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How SIC-enabled LoRa Fares under Imperfect Orthogonality?

机译:如何在不完美的正交性下启用SIC-洛拉票价?

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With the increase of connected Internet-of-things (IoT) devices, the need for low-power wide-area networks (LP-WANs) is imminent, and LoRaWAN is one such technology that offers an elegant solution to the problem of long-range communication and battery consumption. A parameter of special interest in LoRaWANis the spreading factor (SF), and it is often assumed that communication between different SFs is independent of each other. However, this claim has been practically debunked by many works, proving that SFs have imperfect orthogonality. To maximize connectivity and throughput, several techniques have been introduced, such as non-orthogonal-multiple-access (NOMA) and dynamic resource allocation. NOMA is getting a lot of attention recently, especially for IoT networks, because it embraces interference and tries to obtain desired information packets from corrupted ones. Furthermore, NOMA can be easily implemented on the base-station side by using the principle of successive interference cancellation (SIC). In this paper, we investigate how SIC, under the assumption of imperfect orthogonality of SF channels, can be used to increase the performance of the system. We find the expressions for success and coverage probability considering various SF allocation schemes and found the most efficient scheme for different scenarios.
机译:随着相关的互联网(物联网)设备的增加,对低功耗广域网(LP-WAN)的需求迫在眉睫,LoraWan是一种这样的技术,可以提供优雅的解决方案的解决方案范围通信和电池消耗。 Lorawanis的特殊兴趣参数传播因子(SF),并且通常认为不同SFS之间的通信彼此独立。但是,这一索赔已经经过多种作品揭穿,证明SFS具有不完美的正交性。为了最大化连接性和吞吐量,已经引入了几种技术,例如非正交 - 多访问(NOMA)和动态资源分配。 NOMA最近越来越大,特别是对于IOT网络,因为它拥有干扰并尝试从损坏的信息包中获取所需的信息包。此外,通过使用连续干扰消除(SIC)的原理,可以在基站侧容易地在基站侧轻松实现NOMA。在本文中,我们调查如何在SF信道的不完美正交性的假设下,可以使用如何增加系统的性能。我们发现考虑到各种SF分配方案的成功和覆盖概率的表达,并找到了不同方案的最有效的方案。

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