Wireless and Mobile Communications

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Credits
6
Types
Specialization complementary (Information Technologies)
Requirements
  • Prerequisite: XC
Department
AC
The course covers different aspects related to the Mobile Internet and the Internet of Things, such as the possibilities and limitations of technologies associated with radio transmission, cellular networks, Wi-Fi networks, and low-power communication technologies (RFID, NFC, BLE, IEEE 802.15.4, LoraWAN, NBIoT) and associated protocols (Thread, Coap, MQTT). Also the signal processing of sensors embedded in mobile phones (accelerometer, magnetometer, gyroscope, cameras, microphones) and the integration of AI technologies to mobile networks and devices (6G, mobile assistants, voice recognition, etc). The case sessions deal with aspects that are not purely technological, but that are important to understand the evolution and possibilities of the mobile Internet, such as the value chain, ecosystem, application markets, business models, etc.

Teachers

Person in charge

  • Jorge García Vidal ( )

Weekly hours

Theory
3
Problems
0
Laboratory
1
Guided learning
0
Autonomous learning
6

Competences

Technical Competences of each Specialization

Information technology specialization

  • CTI1 - To define, plan and manage the installation of the ICT infrastructure of the organization.
    • CTI1.1 - To demonstrate understanding the environment of an organization and its needs in the field of the information and communication technologies.
    • CTI1.2 - To select, design, deploy, integrate and manage communication networks and infrastructures in a organization.
    • CTI1.3 - To select, deploy, integrate and manage information system which satisfy the organization needs with the identified cost and quality criteria.
    • CTI1.4 - To select, design, deploy, integrate, evaluate, build, manage, exploit and maintain the hardware, software and network technologies, according to the adequate cost and quality parameters.
  • CTI2 - To guarantee that the ICT systems of an organization operate adequately, are secure and adequately installed, documented, personalized, maintained, updated and substituted, and the people of the organization receive a correct ICT support.
    • CTI2.1 - To manage, plan and coordinate the management of the computers infrastructure: hardware, software, networks and communications.
  • CTI3 - To design solutions which integrate hardware, software and communication technologies (and capacity to develop specific solutions of systems software) for distributed systems and ubiquitous computation devices.
    • CTI3.1 - To conceive systems, applications and services based on network technologies, taking into account Internet, web, electronic commerce, multimedia, interactive services and ubiquitous computation.
    • CTI3.2 - To implement and manage ubiquitous systems (mobile computing systems).
    • CTI3.4 - To design communications software.

Transversal Competences

Sustainability and social commitment

  • G2 [Avaluable] - To know and understand the complexity of the economic and social phenomena typical of the welfare society. To be capable of analyse and evaluate the social and environmental impact.
    • G2.3 - To take into account the social, economical and environmental dimensions, and the privacy right when applying solutions and carry out project which will be coherent with the human development and sustainability.

Objectives

  1. knowledge of specific problems in the radio transmission
    Related competences: CTI1.2, CTI1.3, CTI1.4, CTI2.1, CTI3.2,
  2. know the technology of wireless networks
    Related competences: CTI1.1, CTI1.2, CTI1.3, CTI1.4, CTI2.1, CTI3.2,
  3. knowing the value chain of mobile Internet
    Related competences: G2.3, CTI1.1,
  4. To know the basic processing techniques for smartphone sensors and integration of AI tools on mobile devices.
    Related competences: G2.3, CTI3.1, CTI3.2, CTI3.4,
  5. understand the business models, development costs, marketing, competition, etc., associated with the development of a mobile application
    Related competences: G2.3,
  6. work together to develop a design work
    Related competences: G2.3,
  7. knowledge on IoT technologies
    Related competences: CTI1.2, CTI1.3, CTI1.4, CTI2.1, CTI3.1, CTI3.2,
  8. known auxiliary technologies: positioning, secure mobile payments, advertising insertion, etc.
    Related competences: CTI1.1, CTI3.1, CTI3.2, CTI3.4,

Contents

  1. The value chain of mobile Internet
    The Mobile Internet Value chain: Contents. On-line services. Distribution networks. Interface with the user. Devices. Applications. Regulation of use of frequencies. Networks with infrastructure and ad hoc networks.
  2. Radio Transmission
    Characteristics of the radio channel. Limitations of power. Limitations on bandwidth. Propagation. Commitments in power, bandwidth and transmission speed. Adaptation speeds. Multiantena systems. Code division multiplexing, time and frequency. Mobiles and health.
  3. Cellular networks
    Regulation of use of frequencies. Networks with infrastructure and ad hoc networks. Mobile operators. Evolution 2G, 2.5G, 3G, 3.5G, 4G i 5G. Architecture of cellular networks. Services and pricing.
  4. WiFi Networks
    IEEE 802.11. CSMA / CA. Different standards of physical (802.11b, 802.11g, 802.11a, 802.11n). Solutions security (WEP, WPA). New standards: 802.11ac, 802.11ah.
  5. IoT technologies
    IoT nodes. RFID, NFC, BLE, 802.15.4, LoraWAN, NBIoT. Thread, CoAP, MQTT.
  6. Sensors and signal processing techniques
    Sensors dels mòbils: aceleròmetres, magnetòmetres, giròscops. Sistemes de coordenades. Descripció de rotacions en 3D (quaternions). Filtres bàsics. Fusió de senyals.
  7. Integration of Artificial Intelligence tools on mobile networks and devices.
    AI integration with 6G networks. Image recognition, NLP, and voice recognition tools for mobile devices.

