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Performance of Adaptive Bit and Power Allocation MIMO-OFDM System Based on Greedy Algorithm

机译:基于贪婪算法的自适应比特功率分配MIMO-OFDM系统的性能

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In this paper, the combination of orthogonal frequency-division multiplexed (OFDM), multi-input multi-output (MIMO) and adaptive modulation can effectively eliminate or resist various fading in wireless channels, thus it can improve the capacity of system and transmission quality.Depending on the optimal bit and power allocation strategy based on greedy algorithm, in this paper, the performance of adaptive bit and power allocation MIMO-OFDM system based on greedy algorithm is completely studied. And the performance comparison among greedy algorithm, Chow algorithm and average algorithm is represented. We also compare the performance of MIMO-OFDM system under different antennas numbers. It is shown that the bit error rate (BER) of MIMO-OFDM system based on greedy algorithm is better than that based on Chow algorithm and average algorithm. And the spectral efficiency of greedy algorithm is superior to that of Chow and average algorithm. Ultimately, we show that the performance of MIMO-OFDM system is also superior to that of OFDM system with single transmit antenna and receive antenna which is under the same scheme as the former.
机译:本文中,正交频分复用(OFDM)的组合,多输入多输出(MIMO)和自适应调制可以有效地消除或抵抗无线信道中的各种衰落,因此可以提高系统和传输质量的容量。基于贪婪算法的最优比特和功率分配策略,在本文中,完全研究了基于贪婪算法的自适应比特和功率分配MIMO-OFDM系统的性能。并且表示贪婪算法,分类算法和平均算法的性能比较。我们还比较了MIMO-OFDM系统在不同的天线号码下的性能。结果表明,基于贪婪算法的MIMO-OFDM系统的误码率(BER)优于CHOW算法和平均算法。贪婪算法的频谱效率优于咸同和平均算法。最终,我们表明MIMO-OFDM系统的性能也优于OFDM系统的单个发射天线,接收与前者相同的方案的接收天线。

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