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Power Minimization for Two-Cell IRS-Aided NOMA Systems With Joint Detection

机译:具有关节检测的双单元IRS辅助NOMA系统的功率最小化

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Intelligent reflecting surface (IRS) is a revolutionizing technology to boost the energy and spectrum efficiency by reconfiguring wireless propagation environment. In this letter, IRS is leveraged to improve the performance of the cell-edge user as well as the coordinated multi-point transmission (CoMP). Particularly, an uplink power minimization problem is formulated to jointly optimize the power allocation and the phase shifts in a two-cell IRS-aided non-orthogonal multiple access (NOMA) system with joint detection. To render the original problem tractable, the joint optimization problem of power allocation and phase shift is converted into a pure phase shift determination problem. Furthermore, a low-complexity method with closed-form solution is developed to address the transformed problem. It is shown by simulation that the power consumption of the proposed scheme is quite close to the lower bound and is less than those of various benchmarking schemes.
机译:智能反射表面(IRS)是一种通过重新配置无线传播环境来提高能量和频谱效率的革命性。 在这封信中,利用IRS来改善小区边级用户的性能以及协调的多点传输(COMP)。 特别地,配制上行链路功率最小化问题以共同优化具有关节检测的双小区IRS辅助非正交多址(NOMA)系统中的功率分配和相移。 为了渲染原始问题,电力分配和相移的联合优化问题被转换为纯相移确定问题。 此外,开发了一种具有闭合溶液的低复杂性方法以解决变化的问题。 通过模拟示出了所提出的方案的功耗非常接近下限并且小于各种基准方案的功耗。

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