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书目名称Sparse Signal Processing for Massive MIMO Communications影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0873414<br><br> <br><br>书目名称Sparse Signal Processing for Massive MIMO Communications影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0873414<br><br> <br><br>书目名称Sparse Signal Processing for Massive MIMO Communications网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0873414<br><br> <br><br>书目名称Sparse Signal Processing for Massive MIMO Communications网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0873414<br><br> <br><br>书目名称Sparse Signal Processing for Massive MIMO Communications被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0873414<br><br> <br><br>书目名称Sparse Signal Processing for Massive MIMO Communications被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0873414<br><br> <br><br>书目名称Sparse Signal Processing for Massive MIMO Communications年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0873414<br><br> <br><br>书目名称Sparse Signal Processing for Massive MIMO Communications年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0873414<br><br> <br><br>书目名称Sparse Signal Processing for Massive MIMO Communications读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0873414<br><br> <br><br>书目名称Sparse Signal Processing for Massive MIMO Communications读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0873414<br><br> <br><br>Militia 发表于 2025-3-21 20:18:08
Book 2024increasing rapidly for years, extremely high-dimensional channel matrix and massive user access urge for algorithms with much higher efficiency. This book provides in-depth discussions on compressive sensing techniques and simulates the performance on wireless systems. The easy-to-understand instrucBARGE 发表于 2025-3-22 01:07:38
formance on wireless systems. The easy-to-understand instructions with detailed simulations and open-sourced codes provide convenience for readers such as researchers, engineers, and graduate students in the fields of wireless communications.978-981-99-5396-7978-981-99-5394-3Directed 发表于 2025-3-22 06:04:25
Subspace-Based Super-Resolution Sparse Channel Estimation in MIMO-OFDM Systems,ral channel correlation leads to the relatively unchanged sparsity pattern during several OFDM symbols. Taking advantage of these characteristics, the considered scheme outperforms existing state-of-the-art methods, and reduces the pilot overhead through joint signal processing across different antennas.Bereavement 发表于 2025-3-22 12:13:57
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Compressive Sensing CSI Acquisition and Feedback in FDD Massive MIMO Systems,e training overhead and pilot design, aiming at accurately estimating and feeding back the downlink CSI with significantly reduced overhead. In particular, a compressive sensing based adaptive CSI acquisition scheme is introduced by exploiting the spatially common sparsity of massive MIMO channels,耐寒 发表于 2025-3-23 09:26:56
Compressive Sensing Sparse Channel Estimation in Broadband Millimeter-Wave Massive MIMO Systems,ness, which leads to challenges in channel estimation (CE). Simultaneously, the frequency-selective fading (FSF) characteristic of practical mmWave channels cannot be ignored. Therefore, this chapter introduces a multi-user uplink CE scheme tailored for mmWave massive MIMO systems considering FSF ch