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On power allocation strategies for maximum signal to noise and interference ratio in an OFDM-MIMO system

机译:OFDM-MIMO系统中最大信号与干扰比的功率分配策略

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Orthogonal frequency division multiplexing (OFDM) has been recently established for several systems such as HiperLAN/2 and Digital video/audio broadcasting, due the easy implementation of the modulator/demodulator and the equalizer. Moreover, also increasing interest is currently being put on multiple-input multiple-output (MIMO) channels, based on the use of antenna arrays at both the transmitter and the receiver. Here, we propose two joint beamforming strategies of low computational load for systems combining OFDM and MIMO. The ultimate objective is the maximization of the signal-to-noise and interference ratio (SNIR) over the carriers subject to a total transmit power constraint. Specifically, the maximization of the harmonic SNIR mean and the minimum SNIR over the subcarriers are proposed. The asymptotic behavior of the proposed methods is analyzed to provide a complete comparative and general view of the most relevant and already known transmit power allocation strategies. Finally, a theoretical analysis of the performance degradation of these techniques is carried out for the case in which the channel state information (CSI) is not perfect. Monte Carlo simulation results for the system bit-error rate and performance degradation with imperfect CSI are provided.
机译:最近已经为几个系统(例如Hiperlan / 2和数字视频/音频广播)建立了正交频分复用(OFDM),由于调制器/解调器和均衡器的易于实现。此外,基于在发送器和接收器的天线阵列的使用,目前还在多输入多输出(MIMO)信道上的增加的兴趣。在这里,我们提出了两种用于组合OFDM和MIMO的系统的低计算负荷的联合波束形成策略。最终目标是经过总发射功率约束的载波上的信号对噪声和干扰比(SNIR)的最大化。具体地,提出了谐波Snir的最大化和子载波上的最小蛇。分析了所提出的方法的渐近行为,提供了最相关和已知的传输功率分配策略的完整比较和一般观点。最后,对信道状态信息(CSI)不完美的情况进行了对这些技术的性能劣化的理论分析。提供了系统误码率和具有不完美CSI的系统误码率和性能劣化的蒙特卡罗仿真结果。

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