2018/04/18 by Alessandro Guidotti, Alessandro Vanelli‐Coralli, Guidotti, Alessandro +1 · 1 citation
Engineering · #Satellite Communication Systems #Advanced Wireless Network Optimization #Advanced MIMO Systems Optimization
paper · pdf · doi:10.48550/arxiv.1804.06614
Current State-of-the-Art High Throughput Satellite systems provide wide-area\nconnectivity through multi-beam architectures. Due to the tremendous system\nthroughput requirements that next generation Satellite Communications (SatCom)\nexpect to achieve, traditional 4-colour frequency reuse schemes are not\nsufficient anymore and more aggressive solutions as full frequency reuse are\nbeing considered for multi-beam SatCom. These approaches require advanced\ninterference management techniques to cope with the significantly increased\ninter-beam interference both at the transmitter, e.g., precoding, and at the\nreceiver, e.g., Multi User Detection (MUD). With respect to the former, several\npeculiar challenges arise when designed for SatCom systems. In particular,\nmultiple users are multiplexed in the same transmission radio frame, thus\nimposing to consider multiple channel matrices when computing the precoding\ncoefficients. In previous works, the main focus has been on the users'\nclustering and precoding design. However, even though achieving significant\nthroughput gains, no analysis has been performed on the impact of the system\nscheduling algorithm on multicast precoding, which is typically assumed random.\nIn this paper, we focus on this aspect by showing that, although the overall\nsystem performance is improved, a random scheduler does not properly tackle\nspecific scenarios in which the precoding algorithm can poorly perform. Based\non these considerations, we design a Geographical Scheduling Algorithm (GSA)\naimed at improving the precoding performance in these critical scenarios and,\nconsequently, the performance at system level as well. Through extensive\nnumerical simulations, we show that the proposed GSA provides a significant\nperformance improvement with respect to the legacy random scheduling.\n