Low Complexity Based QR-LRL OSIC Detector for Downlink NOMA-MIMO Systems

Rahul Makkar, Venugopalachary Kotha, D. Rawal, Vijay Kumar Chakka, N. Sharma
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引用次数: 2

Abstract

Power domain NOMA SISO system achieve more capacity compared to OMA system for a given power. To enhance the overall system capacity, NOMA-MIMO based downlink system with superposition coding (SC) coding is considered in this work. With the incorporation of MIMO, the detector subject to interuser as well as interantenna interference. Conventionally, after receiving the signal from the base station (BS), each user eliminates the interantenna interference using zero-forcing (ZF) based linear detector. This paper proposes low-complexity based QR-LRL detector to overcome jointly the interuser interference and interantenna interference. The performance of the proposed detector under BER and capacity metrics compared with ZFSIC and ML detectors. Simulation results show that the proposed receiver guarantees near ML performance with lower complexity for NOMA-MIMO downlink systems. It presents the sumrate improvement for various MIMO configurations with different modulation orders. It also provides optimal power allocation factor $(\alpha)$ to experience the same BER at both the near user (NU) and the far user (FU) using ZF and QR-LRL detector.
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基于低复杂度的下行NOMA-MIMO系统QR-LRL OSIC检测器
功率域NOMA SISO系统在给定功率下比OMA系统实现更大的容量。为了提高系统的整体容量,本文考虑了基于NOMA-MIMO的下行系统与叠加编码(SC)编码。随着MIMO的引入,探测器受到用户间和天线间的干扰。传统上,每个用户在接收到来自基站(BS)的信号后,使用基于零强迫(ZF)的线性检测器消除天线间干扰。为了克服用户间干扰和天线间干扰,提出了一种基于低复杂度的QR-LRL检测器。该检测器在误码率和容量指标下的性能与ZFSIC和ML检测器进行了比较。仿真结果表明,该接收机能够以较低的复杂度保证NOMA-MIMO下行系统接近机器学习的性能。针对不同调制阶数的MIMO配置,给出了系统性能的改进。它还提供了最佳的功率分配因子$(\alpha)$,使用ZF和QR-LRL检测器在近用户(NU)和远用户(FU)处获得相同的BER。
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