Go with the flow Vivo, Brazil Success story challenge Improve - PowerPoint PPT Presentation

Dec 02, 2023 •113 likes •177 views

Go with the flow Vivo, Brazil Success story challenge Improve user perception Optimize network resources and efficiency Enhance network quality We trust Ericssons knowledge of network optimization, their international

Go with the flow Vivo, Brazil Success story
challenge › Improve user perception › Optimize network resources and efficiency › Enhance network quality We trust Ericsson’s knowledge of network optimization, their international expertise, and the ability they have to collect best practices from all over the world.” José Pedro Nascimento, Networks VP, Vivo Vivo Brazil Success Story | 2016-02-09 | Page 2
solution › Ericsson’s WCDMA Flow of Users solution We decided to apply WCDMA Flow of Users solution due to a large number of users. The network needed to be modernized and we needed to address bottlenecks in the network.” Patricia Resende, Network Quality Manager, Vivo Vivo Brazil Success Story | 2016-02-09 | Page 3 Vivo Brazil Success Story | 2016-02-09 | Page 3
result › 3 times higher uplink throughput › 2 times higher downlink throughput › 30 percent reduction in dropped call rate › Better user experience This experience with Ericsson was great. It was possible to discuss and identify the best configuration of access network in order to improve the user experience.” Aluízio Rangel Baêta Neves, Radio Frequency Engineering Manager, Vivo Vivo Brazil Success Story | 2016-02-09 | Page 4
ERICSSON WCDMA FLOW OF USERS Improved network performance – enhanced user experience CONTROL ACCELERATE ARRIVAL RATE DEPARTURE RATE Vivo Brazil Success Story | 2016-02-09 | Page 5

Recommend

Flow Networks Flow Network: - digraph - weights, called capacities on edges - two

M AXIMUM F LOW How to do it... Why you want it... Where you find it... The Tao of Flow: Let your body go with the flow. -Madonna, Vogue Maximum flow...because youre worth it. -Loreal Go with the flow, Joe.

619 views • 20 slides

Potential Flow & Flow Nets Potential Flow Irrotational flow for which implies:

Potential Flow & Flow Nets Potential Flow Irrotational flow for which implies: This allows you to decompose velocity into a scalar potential such that: Combined with conservation of mass (continuity) and incompressibility you

110 views • 7 slides

Flow Visualization Overview: Flow Visualization (1) Introduction, overview Flow data Simulation

Flow Visualization Overview: Flow Visualization (1) Introduction, overview Flow data Simulation vs. measurement vs. modelling 2D vs. surfaces vs. 3D Steady vs time-dependent flow Direct vs. indirect flow visualization Experimental flow

1.18k views • 92 slides

Flow Visualization Overview: Flow Visualization (1) Introduction, overview Fl Flow data d t

Flow Visualization Overview: Flow Visualization (1) Introduction, overview Fl Flow data d t Simulation vs. measurement vs. modelling 2D vs. surfaces vs. 3D Steady vs time-dependent flow St d ti d d t fl Direct vs. indirect flow

957 views • 92 slides

1 What Is Control-Flow Analysis? Loop Concepts Control-flow analysis discovers the flow of

Control-Flow Analysis and Loop Detection Context Last time Data-flow Speeding up data-flow analysis Flow of data values from defs to uses Could alternatively be represented as a data dependence Today Control-flow analysis

516 views • 5 slides

Max flow and min cost max flow Han Hoogeveen May 23, 2014 Basic problem description Given:

Max flow and min cost max flow Han Hoogeveen May 23, 2014 Basic problem description Given: directed graph G = ( V, A ) with special vertices s and t . The goal is to find a flow x from s (source) to t (sink) of maximum size. The flow x

247 views • 11 slides

CS 401 Max Flow / Bipartite Matching Xiaorui Sun 1 Flow network Flow network. G = (V, E) =

CS 401 Max Flow / Bipartite Matching Xiaorui Sun 1 Flow network Flow network. G = (V, E) = directed graph, no parallel edges. Two distinguished nodes: s = source, t = sink. c(e) = capacity of edge e. 9 2 5 10 15 15 10 4 source 5

1.01k views • 21 slides

Review. Ford-Fulkerson algorithm for max-flow: repeatedly augment flow along paths in the

Review. Ford-Fulkerson algorithm for max-flow: repeatedly augment flow along paths in the residual graph If capacities are integers, F-F finds an integer valued flow Running time: O((m+n)OPT), where OPT is the value of the max flow

836 views • 30 slides

Flow Analysis Data-flow analysis, Control-flow analysis, Abstract interpretation, AAM Helpful

Flow Analysis Data-flow analysis, Control-flow analysis, Abstract interpretation, AAM Helpful Reading: Sections 1.1-1.5, 2.1 Data-flow analysis (DFA) A framework for statically proving facts about program data. Focuses on simple, finite

1.04k views • 54 slides

Network Flow CS31005: Algorithms-II Autumn 2020 IIT Kharagpur Network Flow Models the flow

Network Flow CS31005: Algorithms-II Autumn 2020 IIT Kharagpur Network Flow Models the flow of items through a network Example Transporting goods through the road/rail/air network Flow of fluids (oil, water,..) through pumping

