Intelligent reflecting surface (IRS)-enabled backscatter communications can be enabled by an access point (AP) that splits its transmit signal into modulated and unmodulated parts. This letter integrates non-orthogonal multiple access (NOMA) with this method to create a two-user primary system and a secondary system of IRS data. Considering the decoding order, we maximize the rate of the strongest primary user by jointly optimizing the IRS phase shifts, power splitting (PS) factor at the AP, and NOMA power coefficients while guaranteeing the quality of service (QoS) for both weak user and IRS data in the primary and secondary systems, respectively. The resulting optimization problem is non-convex. Thus, we split it into three parts and develop an alternating optimization (AO) algorithm. The advantage is that we derive closed-form solutions for the PS factor and NOMA power coefficients in the first two parts. In the third part, we optimize the phase shifts by exploiting semi-definite relaxation (SDR) and penalty techniques to handle the unit-modulus constraints. This algorithm achieves substantial gains (e.g., 40--68%) compared to relevant baseline schemes.
翻译:智能反射表面(IRS)驱动的后向散射通信可以通过一个接入点(AP)将其传输信号分割成调制和无调制的部件,使智能反射表面(IRS)驱动的后向散射通信能够产生。本信将非横向多重访问(NOMA)与创建双用户初级系统和IRS数据的二级系统的方法相结合。考虑到解码顺序,我们通过联合优化IRS阶段转移、AP的分电因子(PS)和NOMA功率系数,使最强的初级用户的速率最大化,同时保证初级和二级系统中弱用户和IRS数据的服务质量(QS)。由此产生的优化问题为非电离子。因此,我们将其分为三个部分,并开发了交替优化(AO)算法。优势在于我们在前两部分为PS因子和NOMA功率系数制定封闭式解决方案。在第三部分,我们通过利用半确定性放松(SDR)和惩罚技术处理单位模LULULI(S)数据的质量,从而实现了40项基准限制。