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Sum rate maximization for uplink distributed massive MIMO systems with limited backhaul capacity

机译:具有有限回程容量的上行链路分布式大规模MIMO系统的总速率最大化

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We investigated the uplink sum rate maximization for Distributed Massive MIMO (DM-MIMO) system with limited backhaul capacity. In this system, a number of single antenna autonomous terminals simultaneously transmit data streams to a group of distributed Remote Radio Heads (RRH). These RRHs are connected to a Central Unit (CU) via links with limited capacity. Each RRH quantizes the signal received by each of its antennas and forwards the bits to the backhaul. In this paper we first derive uplink achievable sum rate of the DM-MIMO system under limited backhaul capacity. Due to the complexity of the derived sum rate, an estimation is presented considering the massive MIMO context. This estimated sum rate is verified numerically. Then we show that even if backhaul capacity is limited, DM-MIMO can outperform the centralized case. Finally the sum rate maximization problem for DM-MIMO is formulated and simplified version of the problem is solved.
机译:我们研究了具有有限回程容量的分布式大规模MIMO(DM-MIMO)系统的上行链路总速率最大化。在该系统中,多个单天线自治终端同时将数据流传输到一组分布式远程无线电头端(RRH)。这些RRH通过容量有限的链路连接到中央单元(CU)。每个RRH量化由其每个天线接收的信号,并将这些比特转发到回程。在本文中,我们首先导出在有限回程容量下DM-MIMO系统的上行链路可达到的总速率。由于得出的求和速率的复杂性,考虑了大规模MIMO上下文,提出了一种估算方法。该估计的总和率通过数字验证。然后我们证明,即使回程容量受到限制,DM-MIMO也可以胜过集中式情况。最后,提出了DM-MIMO的总速率最大化问题,并简化了该问题。

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