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Throughput-Oriented Non-Orthogonal Random Access Scheme for Massive MTC Networks
IEEE Transactions on Communications ( IF 8.3 ) Pub Date : 2020-03-01 , DOI: 10.1109/tcomm.2019.2957767
Yichen Wang , Tao Wang , Zihuan Yang , Dawei Wang , Julian Cheng

Machine-type communications (MTC) technology, which enables direct communications among devices, plays an important role in realizing Internet-of-Things. However, a large number of MTC devices can cause severe collisions. As a result, the network throughput is decreased and the access delay is increased. To address this issue, a throughput-oriented non-orthogonal random access (NORA) scheme is proposed for massive machine-type communications (mMTC) networks. Specifically, by employing the technique of tagged preambles (PAs), multiple MTC devices (MTCDs) choosing the same PA can be distinguished and regarded as a non-orthogonal multiple access (NOMA) group, which enables multiple MTCDs to share the same physical uplink shared channel for transmissions by multiplexing in the power domain. The Sukhatme’s classic theory and the characteristic function approach are adopted to formulate an optimization problem. The aim is to maximize the throughput subject to the constraints on the power back-off factor, the number of MTCDs included in a NOMA group, and the successful transmission probability. Based on the particle swarm optimization (PSO) algorithm, the formulated optimization problem is efficiently solved. The derived solution can be used to adjust the access class barring factor such that more MTCDs can obtain the access opportunities. Moreover, a low-complexity suboptimal solution is also developed, which can achieve near-PSO performance under high data rate requirement. Simulation results show that the proposed scheme can efficiently improve the network performance and comparison is made with the existing schemes.

中文翻译:

面向大规模 MTC 网络的面向吞吐量的非正交随机访问方案

机器类通信(MTC)技术可以实现设备之间的直接通信,在实现物联网方面发挥着重要作用。但是,大量的 MTC 设备会导致严重的冲突。结果,网络吞吐量降低,访问延迟增加。为了解决这个问题,针对大规模机器类型通信(mMTC)网络提出了一种面向吞吐量的非正交随机访问(NORA)方案。具体而言,通过采用标记前导码(PA)技术,可以区分选择相同PA的多个MTC设备(MTCD),并将其视为一个非正交多址(NOMA)组,使多个MTCD可以共享相同的物理上行链路通过在功率域中多路复用传输共享信道。采用Sukhatme 的经典理论和特征函数方法来制定优化问题。目标是在功率回退因子、包含在 NOMA 组中的 MTCD 数量以及成功传输概率的约束下最大化吞吐量。基于粒子群优化(PSO)算法,有效地解决了公式化的优化问题。推导出的方案可以用来调整接入等级限制因子,使得更多的MTCD可以获得接入机会。此外,还开发了一种低复杂度的次优解决方案,可以在高数据速率要求下实现接近 PSO 的性能。仿真结果表明,所提出的方案能够有效地提高网络性能,并与现有方案进行了比较。
更新日期:2020-03-01
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