A whole suite of innovative technologies and architectures have emerged in response to the rapid growth of wireless traffic. This paper studies an integrated network design that boosts system capacity through cooperation between wireless access points (APs) and a satellite for enhancing the network's spectral efficiency. We first mathematically derive an achievable throughput expression for the uplink (UL) data transmission over spatially correlated Rician channels. Our generic achievable throughput expression is applicable for arbitrary received signal detection techniques under realistic imperfect channel estimates. A closed-form expression is then obtained for the ergodic UL data throughput when maximum ratio combining is utilized for detecting the desired signals. As for our resource allocation contributions, we formulate the max-min fairness and total transmit power optimization problems relying on the channel statistics for performing power allocation. The solution of each optimization problem is derived in form of a low-complexity iterative design, in which each data power variable is updated relying on a closed-form expression. Our integrated hybrid network concept allows users to be served that may not otherwise be accommodated due to the excessive data demands. The algorithms proposed to allow us to address the congestion issues appearing when at least one user is served at a rate below the target. The mathematical analysis is also illustrated with the aid of our numerical results that show the added benefits of considering the space links in terms of improving the ergodic data throughput. Furthermore, the proposed algorithms smoothly circumvent any potential congestion, especially in face of high rate requirements and weak channel conditions.
翻译:由于无线通信量的迅速增长,出现了一整套创新技术和架构。本文研究一个综合网络设计,通过无线接入点和卫星之间的合作,提高网络光谱效率,提高系统能力。我们首先从数学中为空间相关里西亚频道的上链接(UL)数据传输产生一个可实现的输送表达式。我们通用的可实现输送表达式适用于在现实不完善的频道估计下任意接收信号检测技术。然后为ergodic UL数据传输量获得一种封闭式表达式表达式,在利用最大合并比率来探测预期信号时,使用最大组合比率来提高系统能力。关于资源分配贡献,我们制定最大公平性和总传输能力优化问题,依靠频道统计数据进行权力分配。每个优化问题的解决方案的形式是低兼容性迭接式设计,其中每个数据变异端根据封闭式表达式的表达式进行更新。我们的综合混合网络概念允许用户获得服务,而由于过度的数据需求,可能无法满足其他用途。关于解决当前面面面性压问题的拟议算法是,在至少一个用户以数字比率为下的数据比率进行数据分析时,同时显示数字链接的潜在效益。