In this paper we present rst real-time outdoor multi-user multi-antenna measurements based on system parameters close to 3GPP-Long Term Evolution. We demonstrate switching between various transmission modes in the downlink steered by a quantized feedback channel. Real time results show that an OFDMA proportional fair scheduler based on the quantized feedback achieves signi cant performance gains over a xed OFDM-TDMA system. However, the proportional fair scheduler results in user starvation periods in the event of correlated feedbacks. To this end, we formulate a downlink scheduling problem with zero-starvation as a short term fairness [5] objective. This is an integer programming (IP) problem. In this paper, we present a simple heuristic algorithm for this problem for K=2 users. Signi cant system sum rate gains are shown while still ful lling the fairness objective.
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机译:在本文中,我们基于接近3GPP长期演进的系统参数呈现RST实时户外多用户多天线测量。我们展示由量化反馈信道转向的下行链路中的各种传输模式之间的切换。实时结果表明,基于量化反馈的OFDMA比例公平调度器实现了在XED OFDMS系统上实现的显着性能。然而,比例的公平调度器导致用户饥饿期在相关反馈的情况下。为此,我们制定了一个下行链路调度问题,零饥饿是短期公平[5]目标。这是一个整数编程(IP)问题。在本文中,我们为k = 2个用户提供了一个简单的启发式算法。 Signi Cant System Sum率收益显示,同时仍然耗尽公平目标。
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