While 5G networks are being rolled out, the definition of the potential 5G-Advanced features and the identification of disruptive technologies for 6G systems are being addressed by the scientific and academic communities to tackle the challenges that 2030 communication systems will face, such as terabit-capacity and always-on networks. In this framework, it is globally recognised that Non-Terrestrial Networks (NTN) will play a fundamental role in support to a fully connected world, in which physical, human, and digital domains will converge. In this framework, one of the main challenges that NTN have to address is the provision of the high throughput requested by the new ecosystem. In this paper, we focus on Cell-Free Multiple Input Multiple Output (CF-MIMO) algorithms for NTN. In particular: i) we discuss the architecture design supporting centralised and federated CF-MIMO in NTN, with the latter implementing distributed MIMO algorithms from multiple satellites in the same formation (swarm); ii) propose a novel location-based CF-MIMO algorithm, which does not require Channel State Information (CSI) at the transmitter; and iii) design novel normalisation approaches for federated CF-MIMO in NTN, to cope with the constraints on non-colocated radiating elements. The numerical results substantiate the good performance of the proposed algorithm, also in the presence of non-ideal information.
翻译:虽然正在推出5G网络,但科学和学术界正在探讨5G-高级功能的定义和6G系统破坏性技术的确定问题,以应对2030年通信系统将面临的挑战,如地铁能力和永远联网等2030年通信系统将面临的挑战。在这个框架内,全球都认识到,非地铁网络(NTN)将在支持一个充分连接的世界方面发挥根本作用,在这个世界中,物理、人类和数字领域将汇聚在一起。在这个框架内,NTN必须应对的主要挑战之一是提供新生态系统所要求的高通量。在本文件中,我们侧重于NTN的无细胞多输入多输出算法(CF-MIMO),特别是:(一) 我们讨论支持NTN的中央化和联合化的CF-MIMO的架构设计,后者将采用从同一编造的多颗卫星(swarm)传播的MIMO算法。NC-MIMO的基于位置的算法,这不需要在MICF的交付品中提供频道信息(CSI),并设计SF的正常数字化结果。