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Capacity analysis and system optimization for the reverse link of multi-beam satellite broadband systems exploiting adaptive coding and modulation

机译:利用自适应编码和调制的多波束卫星宽带系统反向链路的容量分析和系统优化

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This paper deals with the system capacity analysis and assessment of the potential advantages provided by the introduction of Adaptive Coding and Modulation (ACM) in the reverse link of multi-beam broadband satellite systems. ACM is intended to increase the system throughput for a given terminal EIRP power by optimizing the individual links physical layer to the current channel conditions. The physical layer adaptation will be driven by the inbound demodulator signal over noise plus interference ratio (SN1R) estimation. A general methodology for ACM physical layer optimization based on the system capacity maximization is also illustrated. A theoretical analysis of ACM systems capacity is performed for both time division multiple access (TDMA) and code division multiple access (CDMA) schemes. As the exact analytical capacity computation results to be very complex while Monte Carlo approach leads to very time consuming simulations, a simplified semi-analytic approach is devised. Numerical results showing the huge improvement in terms of capacity by the ACM adoption are obtained for both the semi-analytic and the Monte Carlo approaches in a realistic study case corresponding to a Ka-band multibeam satellite system. A good match between the two approaches is also demonstrated.
机译:本文针对多波束宽带卫星系统反向链路中引入的自适应编码和调制(ACM)提供的系统容量分析和潜在优势评估。 ACM旨在通过针对当前信道条件优化各个链路物理层来提高给定终端EIRP功率的系统吞吐量。物理层自适应将由入站解调器信号对噪声加干扰比(SN1R)的估计来驱动。还说明了基于系统容量最大化的ACM物理层优化的一般方法。对时分多址(TDMA)和码分多址(CDMA)方案都进行了ACM系统容量的理论分析。由于精确的分析能力计算结果非常复杂,而蒙特卡洛方法导致非常耗时的模拟,因此设计了一种简化的半分析方法。在与Ka波段多波束卫星系统相对应的现实研究案例中,对于半解析和蒙特卡洛方法,均获得了通过ACM采用而在容量方面的巨大改进的数值结果。还证明了这两种方法之间的良好匹配。

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