936 research outputs found
Modeling and Analysis of MPTCP Proxy-based LTE-WLAN Path Aggregation
Long Term Evolution (LTE)-Wireless Local Area Network (WLAN) Path Aggregation
(LWPA) based on Multi-path Transmission Control Protocol (MPTCP) has been under
standardization procedure as a promising and cost-efficient solution to boost
Downlink (DL) data rate and handle the rapidly increasing data traffic. This
paper aims at providing tractable analysis for the DL performance evaluation of
large-scale LWPA networks with the help of tools from stochastic geometry. We
consider a simple yet practical model to determine under which conditions a
native WLAN Access Point (AP) will work under LWPA mode to help increasing the
received data rate. Using stochastic spatial models for the distribution of
WLAN APs and LTE Base Stations (BSs), we analyze the density of active
LWPA-mode WiFi APs in the considered network model, which further leads to
closed-form expressions on the DL data rate and area spectral efficiency (ASE)
improvement. Our numerical results illustrate the impact of different network
parameters on the performance of LWPA networks, which can be useful for further
performance optimization.Comment: IEEE GLOBECOM 201
Largest parallelotopes contained in simplices
AbstractWe establish in this paper a theorem for the volume of the largest parallelotope contained in a given simplex. Applying this theorem, we prove some inequalities for unions of parallelotopes in a given simplex and some spanning theorems for inscribed simplices
Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths
The objective of Entity Alignment (EA) is to identify equivalent entity pairs
from multiple Knowledge Graphs (KGs) and create a more comprehensive and
unified KG. The majority of EA methods have primarily focused on the structural
modality of KGs, lacking exploration of multi-modal information. A few
multi-modal EA methods have made good attempts in this field. Still, they have
two shortcomings: (1) inconsistent and inefficient modality modeling that
designs complex and distinct models for each modality; (2) ineffective modality
fusion due to the heterogeneous nature of modalities in EA. To tackle these
challenges, we propose PathFusion, consisting of two main components: (1) MSP,
a unified modeling approach that simplifies the alignment process by
constructing paths connecting entities and modality nodes to represent multiple
modalities; (2) IRF, an iterative fusion method that effectively combines
information from different modalities using the path as an information carrier.
Experimental results on real-world datasets demonstrate the superiority of
PathFusion over state-of-the-art methods, with 22.4%-28.9% absolute improvement
on Hits@1, and 0.194-0.245 absolute improvement on MRR
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