The rate satisfaction of government and corporate customers,to which telecom companies pay special attention,is an important part of the overall satisfaction of the market segment.Focusing on specialline products and ...The rate satisfaction of government and corporate customers,to which telecom companies pay special attention,is an important part of the overall satisfaction of the market segment.Focusing on specialline products and based on interview with experts and literature review,this article builds an effect model comprising four factors affecting the major government and corporate customers' satisfaction with the rate,including cost performance,discount degree,rate communication and bill composition.Besides,employing AMOS and other analytical tools,it reveals significant positive effects of the aforementioned four factors on the customer's rate satisfaction,and arranges them in sequence according to the path coefficient of each influence.Based on quantified results,this article proposes management recommendations to improve the rate satisfaction,providing basis for research on the overall rate satisfaction optimization of government and corporate customers.展开更多
目前基于无线设备的室内指纹定位技术因为其设备普及且定位准确而受到人们的广泛关注。针对传统室内指纹定位方式中定位阶段特征匹配时没有考虑当前环境相对于基准环境的变化因素这一不足,提出了一个基于CSI(Channel State Information...目前基于无线设备的室内指纹定位技术因为其设备普及且定位准确而受到人们的广泛关注。针对传统室内指纹定位方式中定位阶段特征匹配时没有考虑当前环境相对于基准环境的变化因素这一不足,提出了一个基于CSI(Channel State Information)的自适应修正模型定位算法。该算法通过引入一个衡量当前室内环境变化的指标PEM(Percentage of nonzero Elements)来表示室内人数增加时子载波波动程度的变化;同时又通过设计一个新的修正匹配模型来补偿因多径造成的指纹特征的衰减。实验结果充分证明了该定位方案相比于之前的指纹定位系统FIFS和CSI-MIMO,准确率分别提高了30%和15%。展开更多
It is extensively approved that Channel State Information(CSI) plays an important role for synergetic transmission and interference management. However, pilot overhead to obtain CSI with enough precision is a signific...It is extensively approved that Channel State Information(CSI) plays an important role for synergetic transmission and interference management. However, pilot overhead to obtain CSI with enough precision is a significant issue for wireless communication networks with massive antennas and ultra-dense cell. This paper proposes a learning- based channel model, which can estimate, refine, and manage CSI for a synergetic transmission system. It decomposes the channel impulse response into multiple paths, and uses a learning-based algorithm to estimate paths' parameters without notable degradation caused by sparse pilots. Both indoor measurement and outdoor measurement are conducted to verify the feasibility of the proposed channel model preliminarily.展开更多
文摘The rate satisfaction of government and corporate customers,to which telecom companies pay special attention,is an important part of the overall satisfaction of the market segment.Focusing on specialline products and based on interview with experts and literature review,this article builds an effect model comprising four factors affecting the major government and corporate customers' satisfaction with the rate,including cost performance,discount degree,rate communication and bill composition.Besides,employing AMOS and other analytical tools,it reveals significant positive effects of the aforementioned four factors on the customer's rate satisfaction,and arranges them in sequence according to the path coefficient of each influence.Based on quantified results,this article proposes management recommendations to improve the rate satisfaction,providing basis for research on the overall rate satisfaction optimization of government and corporate customers.
文摘目前基于无线设备的室内指纹定位技术因为其设备普及且定位准确而受到人们的广泛关注。针对传统室内指纹定位方式中定位阶段特征匹配时没有考虑当前环境相对于基准环境的变化因素这一不足,提出了一个基于CSI(Channel State Information)的自适应修正模型定位算法。该算法通过引入一个衡量当前室内环境变化的指标PEM(Percentage of nonzero Elements)来表示室内人数增加时子载波波动程度的变化;同时又通过设计一个新的修正匹配模型来补偿因多径造成的指纹特征的衰减。实验结果充分证明了该定位方案相比于之前的指纹定位系统FIFS和CSI-MIMO,准确率分别提高了30%和15%。
基金supported by National Basic Research Program of China (NO 2012CB316002)China’s 863 Project (NO 2014AA01A703)+2 种基金National Major Projec (NO. 2014ZX03003002-002)Program for New Century Excellent Talents in University (NCET-13-0321)Tsinghua University Initiative Scientific Research Program (2011THZ02-2)
文摘It is extensively approved that Channel State Information(CSI) plays an important role for synergetic transmission and interference management. However, pilot overhead to obtain CSI with enough precision is a significant issue for wireless communication networks with massive antennas and ultra-dense cell. This paper proposes a learning- based channel model, which can estimate, refine, and manage CSI for a synergetic transmission system. It decomposes the channel impulse response into multiple paths, and uses a learning-based algorithm to estimate paths' parameters without notable degradation caused by sparse pilots. Both indoor measurement and outdoor measurement are conducted to verify the feasibility of the proposed channel model preliminarily.
