3 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
Interference mitigation under degrees-of-freedom sensing uncertainties in opportunistic transmission
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Inter-system interference may limit the performance of co-existing systems in dense heterogeneous wireless networks. Context-aware waveform design can profitably overcome this limitation. However, the latter substantially depends on degrees-of-freedom (DoF) sensing mechanisms. In this work, we show that total least-squares (TLS)-based waveform design is robust against sensing uncertainties. Given the equivalence of minimum norm and TLS, the latter exhibits the good properties of linear predictors, which are of paramount importance to guarantee minimum inter-system interference and detectability by neighboring nodes. Additionally, since derived solution relies on orthogonal projector onto the so- called noise subspace, we can efficiently and iteratively construct an orthogonal waveform-book enabling the presented transmission scheme in multi-carrier scenarios. Simulation results are presented to support our theoretical contributions, and to highlight any potential advantage of proposed solution in crowded heterogenous wireless networks.This work has been supported by the Spanish Ministry of Science, Innovation and Universities through project WINTER: TEC2016-76409-C2-1-R (AEI/FEDER, UE) and fellowship FPI BES-2017-080071, and by the Catalan Government (AGAUR) under grant 2017 SGR 578.Peer ReviewedPostprint (published version
Cyber-physical interdependent restoration scheduling for active distribution network via ad hoc wireless communication
This paper proposes a post-disaster cyber-physical interdependent restoration
scheduling (CPIRS) framework for active distribution networks (ADN) where the
simultaneous damages on cyber and physical networks are considered. The ad hoc
wireless device-to-device (D2D) communication is leveraged, for the first time,
to establish cyber networks instantly after the disaster to support ADN
restoration. The repair and operation crew dispatching, the remote-controlled
network reconfiguration and the system operation with DERs can be effectively
coordinated under the cyber-physical interactions. The uncertain outputs of
renewable energy resources (RESs) are represented by budget-constrained
polyhedral uncertainty sets. Through implementing linearization techniques on
disjunctive expressions, a monolithic mixed-integer linear programming (MILP)
based two-stage robust optimization model is formulated and subsequently solved
by a customized column-and-constraint generation (C&CG) algorithm. Numerical
results on the IEEE 123-node distribution system demonstrate the effectiveness
and superiorities of the proposed CPIRS method for ADN