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Adaptive Rate Control for Multi-Antenna Multicast in OFDM Systems

机译:OFDM系统中多天线组播的自适应速率控制

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We propose two rate control schemes for multi-antenna multicast in OFDM systems, which aim to maximize the minimum average rate over all users in a multicast group. In our system, we do not require all multicast users to successfully recover the signals received on each subcarrier. In contrast, we allow certain loss for multicast users, such that the multicast transmission rate can be increased. We assume that the loss-repairing can be completed at upper protocol layers via advanced fountain codes. Following this principle, we formulate the rate control problem via beamforming in multi-antenna multicast to optimize the minimum achievable rate for all multicast users. While the computation complexity to solve for the optimal beamformer is prohibitively high, we propose a suboptimal iterative rate control scheme. Moreover, we modify the above optimization problem by selecting a ?xed proportion of users on each subcarrier. The beamformer searching process will then be performed only based on the selected users on each subcarrier, such that the complexity can be further reduced. We also solve this new problem with a low complexity approach. Theoretical analyses and simulation results show that our proposed two rate control schemes can have higher minimum average rate than the baseline scheme without rate control, while achieving low complexity.
机译:我们为OFDM系统中的多天线多播提出了两种速率控制方案,旨在使多播组中所有用户的最小平均速率最大化。在我们的系统中,我们不需要所有的多播用户来成功恢复在每个子载波上接收到的信号。相反,我们允许多播用户一定损失,从而可以提高多播传输速率。我们假设可以通过高级喷泉代码在高层协议层完成丢失修复。遵循此原理,我们在多天线组播中通过波束成形来制定速率控制问题,以优化所有组播用户的最小可实现速率。虽然解决最佳波束形成器的计算复杂度过高,但我们提出了次优的迭代速率控制方案。此外,我们通过选择每个子载波上固定比例的用户来修改上述优化问题。然后将仅基于每个子载波上的所选用户来执行波束形成器搜索过程,从而可以进一步降低复杂度。我们还以低复杂度的方法解决了这个新问题。理论分析和仿真结果表明,我们提出的两种速率控制方案比没有速率控制的基线方案具有更高的最小平均速率,同时实现了较低的复杂度。

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