Adaptive Rate NOMA for Cellular IoT Networks

Adaptive Rate NOMA for Cellular IoT Networks
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DOI:
10.1109/lwc.2021.3132932
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发表时间:
2022-03-01
影响因子:
6.3
通讯作者:
Dhillon, Harpreet S.
Dhillon, Harpreet S.
中科院分区:
计算机科学2区
文献类型:
--
作者:
Sreya, G.;Saigadha, S.;Dhillon, Harpreet S.

文献摘要

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物联网(IoT)技术被设想为通过连接数十亿个传感器/设备来实现各种实时应用。这些物联网设备依靠低功耗广域无线连接来传输它们观察到的随机过程的状态更新,这些状态更新大多是固定的,但尺寸很小。由于其无处不在,蜂窝网络被视为为物联网设备提供可靠无线连接的自然候选者。鉴于物联网设备数量庞大,与正交多址(OMA)相比,为移动用户和物联网设备启用非正交多址(NOMA)在频谱有效利用方面具有吸引力。例如,上行NOMA还可以配置为移动用户根据信道条件调整其传输速率,而物联网设备以固定速率传输。对于这种设置,我们使用随机几何分析了移动用户的遍历容量和物联网设备的平均本地延迟。我们的分析表明,在物联网设备延迟约束严格的情况下,上述NOMA配置为移动用户提供了比OMA更好的遍历容量。我们还表明,在相同的延迟约束下,NOMA在物联网设备上支持比OMA更大的数据包大小。
Internet-of-Things (IoT) technology is envisioned to enable a variety of real-time applications by interconnecting billions of sensors/devices. These IoT devices rely on low-power wide-area wireless connectivity for transmitting, mostly fixed- but small-size, status updates of the random processes observed by them. Owing to their ubiquity, cellular networks are seen as a natural candidate for providing reliable wireless connectivity to IoT devices. Given the massive number of IoT devices, enabling non-orthogonal multiple access (NOMA) for the mobile users and IoT devices is appealing in terms of the efficient utilization of spectrum compared to the orthogonal multiple access (OMA). For instance, the uplink NOMA can also be configured such that the mobile users adapt their transmission rates depending upon the channel conditions while the IoT devices transmit at a fixed rate. For this setting, we analyze the ergodic capacity of the mobile users and the mean local delay of IoT devices using stochastic geometry. Our analysis demonstrates that the aforementioned NOMA configuration provides better ergodic capacity for mobile users compared to OMA when delay constraint of IoT devices is strict. We also show that NOMA supports a larger packet size at IoT devices than OMA under the same delay constraint.