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Low Complexity Remote Radio Unit Selection and Adaptive Bit Partition Algorithm in Cooperative Distributed MIMO Systems
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作者 Gui Xin kang guixia Zhang Ping 《China Communications》 SCIE CSCD 2012年第11期1-8,共8页
For multi-user cooperative Distributed MIMO (D-MIMO) systems, a low-complexity Remote Radio Unit (RRU) selection and adaptive bit partition algorithm is proposed to maximize the transmission Signal-to-Interference-Noi... For multi-user cooperative Distributed MIMO (D-MIMO) systems, a low-complexity Remote Radio Unit (RRU) selection and adaptive bit partition algorithm is proposed to maximize the transmission Signal-to-Interference-Noise Ratio (SINR). Considering limited feedback, each user can adaptively select an RRU cluster to maintain the best communication quality. Under this condition, only one codebook is utilized for quantizing the Channel State Information (CSI) with variable dimensions, which effectively reduces the codebook storage amount. Furthermore, we propose an adaptive bit partition algorithm, which separately allocates bits to quantize the desired channels and interference channels. The optimal solution is achieved through an optimization theory to minimize the effect of inter-cell interference. Simulation results show that the proposed algorithm substantially improves the performance compared to other non-adaptive schemes. 展开更多
关键词 D-MIMO system low-complexity RRU selection adaptive bit partition limited feedback
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Energy Efficiency for NPUSCH in NB-IoT with Guard Band
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作者 ZHANG Shuang ZHANG Ningbo kang guixia 《ZTE Communications》 2018年第4期46-51,共6页
Narrowband Internet of Things(NB-IoT)has been proposed to support deep coverage(in building)and extended geographic coverage of IoT.In this paper,a power control scheme for maximizing energy efficiency(EE)of narrowban... Narrowband Internet of Things(NB-IoT)has been proposed to support deep coverage(in building)and extended geographic coverage of IoT.In this paper,a power control scheme for maximizing energy efficiency(EE)of narrowband physical uplink shared channel(NPUSCH)with the guard band is proposed.First,we form the optimization problem based on the signal model with the interferences of narrowband physical random access channel(NPRACH)which are caused by the non-orthogonality of NPUSCH and NPRACH.Then,a method of reserving guard bands is proposed to reduce these interferences.Based on it,an efficient iterative power control algorithm is derived to solve the optimization problem,which adopts fractional programming.Numerical simulation results show that NPUSCH with the guard band has better performance in EE than that without the guard band. 展开更多
关键词 NB-IoT energy efficiency NPUSCH NPRACH INTERFERENCE guard band
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一种放射组学分析的海马硬化自动诊断方法
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作者 欧阳莫微 康桂霞 +1 位作者 王开亮 王亚明 《北京邮电大学学报》 EI CAS CSCD 北大核心 2022年第4期51-57,共7页
为深入挖掘具有海马硬化病变表征能力的放射组学特征,提升海马硬化检测的精度,提出了一种结合放射组学分析的自动诊断方法,通过将放射组学特征与小波变换、高斯拉普拉斯算子滤波算法相结合,提取不同滤波图像中海马体感兴趣区域的放射组... 为深入挖掘具有海马硬化病变表征能力的放射组学特征,提升海马硬化检测的精度,提出了一种结合放射组学分析的自动诊断方法,通过将放射组学特征与小波变换、高斯拉普拉斯算子滤波算法相结合,提取不同滤波图像中海马体感兴趣区域的放射组学特征并用于识别海马硬化,挖掘敏感度较高的放射组学特征。首先对受试样本的T1图像进行预处理和多种滤波处理,基于原始图像和滤波图像提取放射组学特征;然后依次使用双样本T检验、特征相关性分析法对放射组学特征降维;最后利用这些特征构建海马硬化的检测模型。实验结果显示,基于放射组学特征构建的海马硬化检测模型可以有效地辅助识别海马硬化病灶;用基于小波变换的方法提取放射组学特征能够使自动诊断模型的检测效果最优,在实际数据集上硬化海马的检出率可达到97.7%。 展开更多
关键词 放射组学 海马硬化 机器学习 小波变换
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