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首页> 外文期刊>Signal Processing, IEEE Transactions on >Exploiting Base Station Caching in MIMO Cellular Networks: Opportunistic Cooperation for Video Streaming
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Exploiting Base Station Caching in MIMO Cellular Networks: Opportunistic Cooperation for Video Streaming

机译:利用MIMO蜂窝网络中的基站缓存:视频流的机会合作

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We propose a novel MIMO cooperation framework called the cache-induced opportunistic cooperative MIMO (Coop-MIMO) for video streaming in backhaul limited multicell MIMO networks. By caching a portion of the video files, the base stations (BSs) opportunistically employ Coop-MIMO transmission to achieve MIMO cooperation gain without expensive payload backhaul. We derive closed form expressions of various video streaming performance metrics for cache-induced opportunistic Coop-MIMO and investigate the impact of BS level caching and key system parameters on the performance. Specifically, we first obtain a mixed fluid-diffusion limit for the playback buffer queueing system. Then we derive the approximated video streaming performance using the mixed fluid-diffusion limit. Based on the performance analysis, we formulate the joint optimization of cache control and playback buffer management as a stochastic optimization problem. Then we derive a closed form solution for the playback buffer thresholds and develop a stochastic subgradient algorithm to find the optimal cache control. The analysis shows that the video streaming performance improves linearly with the BS cache size BC, the transmit power cost decreases exponentially with BC, and the backhaul cost decreases linearly with BC.
机译:我们提出了一种新颖的MIMO协作框架,称为超高速缓存诱导的机会合作MIMO(Coop-MIMO),用于回程受限多小区MIMO网络中的视频流。通过缓存一部分视频文件,基站(BS)会适时采用Coop-MIMO传输来实现MIMO协作增益,而无需进行昂贵的有效负载回程。我们推导了针对缓存诱发的机会性Coop-MIMO的各种视频流性能指标的闭式表达式,并研究了BS级缓存和关键系统参数对性能的影响。具体来说,我们首先获得回放缓冲区排队系统的混合流体扩散极限。然后,我们使用混合流体扩散极限来推导近似的视频流性能。基于性能分析,我们将缓存控制和回放缓冲区管理的联合优化公式化为随机优化问题。然后,我们针对回放缓冲区阈值导出了一种封闭形式的解决方案,并开发了一种随机次梯度算法来找到最佳的缓存控制。分析表明,视频流性能随BS缓存大小BC线性提高,发射功率成本随BC呈指数下降,而回程成本随BC线性下降。

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