This work explores the flexible assignment of users to beams in order to match the non-uniform traffic demand in satellite systems, breaking the conventional cell boundaries and serving users potentially by non-dominant% \textcolor{blue}{[NA] not so accurate description } beams. The additional degree of freedom from the flexible beam-user mapping brings about a user-centric framework, with a two-step optimization process as a practical strategy. The smart beam-user mapping is jointly explored with adjustable bandwidth allocation per beam, and tested against different techniques for payloads with flexible radio resource allocation. Numerical results are obtained for various non-uniform traffic distributions to evaluate the performance of the solutions. The traffic profile across beams is shaped by the Dirichlet distribution, which can be conveniently parameterized, and makes simulations easily reproducible. Even with ideal conditions for the power allocation, both flexible beam-user mapping and adjustable power allocation similarly enhance the flexible assignment of the bandwidth on average. Results show that a smart pairing of users and beams provides significant advantages in highly asymmetric demand scenarios, with improvements up to 10\% and 30\% in terms of the offered and the minimum user rates, respectively, in hot-spot like cases with no impact on the user equipment.
翻译:这项工作探索了用户对光束的灵活分配,以便匹配卫星系统中的非统一交通需求,打破传统的细胞界限,并有可能通过非支配性% \ textcolor{bluue{{{{{{{{NA} 如此准确的描述来为用户提供服务。从灵活的光束用户绘图中获得更多程度的自由,将产生一个以用户为中心的框架,作为一种实用战略,采用两步优化程序。智能光束用户绘图与每束可调整的带宽配置共同探索,并对照灵活无线电资源分配的有效载荷的不同技术进行测试。各种非统一性交通分布取得数字结果,以评价解决方案的性能。横梁的交通分布由Drichlet分布决定,这种分布可以方便地进行参数化,并使模拟容易地重现。即使配电的理想条件,灵活的光束制图和可调整的电力配置也同样提高了平均带宽的弹性分配。结果显示,在高度不对称的用户需求情景下,用户和比例的智能配对子提供了显著的优势。