMO with Asymmetric Access Points

Sibi Raj B. Pillai, Kumar Appaiah, Anil Kumar
article en

Abstract

We consider a wireless communication model where data intended to a user equipment is cooperatively transmitted by multiple distributed access points (APs). The APs are equipped with mul-tiple antennas, however they differ in the number of antennas, channel conditions and average power availability. Evaluating the ergodic capacity of such a set up is the main problem addressed in this paper. This leads to a power control problem where the global objective of ergodic capacity is to be maximized under localized constraints on the APs. Assuming channel state information (CSI) availability at the terminals, the optimal power control law for the multiple input single output (MISO) model is presented here, along with further discussions on the possible relaxations of the full CSI assumption.

Indian Institute of Technology Bombay (IN)
Openalex Percentile: Top 92%
Advanced MIMO Systems Optimization
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Ergodic Capacity Achieving Policies for Cell-free MIMO with Asymmetric Access Points — Sibi Raj B. Pillai, Kumar Appaiah, et al. · (2025) | TGRS Research Map | TGRS