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Partial detection for multiple antenna cooperation

机译:部分检测以实现多天线协作

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Multi-antenna relays can significantly increase the speed and reliability of wireless systems. However, because of the complexity of MIMO detection, there is considerable overhead in implementing a MIMO relay if the conventional detect-and-forward strategy is used. To address this challenge, we propose a novel cooperative partial detection (CPD) strategy that partitions the detection task between the relay and the destination. CPD leverages the structure of the tree-based close-to-ML MIMO detectors, and modifies the tree traversal so that instead of visiting all the levels of the tree, only a subset of the levels, thus a subset of the transmitted streams, are visited. This novel approach reduces the tree levels, i.e. dimensions, in both the relay and the destination. Moreover, CPD provides a flexible method to control the level of partitioning between the relay and the destination, and thus, adjust the detection computational complexity in the relay and the destination. Monte-Carlo simulation results show that, under equal transmit power and complexity constraint in the destination, CPD achieves a better BER performance compared to the non-relay scenario, with limited computational overhead in the relay.
机译:多天线中继可以显着提高无线系统的速度和可靠性。但是,由于MIMO检测的复杂性,如果使用常规的检测转发策略,则在实现MIMO中继时会有相当大的开销。为了解决这一挑战,我们提出了一种新颖的协作式局部检测(CPD)策略,该策略在中继器和目的地之间划分检测任务。 CPD充分利用了基于树的接近ML MIMO检测器的结构,并修改了树的遍历,以便代替访问树的所有级别,而仅访问级别的子集,即所传输流的子集。参观了。这种新颖的方法降低了中继站和目的地中的树级别,即维度。而且,CPD提供了一种灵活的方法来控制中继器和目的地之间的划分级别,从而调整中继器和目的地中的检测计算复杂度。蒙特卡洛仿真结果表明,在目标具有相同的发射功率和复杂性约束的情况下,与非中继方案相比,CPD可以实现更好的BER性能,并且中继的计算开销有限。

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