Max-Min Power Control in Downlink Massive MIMO with Distributed Antenna Arrays
| Autor: | Akbar, Noman, Bjornson, Emil, Yang, Nan, Larsson, Erik G. |
|---|---|
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | IEEE Transactions on Communications, 2020 |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1109/TCOMM.2020.3033018 |
| Popis: | In this paper, we investigate optimal downlink power allocation in massive multiple-input multiple-output (MIMO) networks with distributed antenna arrays (DAAs) under correlated and uncorrelated channel fading. In DAA massive MIMO, the base station (BS) consists of multiple antenna sub-arrays. Notably, the antenna sub-arrays are deployed in arbitrary locations within a DAA massive MIMO cell. Consequently, the distance-dependent large-scale propagation coefficients are different from a user to these different antenna sub-arrays, which makes power control a challenging problem. We assume that the network operates in time-division duplex mode, where each BS obtains the channel estimates via uplink pilots. Based on the channel estimates, the BSs perform maximum-ratio transmission in the downlink. We then derive a closed-form signal-to-interference-plus-noise ratio (SINR) expression, where the channels are subject to correlated fading. Based on the SINR expression, we propose a networkwide max-min power control algorithm to ensure that each user in the network receives a uniform quality of service. Numerical results demonstrate the performance advantages offered by DAA massive MIMO. For some specific scenarios, DAA massive MIMO can improve the average per-user throughput up to 55%. Furthermore, we demonstrate that channel fading covariance is an important factor in determining the performance of DAA massive MIMO. Comment: Accepted to appear in IEEE Transactions on Communications |
| Databáze: | arXiv |
| Externí odkaz: |
|