Resource allocation for MIMO-OFDM video transmission systems based on joint source-channel coding

Chengwen Zhang, Xin Liu, Xuezhi Tan
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Abstract

To improve the performance of MIMO-OFDM video transmission systems on the limitation of wireless bandwidth and transmit power, we propose a resource allocation algorithm with joint source-channel coding (JSCC) based on H.264 video compression standard and RCPT channel coding. According to different thresholds of the average SNR of subchannels, the algorithm dynamically allocates the source coding parameters of video information and the channel coding parameters of RCPT, which realizes unequal error protection (UEP) for the video information of different importance. Through the bit and power allocation based on MQAM modulation and the subspace allocation based on beamforming technology for different subcarriers, it also makes full use of space-frequency domain resources. The simulation results indicate that the algorithm improves the adaptability of video transmission systems in different wireless environments and the effect of the video retrieval.
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基于信源信道联合编码的MIMO-OFDM视频传输系统资源分配
为了提高MIMO-OFDM视频传输系统在无线带宽和发射功率限制下的性能,提出了一种基于H.264视频压缩标准和RCPT信道编码的联合信源信道编码(JSCC)资源分配算法。该算法根据子信道平均信噪比的不同阈值,动态分配视频信息的源编码参数和RCPT的信道编码参数,对不同重要程度的视频信息实现不等错保护(UEP)。通过基于MQAM调制的位功率分配和基于波束形成技术的子空间分配,充分利用了空频域资源。仿真结果表明,该算法提高了视频传输系统在不同无线环境下的适应性和视频检索效果。
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