首页> 外文期刊>IEEE transactions on mobile computing >Concurrent Packet Recovery for Distributed Uplink Multiuser MIMO Networks
【24h】

Concurrent Packet Recovery for Distributed Uplink Multiuser MIMO Networks

机译:分布式上行链路多用户MIMO网络的并发数据包恢复

获取原文
获取原文并翻译 | 示例

摘要

While recent works on multiuser MIMO (MU-MIMO) mainly focus on boosting the throughput by enabling concurrent transmissions, less attention is paid to recovering concurrent erroneous streams. We however notice that uplink MU-MIMO is especially vulnerable to errors because error in any stream corrupts most of the other concurrent streams. Even worse, carrier sense and rate adaptation become more challenging in MU-MIMO, which further decreases reliability. Existing systems however recover errors by retransmitting all the streams in a corrupted packet, thereby taking away the significant performance benefit of MU-MIMO. To effectively harness the ideal gain of MU-MIMO, we develop Concurrent Packet Recovery (CPR ), a recovery protocol customized for MU-MIMO. It has two distinctive features: (i) It judiciously selects the minimum number of streams to be retransmitted to support successful decoding; (ii) during retransmission, it utilizes the full degrees of freedom by allowing new streams to be sent in parallel. Our evaluation via testbed experiments and trace-driven simulations shows that can efficiently recover both normal losses and collisions. For three-antenna AP scenarios, the throughput gain is up to 31.1 percent when no hidden terminal exists, and is 3.16× when 20 percent pairs of contending clients are hidden terminals.
机译:尽管最近在多用户MIMO(MU-MIMO)上的工作主要集中在通过启用并发传输来提高吞吐量,但对恢复并发错误流的关注较少。但是,我们注意到上行链路MU-MIMO特别容易出错,因为任何流中的错误都会破坏大多数其他并发流。更糟糕的是,载波侦听和速率自适应在MU-MIMO中变得更具挑战性,这进一步降低了可靠性。但是,现有系统通过重新传输损坏的数据包中的所有流来恢复错误,从而剥夺了MU-MIMO的显着性能优势。为了有效利用MU-MIMO的理想增益,我们开发了并行数据包恢复(CPR),这是一种针对MU-MIMO定制的恢复协议。它具有两个显着特征:(i)明智地选择要重新传输的最小流数以支持成功解码; (ii)在重传期间,它通过允许并行发送新流来利用全部自由度。我们通过试验台实验和跟踪驱动的模拟进行的评估表明,该方法可以有效地恢复正常损耗和碰撞。对于三天线AP方案,当不存在隐藏终端时,吞吐量增益高达31.1%,而当20%的竞争客户端对为隐藏终端时,吞吐量增益为3.16倍。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号