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Mobility-Aware Multi-User MIMO Link Scheduling for Dense Wireless Networks

In this paper, we consider the multiuser MIMO scheduling problem for dense wireless networks with access point cooperation. The problem is to maximize the aggregate throughput within a single cluster of access points, while maintaining a general fairness criterion. To alleviate the protocol overhead and sustain the performance of both stationary and mobile users, we propose a mobility-aware scheduling approach, which places users into stationary and mobile groups based on a novel CSI similarity metric. The algorithm then schedules the two groups into separate time slots. To balance fairness between stationary and mobile user groups, we adaptively determine their transmission time fractions. Different scheduling strategies are applied for the two groups. For stationary users, we collect CSI infrequently and perform a computationally expensive scheduling algorithm that is highly optimized to maximize throughput while maintaining fairness. For mobile users, we do per-time-slot CSI measurement and schedule users for each time slot using a very fast but less-optimized algorithm. Numerical results demonstrate that, when accounting for CSI feedback and scheduling overheads, our proposed scheduling algorithm with mobility awareness maintains very good fairness and provides substantial performance gains compared to conventional approaches that do not separate mobile and stationary users.