论文标题
部分可观测时空混沌系统的无模型预测
Power Allocation for a HAPS-Enabled MIMO-NOMA System with Spatially Correlated Channels
论文作者
论文摘要
高空平台站（HAP）系统被认为在第六代（6G）和无线网络的多层体系结构中具有巨大的希望。 HAPS系统可以用作超级宏基础站（SMB）直接与用户通信，因为HAPS和陆地用户之间存在明显的视线（LOS）链接。但是，HAPS SMBS Systems面临的问题之一是相邻用户的频道增益之间的高空间相关性，这是由于HAPS和陆地用户之间的LOS链接所致。在本文中，除了利用多个用户之间的通道增益的空间相关性来改善用户服务，我们还考虑了每个用户的相关频道增益。在拟议的方法中，其LOS通道增益之间具有高空间相关性的地面用户分为NOMA簇。接下来，提出了一种算法来分配陆地用户的权力，以最大化总率，同时满足服务质量（QoS）和连续的干扰取消（SIC）条件。模拟结果表明，与陆生BS相比，HAPS SMB具有较高的数据速率和能效。
High-altitude platform station (HAPS) systems are considered to have great promise in the multi-tier architecture of the sixth generation (6G) and beyond wireless networks. A HAPS system can be used as a super macro base station (SMBS) to communicate with users directly since there is a significant line-of-sight (LoS) link between a HAPS and terrestrial users. One of the problems that HAPS SMBS systems face, however, is the high spatial correlation between the channel gain of adjacent users, which is due to the LoS link between the HAPS and terrestrial users. In this paper, in addition to utilizing the spatial correlation of channel gain between multiple users to improve user services, we consider correlated channel gain for each user. In the proposed method, terrestrial users with a high spatial correlation between their LoS channel gain are grouped into NOMA clusters. Next, an algorithm is proposed to allocate power among terrestrial users to maximize the total rate while satisfying the quality-of-service (QoS) and successive interference cancellation (SIC) conditions. Simulation results show that a HAPS SMBS has superior data rate and energy efficiency in comparison to a terrestrial BS.
