当前位置: X-MOL 学术IEEE Trans. Commun. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Sequencing and Scheduling for Multi-User Machine-Type Communication
IEEE Transactions on Communications ( IF 8.3 ) Pub Date : 2020-04-01 , DOI: 10.1109/tcomm.2020.2967745
Sheeraz A. Alvi , Xiangyun Zhou , Salman Durrani , Duy Trong Ngo

In this paper, we propose joint sequencing and scheduling optimization for uplink machine-type communication (MTC). We consider multiple energy-constrained MTC devices that transmit data to a base station following the time division multiple access (TDMA) protocol. Conventionally, the energy efficiency performance in TDMA is optimized through multi-user scheduling, i.e., changing the transmission block length allocated to different devices. In such a system, the sequence of devices for transmission, i.e., who transmits first and who transmits second, etc., has not been considered as it does not have any impact on the energy efficiency. In this work, we consider that data compression is performed before transmission and show that the multi-user sequencing is indeed important. We apply three popular energy-minimization system objectives, which differ in terms of the overall system performance and fairness among the devices. We jointly optimize both multi-user sequencing and scheduling along with the compression and transmission rate control. Our results show that multi-user sequence optimization significantly improves the energy efficiency performance of the system. Notably, it makes the TDMA-based multi-user transmissions more likely to be feasible in the lower latency regime, and the performance gain is larger when the delay bound is stringent.

中文翻译:

多用户机器类型通信的排序和调度

在本文中,我们提出了上行机器类型通信(MTC)的联合排序和调度优化。我们考虑按照时分多址 (TDMA) 协议将数据传输到基站的多个能量受限 MTC 设备。传统上,TDMA 的能效性能是通过多用户调度来优化的,即改变分配给不同设备的传输块长度。在这样的系统中,没有考虑传输设备的顺序,即谁先传输,谁第二次传输等等,因为它对能量效率没有任何影响。在这项工作中,我们考虑在传输之前执行数据压缩,并表明多用户排序确实很重要。我们应用了三个流行的能源最小化系统目标,这在整体系统性能和设备之间的公平性方面有所不同。我们共同优化多用户排序和调度以及压缩和传输速率控制。我们的结果表明,多用户序列优化显着提高了系统的能效性能。值得注意的是,它使基于 TDMA 的多用户传输更有可能在低延迟状态下可行,并且当延迟限制严格时性能增益更大。
更新日期:2020-04-01
down
wechat
bug