论文标题
数据尺寸感知的下行链路大型MIMO：基于会话的方法
Data Size-Aware Downlink Massive MIMO: A Session-Based Approach
论文作者
论文摘要
这封信考虑了大规模多输入网络下行链路的传输策略的发展，目的是最大程度地减少传输的完成时间。具体来说，我们介绍了一个基于会话的方案，该方案将时间分成会话并为不同用户分配不同会话的不同费率。在每个会话中，选择一个用户以完成其传输，并且不会加入随后的会话，从而导致从一个会话转到下一个会话时，干扰级别较低。开发了一种算法来分配用户并分配传输功率，以最大程度地减少完成时间。数值结果表明，我们提出的基于会话的方案显着胜过常规的基于非课程的方案。
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.
