A robust OFDM IM-QAM NOMA scheme for URLLC and eMBB downlink service coexistence

IF 2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Athanasios C. Iossifides , Athanasios Lioumpas , Traianos V. Yioultsis
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引用次数: 0

Abstract

This work introduces a non-orthogonal multiple access (NOMA) scheme suitable for low-rate ultra-reliable low-latency communication (URLLC) and enhanced mobile broadband (eMBB) services multiplexing in downlink communication. Tailored to minimize mutual interference, URLLC information is conveyed via a modified index modulation (IM) scheme on top of quadrature amplitude modulation (QAM) transferring eMBB traffic. Aiming at providing a proof of concept of the proposed scheme, we calculate the bit error rate of both services over Rayleigh fading with diversity, as well as the eMBB service achievable rate with typical multi-input multi-output (MIMO) configuration when the URLLC service utilizes space–time coding or diversity. The proposed scheme achieves a low bit error rate for the URLLC IM signal, at the cost of a lower information rate, while affecting the performance of the eMBB user mainly due to power sharing among the IM and QAM signals. To further investigate the feasibility of the proposed scheme, we calculate the transmission energy required by the base station to support both services over a typical cellular channel model, for various service requirements and user distances, in comparison to an orthogonal multiple access (OMA) puncturing scheme utilizing time-multiplexing of QAM for the eMBB traffic and BPSK for the URLLC traffic. Overall, our results show that the proposed scheme attains better performance compared to the puncturing scheme and offers a robust solution with easy user pairing for low-rate URLLC and typical eMBB downlink service multiplexing for 5G communications and beyond.

用于 URLLC 和 eMBB 下行链路服务共存的稳健 OFDM IM-QAM NOMA 方案
这项研究介绍了一种非正交多址(NOMA)方案,适用于下行链路通信中的低速率超可靠低延迟通信(URLLC)和增强型移动宽带(eMBB)服务复用。为最大限度地减少相互干扰,URLLC 信息是在传输 eMBB 流量的正交调幅(QAM)基础上通过改进的指数调制(IM)方案传输的。为了验证所提方案的概念,我们计算了两种服务在瑞利衰落和分集情况下的误码率,以及当 URLLC 服务采用时空编码或分集时,eMBB 服务在典型多输入多输出(MIMO)配置下的可实现速率。提议的方案为 URLLC IM 信号实现了较低的误码率,但代价是较低的信息速率,同时主要由于 IM 和 QAM 信号之间的功率共享而影响了 eMBB 用户的性能。为了进一步研究建议方案的可行性,我们计算了基站在典型蜂窝信道模型上支持两种服务所需的传输能量,并将其与利用 QAM 的时间多路复用(eMBB 流量)和 BPSK 的时间多路复用(URLLC 流量)的正交多路访问(OMA)穿刺方案进行比较,以满足不同的服务要求和用户距离。总之,我们的研究结果表明,与穿刺方案相比,建议的方案性能更佳,并为低速率 URLLC 和典型 eMBB 下行链路服务复用提供了一种稳健的解决方案,且用户配对简单,适用于 5G 通信及其他领域。
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来源期刊
Physical Communication
Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS
CiteScore
5.00
自引率
9.10%
发文量
212
审稿时长
55 days
期刊介绍: PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.
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