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arXiv 2510.04744eess.SP
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超对角RIS辅助频谱接入的多层非地面网络

Multilayer Non-Terrestrial Networks with Spectrum Access aided by Beyond-Diagonal RIS

Wali Ullah Khan, Chandan Kumar Sheemar, Eva Lagunas, Xingwang Li, Symeon Chatzinotas, Petar Popovski, Zhu Han

AI总结:

针对多层非地面网络的频谱接入问题,提出配备透射式BD-RIS的HAPS认知网络方案,通过交替优化框架求解联合优化问题,相较对角RIS基准在速率和干扰抑制上有显著增益。

摘要:

本文研究了一种多用户非地面网络(NTN),其中卫星作为主网络,高空平台站(HAPS)作为次网络,以认知无线电模式运行。为降低传统天线阵列的成本、复杂度和功耗,我们为HAPS配备了透射式超对角RIS(BD-RIS)天线前端。随后,我们在严格的每用户干扰温度约束下,构建了BD-RIS相位响应与HAPS发射功率分配的联合优化问题。为解决由此产生的高度非凸问题,我们提出了一种交替优化框架:功率分配子问题可通过由Karush-Kuhn-Tucker(KKT)条件推导的闭式注水类解法求解,而BD-RIS配置则通过黎曼流形优化进行优化。仿真结果表明,与对角RIS辅助的基准方案相比,该方案在数据速率和干扰抑制方面均有显著提升,证明BD-RIS是未来多层NTN的一项极具潜力的使能技术。

英文摘要:

In this work, we study a multi-user NTN in which a satellite serves as the primary network and a high-altitude platform station (HAPS) operates as the secondary network, acting as a cognitive radio. To reduce the cost, complexity, and power consumption of conventional antenna arrays, we equip the HAPS with a transmissive BD-RIS antenna front end. We then formulate a joint optimization problem for the BD-RIS phase response and the HAPS transmit power allocation under strict per-user interference temperature constraints. To tackle the resulting highly nonconvex problem, we propose an alternating-optimization framework: the power-allocation subproblem admits a closed-form, water-filling-type solution derived from the Karush-Kuhn-Tucker (KKT) conditions, while the BD-RIS configuration is refined via Riemannian manifold optimization. Simulation results show significant gains in data rate and interference suppression over diagonal RIS-assisted benchmarks, establishing BD-RIS as a promising enabler for future multilayer NTNs.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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