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首页> 外文期刊>International journal of mobile computing and multimedia communications >Throughput Optimization of Cooperative Teleoperated UGV Network
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Throughput Optimization of Cooperative Teleoperated UGV Network

机译：协同遥操作UGV网络的吞吐量优化

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Cooperative communications among group oj teleoperated unmanned ground vehicles (UGVs) allows to exploit spatial diversity in wireless fading channels by relaying signals between each other. Due to the high speed of the UGVs, the nature of the channel environments and the possible co-channel interference, the effect of multipath propagation and the Doppler spread are more pronounced. In this article, we proposed a low complexity dynamic channel assignment (DCA) technique with adaptive modulation and coding (AMC) strategy to allocate the available bandwidth over a number of communications links in a cooperative UGV network. In many processing algorithms and transmission protocols reported in the literature, performance improvement in terms of system throughput and reliability has been demonstrated. The proposed DCA with AMC in a cooperative UGV network has two objectives. First, to maximize the overall throughput of the cooperative UGV network and second, to significantly reduce the probability of outage in the system. In this article, the outage is defined as the percentage of time the links are incapable of supporting a minimum required transmission rate which is determined by the application. The DCA approach is formulated in terms of a binary optimization problem that is solved using the branch-and-bound method. The authors assum the links in the network to be Rayleigh faded and we used a finite state Markov chain (FSMC) for their modeling. Using Monte Carlo simulation, we showed that the proposed DCA approach in a cooperative UGVs provides significant gain in the overall throughput and reduction in the outage probability compared to the static channel assignment (SCA).
机译：遥控无人地面飞行器（UGV）组之间的协作通信允许通过在彼此之间中继信号来利用无线衰落信道中的空间分集。由于UGV的高速，信道环境的性质以及可能的同信道干扰，多径传播和多普勒扩展的影响更加明显。在本文中，我们提出了一种具有自适应调制和编码（AMC）策略的低复杂度动态信道分配（DCA）技术，以在协作UGV网络中的许多通信链路上分配可用带宽。在文献中报道的许多处理算法和传输协议中，已经证明了在系统吞吐量和可靠性方面的性能提高。协同UGV网络中带有AMC的拟议DCA具有两个目标。首先，最大程度地提高了协作式UGV网络的总体吞吐量，其次，大大降低了系统中断的可能性。在本文中，中断定义为链路无法支持由应用程序确定的最小所需传输速率的时间百分比。 DCA方法是根据使用分支定界法解决的二进制优化问题制定的。作者假设网络中的链接被瑞利衰落，我们使用有限状态马尔可夫链（FSMC）进行建模。使用蒙特卡洛模拟，我们表明，与静态信道分配（SCA）相比，协作式UGV中提出的DCA方法可显着提高总体吞吐量，并减少中断概率。

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