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首页> 外文期刊>IEEE communications letters >Power Efficient Visible Light Communication With Unmanned Aerial Vehicles
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Power Efficient Visible Light Communication With Unmanned Aerial Vehicles

机译:与无人机的高能效可见光通信

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A novel approach that combines visible light communication (VLC) with unmanned aerial vehicles (UAVs) to simultaneously provide flexible communication and illumination is proposed. To minimize the power consumption, the locations of UAVs and the cell associations are optimized under illumination and communication constraints. An efficient sub-optimal solution that divides the original problem into two sub-problems is proposed. The first sub-problem is modeled as a classical smallest enclosing disk problem to obtain the optimal locations of UAVs, given the cell association. Then, assuming fixed UAV locations, the second sub-problem is modeled as a min-size clustering problem to obtain the optimized cell association. In addition, the obtained UAV locations and cell associations are iteratively optimized multiple times to reduce the power consumption. The numerical results show that the proposed approach can reduce the total transmit power consumption by at least 53.8% compared with two baseline algorithms with fixed UAV locations.
机译:提出了一种将可见光通信(VLC)与无人飞行器(UAV)相结合以同时提供灵活的通信和照明的新颖方法。为了使功耗最小化,在照明和通信约束下优化了无人机的位置和小区关联。提出了将原始问题分为两个子问题的有效次优解决方案。给定单元关联,将第一个子问题建模为经典的最小封闭磁盘问题,以获取无人飞行器的最佳位置。然后,假设无人机位置固定,则将第二子问题建模为最小大小的聚类问题,以获得优化的小区关联。另外,对获得的无人机位置和小区关联进行多次迭代优化,以降低功耗。数值结果表明,与两种固定无人机位置的基线算法相比,该方法可将总发射功率消耗降低至少53.8%。

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