Rate-Splitting Multiple Access for Joint Radar-Communications with Low-Resolution DACs

Rate-Splitting Multiple Access for Joint Radar-Communications with Low-Resolution DACs
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DOI:
10.1109/iccworkshops50388.2021.9473742
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发表时间:
2021-04
期刊:
2021 IEEE International Conference on Communications Workshops (ICC Workshops)
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通讯作者:
Onur Dizdar;Aryan Kaushik;B. Clerckx;C. Masouros
Onur Dizdar;Aryan Kaushik;B. Clerckx;C. Masouros
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其他
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作者:
Onur Dizdar;Aryan Kaushik;B. Clerckx;C. Masouros

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本文介绍了一种采用速率分割多址(RSMA)和低分辨率数模转换器(DAC)单元的多天线联合雷达通信(JRC)系统的设计。利用RSMA将通信消息分为私有部分和公共部分,然后在传输之前对其进行预编码和量化。我们使用问题描述来设计具有RSMA和低分辨率DAC的JRC系统,方法是在平均发射功率约束下最大化通信和速率以及所得到的JRC波形与最优雷达波束方向图的接近程度。利用乘子交替方向法(ADMM)求解了联合求和速率最大化和波束方向图误差最小化问题。数值结果表明,与空分多址(SDMA)相比,RSMA在提供相同归一化均方误差(NMSE)的同时,获得了比空分多址(SDMA)更高的和速率。
In this paper, we introduce the design of a multi-antenna Joint Radar-Communication (JRC) system with Rate Splitting Multiple Access (RSMA) and low resolution Digital-to-Analog Converter (DAC) units. Using RSMA, the communication messages are split into private and common parts, then precoded and quantized before transmission. We use a problem formulation to design the JRC system with RSMA and low resolution DACs by maximizing communication sum-rate and the proximity of the resulting JRC waveform to an optimal radar beampattern under an average transmit power constraint. We solve the joint sum-rate maximization and beampattern error minimization problem using Alternating Direction Method of Multipliers (ADMM) method. The numerical results show that RSMA achieves a significantly higher sum-rate compared to Space Division Multiple Access (SDMA) while providing the same Normalized Mean Square Error (NMSE) for the designed radar beampattern.