Data Size-Aware Downlink Massive MIMO: A Session-Based Approach

TL;DR

This paper proposes a session-based transmission scheme for downlink massive MIMO networks that reduces completion time by dynamically allocating rates and selecting users in successive sessions.

Contribution

It introduces a novel session-based approach with an algorithm for user assignment and power allocation to minimize transmission completion time.

Findings

Significantly reduces completion time compared to traditional schemes.

Effectively manages interference through session-based user selection.

Demonstrates improved performance in numerical simulations.

Abstract

This letter considers the development of transmission strategies for the downlink of massive multiple-input multiple-output networks, with the objective of minimizing the completion time of the transmission. Specifically, we introduce a session-based scheme that splits time into sessions and allocates different rates in different sessions for the different users. In each session, one user is selected to complete its transmission and will not join subsequent sessions, which results in successively lower levels of interference when moving from one session to the next. An algorithm is developed to assign users and allocate transmit power that minimizes the completion time. Numerical results show that our proposed session-based scheme significantly outperforms conventional non-session-based schemes.