In this paper we consider opportunistic routing in multiple-input–multiple-output (MIMO) random wireless ad-hoc networks (WANETs). Our analysis uses a proper model of the physical layer together with an abstraction of the higher communication layers. We assume that the nodes are distributed according to a Poisson point process and consider a routing scheme that opportunistically selects the next relay and the number of spatially multiplexed data streams. The routing decisions are based on geographic locations, the channel gains of the neighbor nodes, and the statistical characterization of all other nodes. Unlike the single antenna case, the optimal routing scheme cannot be explicitly expressed. Hence, we propose a smart-routing scheme for MIMO that adapts the number of data streams per user to the channel conditions. The numerical results demonstrate that this scheme outperforms all previously published schemes for this scenario. The findings highlight the importance of channel state information for efficient routing, and the need for an adaptive selection of the number of data streams at each transmitter.

在本文中，我们考虑了多输入多输出（MIMO）随机无线自组织网络（WANET）中的机会路由。我们的分析使用了物理层的适当模型以及较高通信层的抽象。我们假设节点是根据泊松点过程进行分布的，并考虑了一种机会选择路由下一个中继和空间多路复用数据流数量的路由方案。路由决策基于地理位置，相邻节点的信道增益以及所有其他节点的统计特征。与单天线情况不同，无法明确表示最佳路由方案。因此，我们提出了一种用于MIMO的智能路由方案，该方案可将每个用户的数据流数量调整到信道条件。数值结果表明，此方案优于此方案的所有先前发布的方案。这些发现强调了信道状态信息对于有效路由的重要性，以及在每个发射机处自适应选择数据流数量的需求。