论文标题
HARQ AID的下行链路NOMA系统的可实现多样性顺序
Achievable Diversity Order of HARQ-Aided Downlink NOMA Systems
论文作者
论文摘要
非正交的多重访问(NOMA)与混合自动重复请求(HARQ)之间的组合能够实现超可靠性,高吞吐量和许多并发连接,尤其是对于新兴的通信系统。本文着重于表征HARQ辅助NOMA系统中断电概率在发射功率(即多样性秩序)方面的渐近缩放定律。对HARQ AID的下行链路NOMA系统的三种基本类型的多样性顺序进行分析,包括I型HARQ,HARQ,以及Chase Combining(HARQ-CC)和HARQ具有增量冗余(HARQ-IR)。三个HARQ AID链路NOMA系统的多样性顺序是在封闭形式中得出的,其中开发了一个集成域分区的窍门,以获得专门针对HARQ-CC和HARQ-IR辅助NOMA系统的中断概率的界限。分析结果表明,多样性顺序是传输速率的降低步骤函数,只有在足够低的传输速率下才能实现全职多样性。还揭示了HARQ-IR ADED NOMA系统的多样性秩序最大,其次是HARQ-CC-ADED,然后是I型HARQ AIDED NOMA Systems。此外,用户的多样性订单遵循各自的平均渠道收益的下降订单。此外,我们扩展了关于发电的传输和不完美的通道状态信息(CSI)的讨论。蒙特卡洛模拟最终确认了我们的分析。
The combination between non-orthogonal multiple access (NOMA) and hybrid automatic repeat request (HARQ) is capable of realizing ultra-reliability, high throughput and many concurrent connections particularly for emerging communication systems. This paper focuses on characterizing the asymptotic scaling law of the outage probability of HARQ-aided NOMA systems with respect to the transmit power, i.e., diversity order. The analysis of diversity order is carried out for three basic types of HARQ-aided downlink NOMA systems, including Type I HARQ, HARQ with chase combining (HARQ-CC) and HARQ with incremental redundancy (HARQ-IR). The diversity orders of three HARQ-aided downlink NOMA systems are derived in closed-form, where an integration domain partition trick is developed to obtain the bounds of the outage probability specially for HARQ-CC and HARQ-IR-aided NOMA systems. The analytical results show that the diversity order is a decreasing step function of transmission rate, and full time diversity can only be achieved under a sufficiently low transmission rate. It is also revealed that HARQ-IR-aided NOMA systems have the largest diversity order, followed by HARQ-CC-aided and then Type I HARQ-aided NOMA systems. Additionally, the users' diversity orders follow a descending order according to their respective average channel gains. Furthermore, we expand discussions on the cases of power-efficient transmissions and imperfect channel state information (CSI). Monte Carlo simulations finally confirm our analysis.