949 views • 84 slides

Cytometry Flow Cytometry Flow Cytometry is the technological process that allows for the

Basic Principles in Flow Cytometry Flow Cytometry Flow Cytometry is the technological process that allows for the individual measurements of cell fluorescence and light scattering. This process is performed at rates of thousands of cells

214 views • 20 slides

Engineering Economics 4-1 Cash Flow Cash flow is the sum of money recorded as receipts or

Engineering Economics 4-1 Cash Flow Cash flow is the sum of money recorded as receipts or disbursements in a projects financial records. A cash flow diagram presents the flow of cash as arrows on a time line scaled to the magnitude of the

383 views • 34 slides

Review Network flow definitions CSE 421 Flow examples Augmenting Paths Algorithms

Review Network flow definitions CSE 421 Flow examples Augmenting Paths Algorithms g Residual Graph Richard Anderson Ford Fulkerson Algorithm Lecture 22 Cuts Network Flow Maxflow-MinCut Theorem Network Flow

860 views • 4 slides

Flow networks, flow, maximum flow Can interpret directed graph as flow network. Material

Flow networks, flow, maximum flow Can interpret directed graph as flow network. Material courses through some system from some source to some sink. Source produces material at some steady rate, sink consumes at same rate. Examples:

570 views • 37 slides

Traffic Flow Characteristics and Theory Primary Elements of Traffic Flow a. Flow Rate = q

Traffic Flow Characteristics and Theory Primary Elements of Traffic Flow a. Flow Rate = q (vehicle per hour, vph) b. Density = k (vehicle per mile, vpm) c. Speed = u (mile per hour, mph) 2 Dr. Randa Oqab Mujalli Flow Flow (q) : is the

943 views • 20 slides

Flow networks 2 5 1 How much flow can we push 4 7 through from s to t ? 3 2 (Numbers are

Flow networks 2 5 1 How much flow can we push 4 7 through from s to t ? 3 2 (Numbers are capacities.) 5 2 Flow networks 5 1 s 4 7 t 3 2 5 Def: A flow network is a directed graph G=(V,E) where edges have capacities c:E->R +

335 views • 29 slides

Network Flow 5 Network Flow terminology Network flow is similar to finding how much water we

1 Network Flow 5 Network Flow terminology Network flow is similar to finding how much water we can bring from a source to a sink (infinite) (intermediates cannot hold water) 6 Network Flow terminology Definitions: c(u,v)

576 views • 34 slides

CS 401 Max Flow Xiaorui Sun 1 Stuff Homework 3 due today Homework 4 will be out soon Flow

CS 401 Max Flow Xiaorui Sun 1 Stuff Homework 3 due today Homework 4 will be out soon Flow network Flow network. G = (V, E) = directed graph, no parallel edges. Two distinguished nodes: s = source, t = sink. c(e) = capacity of edge e. 9

683 views • 37 slides

Flow and Congestion Control CS 218 F2003 Oct 29, 03 Flow control goals Classification

Flow and Congestion Control CS 218 F2003 Oct 29, 03 Flow control goals Classification and overview of main techniques TCP Tahoe, Reno, Vegas TCP Westwood Readings: (1) Keshavs book Chapter on Flow Control; (2)

374 views • 22 slides

Flow solutions for LNG metering Helene Casellas Business Development Manager Oil & Gas Flow

Flow solutions for LNG metering Helene Casellas Business Development Manager Oil & Gas Flow Europe Emerson Process Management Core Offering & Key Flow Brands Taking on the industrys toughest challenges, and bringing predictable

417 views • 15 slides

Network Flow II 2 Every edge e has a capacity c(e) 0. Flow: 1 Inge Li Grtz

Network Flow 1 Network flow: 2 graph G=(V,E). 2 2 s 1 t Special vertices s (source) and t (sink). 2 2 Network Flow II 2 Every edge e has a capacity c(e) 0. Flow: 1 Inge Li Grtz capacity constraint: every

503 views • 15 slides

Steady Flow: Lid-Driven Cavity Flow This tutorial demonstrates the performance of STAR-CCM+ in

STAR-CCM+ User Guide Steady Flow: Lid-Driven Cavity Flow 2 Steady Flow: Lid-Driven Cavity Flow This tutorial demonstrates the performance of STAR-CCM+ in solving a traditional square lid-driven cavity flow. The problem geometry consists of a

334 views • 18 slides

Generalized Flow-Cut Dualities Sanjeevi Krishnan (Upenn) Bremen 2013 MAX FLOW = MIN CUT The

Generalized Flow-Cut Dualities Sanjeevi Krishnan (Upenn) Bremen 2013 MAX FLOW = MIN CUT The setting is a weighted digraph G with distinguished start and end points a,b. MAX FLOW = MIN CUT Flows = integral 1-cycles whose coefficients are

380 views • 21 slides

Control flow Conditionals and Control Flow l A conditional branch

10/2/15 Control flow Conditionals and Control Flow l A conditional branch is sufficient to implement most control Condition codes flow constructs offered in higher

356 views • 12 slides