The IEEE Global Conference on Signal and Information Processing (GlobalSIP) is a flagship conference of the IEEE Signal Processing Society. GlobalSIP'15 will be held in Orlando, Florida, USA, December 14-16, 2015. The conference will focus on signal and information processing with an emphasis on up-and-coming signal processing themes. The conference will feature world-class speakers, tutorials, exhibits, and sessions consisting of poster or oral presentations. Outstanding papers will be selected for Best Paper Awards or Best Student Paper Awards; a paper is eligible for a best student paper award if the first author of the paper is a student. IEEE Signal Processing Society and National Science Foundation will provide travel grants to eligible students.
- Read more about Iterative Optimization for Max-Min SINR in Dense Small-Cell Multiuser MISO SWIPT System
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Considering a dense small-cell network with simultaneous wireless information and power transfer (SWIPT), this work jointly designs transmit beamformers at the base stations (BSs) and receive power splitting ratios at the users (UEs). Our objectives is to maximize the minimum UE signal-to-interference-plus-noise-ratio (SINR) under BS transmit power and UE minimum harvested energy constraints. This problem is highly nonconvex, for which semidefinite programming (SDP) relaxation may even fail to locate a feasible solution.
GSIP_v1.pdf
GSIP_v1.pdf (629) - Categories:
31 Views- Read more about Nonsmooth Optimization for Optimal Power Flow over Transmission Networks
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2 Views- Read more about Nonsmooth Optimization for Optimal Power Flow over Transmission Networks
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5 Views- Read more about Deep Learning in Exploring Semantic Relatedness for Microblog Dimensionality Reduction_PPT
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2 Views- Read more about Low-Complexity MIMO Detector with 1024-QAM
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8 Views- Read more about Unsupervised Image Segmentation using Comparative Reasoning and Random Walks
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- Read more about Contour Based Segmentation of Chromosomes in G-Band Metaphase Images
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19 Views- Read more about A Fast Parallel Matrix Inversion Algorithm based on Heterogeneous Multicore Architectures
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2 Views- Read more about Determining a Device Crossover Point in CPU/GPU Systems for Streaming Applications
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- Read more about Artificial-Noise Aided Transmit Design for Multi-User MISO Systems with Integrated Services
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This paper considers an optimal artificial noise (AN)-aided transmit design for multi-user MISO systems in the eyes of service integration. Specifically, we combine two sorts of services, and serve them simultaneously: one multicast message intended for all receivers and one confidential message intended for only one receiver. The confidential message is kept perfectly secure from all the unauthorized receivers.
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