Optimized Power Control for Massive MIMO with Underlaid D2D Communications

TL;DR

This paper introduces a novel power control and pilot allocation framework for massive MIMO systems with underlaid D2D communication, enhancing spectral efficiency through joint optimization of pilot and data transmission.

Contribution

It proposes a new joint pilot and data power control scheme for massive MIMO with D2D, deriving capacity bounds and demonstrating improved spectral efficiency.

Findings

Proposed schemes outperform maximum power baseline.

Joint pilot and data optimization yields higher spectral efficiency.

Numerical results confirm increased sum SE in multi-cell networks.

Abstract

In this paper, we consider device-to-device (D2D) communication that is underlaid in a multi-cell massive multiple-input multiple-output (MIMO) system and propose a new framework for power control and pilot allocation. In this scheme, the cellular users (CUs) in each cell get orthogonal pilots which are reused with reuse factor one across cells, while all the D2D pairs share another set of orthogonal pilots. We derive a closed-form capacity lower bound for the CUs with different receive processing schemes. In addition, we derive a capacity lower bound for the D2D receivers and a closed-form approximation of it. We provide power control algorithms to maximize the minimum spectral efficiency (SE) and maximize the product of the signal-to-interference-plus-noise ratios in the network. Different from prior works, in our proposed power control schemes, we consider joint pilot and data transmission optimization. Finally, we provide a numerical evaluation where we compare our proposed power control schemes with the maximum transmit power case and the case of conventional multi-cell massive MIMO without D2D communication. Based on the provided results, we conclude that our proposed scheme increases the sum SE of multi-cell massive MIMO networks.