78 research outputs found

    Hessian and concavity of mutual information, differential entropy, and entropy power in linear vector Gaussian channels

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    Within the framework of linear vector Gaussian channels with arbitrary signaling, closed-form expressions for the Jacobian of the minimum mean square error and Fisher information matrices with respect to arbitrary parameters of the system are calculated in this paper. Capitalizing on prior research where the minimum mean square error and Fisher information matrices were linked to information-theoretic quantities through differentiation, closed-form expressions for the Hessian of the mutual information and the differential entropy are derived. These expressions are then used to assess the concavity properties of mutual information and differential entropy under different channel conditions and also to derive a multivariate version of the entropy power inequality due to Costa.Comment: 33 pages, 2 figures. A shorter version of this paper is to appear in IEEE Transactions on Information Theor

    Performance comparison between FBMC and OFDM in MIMO systems under channel uncertainty

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    Postprint (published version

    Intent-Based Orchestration for Application Relocation in a 5G Cloud-native Platform

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    The need of mobile network operators for cost-effectiveness is driving 5G and beyond networks towards highly flexible and agile deployments to adapt to dynamic and resource-constrained scenarios while meeting a myriad of user network stakeholders' requirements. In this setting, we consider that zero-touch orchestration schemes based on cloud-native deployments equipped with end-to-end monitoring capabilities provide the necessary technology mix to be a solution candidate. This demonstration, built on top of an end-to-end cloud-native 5G experimental platform with over-the-air transmissions, shows how dynamic orchestration can relocate container-based end-user applications to fulfil intent-based requirements. Accordingly, we provide an experimental validation to showcase how the platform enables the desired flexible and agile 5G deployments

    Multi-Administrative Domain Service Onboarding in a ZSM-Based Orchestration Architecture

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    The automation and flexibility introduced in the management and orchestration of B5G/6G mobile networks are allowing the creation of innovative vertical use cases considering the coordination of multiple provider domains owned by different operators and/or service providers. The first step to enable this automation is the onboarding of network service artefacts prior to enabling its instantiation in such challenging scenarios. This demonstration focuses on the automatic onboarding operation in a multi-administrative domain scenario. We propose a cloudnative solution deployed at each administrative domain made of an artefact registry management system coupled with an Integration Fabric element following ETSI ZSM guidelines. These elements synchronize between them autonomously and with the associated ETSI NFV management and orchestration stacks ensuring a consistent catalogue of vertical services at the different administrative domains.This work has received funding from EU Horizon 2020 grant agreements No 951867 (5G-ROUTES), from Spanish MINECO grants TSI-063000-2021-56/TSI-063000-2021-57 (6G-BLUR) and Grant PID2021-126431OBI00 funded by MCIN/AEI/10.13039/501100011033 and by "ERDF A way of making Europe" and Generalitat de Catalunya grant 2021 SGR 00770. © 2023, 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 work

    Performance of Waterfilling-based Schemes for Interference Cancellation in 4G Networks

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    The proceeding at: 3rd International Workshop on Cognitive Information Processing (CIP 2012), took place 2012, May 28-30, in Baiona, España. The event Web site at http://cip2012.tsc.uc3m.es/In this work we consider the optimization of the power assigned to the user streams in a coordinated base station downlink environment with Orthogonal Frequency Division Modulation (OFDM). In this scenario the base stations perform distributed cooperative processing with a block diagonalization scheme to remove interference among users. Two schemes based on the waterfilling technique are proposed and compared to the optimal solution, which can be obtained numerically, by using convex optimization. We show that the proposed schemes achieve a performance, in terms of weighted sum rate, very close to the optimal, without the heavy computational complexity required by the numerical solution. These sum rates are compared in a simplified scenario consisting of two-user and two-cell. Other more realistic multicell scenario and some examples of achievable rates are presented too.The research leading to these results has received funding from the Spanish Government under coordinated projects TEC2008-06327-C03-01/02/03 (MULTI-ADAPTIVE) and TEC2011-29006-C03-01/02/03 (GRE3N) and from EU FP7 project INFSO-ICT-247223 ARTIST 4G.Publicad

    Flexible MIMO architectures: guidelines in the design of MIMO parameters

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    One of the multiple advantages of communicating through MIMO systems is their inherent ability to provide flexible configurations. Following this line of thought, in this paper we present a generic framework to study the degrees of freedom in the design of MIMQ communication systems (e.g.: code length, number of multiplexed streams, or receiver structure). Precisely, we focus our efforts to bridge the gap between the design of MIMO systems with full and no channel state information at the transmitter side and also with different complexiry degrees at ihe receiver side. For instance, we can establish a trade-off, not only between the achievable rates and the diversity or beamforming gains, but also between the rate and the robustness to uncertainties in the channel state information.Postprint (published version
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