Activities

Activity Evaluation act


Topic 1

The Mobile Internet before and after the iPhone. Value chain IM: Contents. On-line services. Distribution networks. Interface with the user. Devices. Applications. Networks.
  • Theory: The Mobile Internet before and after the iPhone. Value chain IM: Contents. On-line services. Distribution networks. Interface with the user. Devices. Applications. Networks.
  • Autonomous learning: Study the issues of class
Objectives: 3
Contents:
Theory
3h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
3h

item 2

Characteristics of the radio channel. Limitations of power. Limitations on bandwidth. Propagation. The radio channel capacity. Adaptation speeds. Multiantena systems. Code division multiplexing, time and frequency. Mobiles and health.
  • Theory: Characteristics of the radio channel. Limitations of power. Limitations on bandwidth. Propagation. The radio channel capacity. Adaptation speeds. Multiantena systems. Code division multiplexing, time and frequency.
  • Autonomous learning: Study
Objectives: 1
Contents:
Theory
6h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
18h

item 3

IEEE 802.11. CSMA / CA. Different standards of physical (802.11b, 802.11g, 802.11a). Solutions security (WEP, WPA). New standards: 802.11n, 802.11p, 802.11.
  • Theory: IEEE 802.11. CSMA / CA. Different standards of physical (802.11b, 802.11g, 802.11a). Solutions security (WEP, WPA). New standards: 802.11n, 802.11p, 802.11.
  • Autonomous learning: study
Objectives: 2
Contents:
Theory
6h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
6h

Use case: Mobile Application Design

The goal is to design a mobile application. You can choose an application. It will analyze the applications available on Apple App Store or Android Market with similar characteristics, comparing our implementation with the competition. We will choose a business model (ie, how will money with this application), marketing, etc.. We will design the application (graphics, functionality, etc.). On a voluntary basis can we deploy the application for Android OS and IOS. In this case you can publish the application for the market.
  • Laboratory: classes based on case
  • Autonomous learning: design of the application
Objectives: 3 4 5
Theory
0h
Problems
0h
Laboratory
9h
Guided learning
0h
Autonomous learning
11h

item 4

Mobile operators. Evolution 2G, 2.5G, 3G, 3.5G and 4G. Architecture of cellular networks. Services and pricing.
  • Theory: Regulation of use of frequencies. Networks with infrastructure and ad hoc networks. Mobile operators. Evolution 2G, 2.5G, 3G, 3.5G and 4G. Architecture of cellular networks. Services and pricing.
  • Autonomous learning: Study
Objectives: 2
Contents:
Theory
6h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
15h

Partial Review

Exam topics 1-3
Objectives: 1 2 3
Week: 7
Theory
1h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
5h

item 5

Bluetooth. Zigbee. RFID and NFC. Mesh Networks and adhoc networks. Sensor networks. 6LowPAN and CoAP.
  • Theory: Bluetooth. Zigbee. RFID and NFC. WiMAX. Communication by Satellite. Mesh Networks and adhoc networks. Sensor networks.
  • Autonomous learning: Study
Objectives: 7
Theory
6h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
6h

item 6

Type of mobility. Support for mobility level 3 (IP phone). Support for mobility in cellular networks. Nomadic mobility. Protocols to support mobility transparent to Level 2.
  • Theory: Type of mobility. Support for mobility level 3 (IP phone). Support for mobility in cellular networks. Nomadic mobility. Protocols to support mobility transparent to Level 2.
  • Autonomous learning: study
Objectives: 2
Contents:
Theory
4h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
5h

item 7

Positioning techniques and Location Based Services (LBS). Secure Payment. Mobile Advertising.
  • Theory: Positioning techniques and Location Based Services (LBS). Secure Payment. Mobile Advertising.
Objectives: 8
Contents:
Theory
4h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
5h

item 8

Sensors. Signal processing
  • Theory: Operating systems for mobile devices. Market applications. Major categories of applications.
  • Autonomous learning: study
Objectives: 4
Theory
3h
Problems
0h
Laboratory
6h
Guided learning
0h
Autonomous learning
3h

Presentation mobile application

Presentation of the application designed
Objectives: 3 4 5 6
Week: 15 (Outside class hours)
Theory
3h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
3h

Final Exam

Review of issues 1-8
Objectives: 1 2 3 4 5 6 7 8
Week: 15 (Outside class hours)
Theory
3h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
10h

Teaching methodology

* Classroom sessions
* Lab classes (python programming)
* Case-based sessions (mobile app design)

Evaluation methodology

Ep: Mideterm exam : 0 <= Ep <= 10
Ef: Final exam: 0 <= Ef <= 10
Ec: Use case: 0 <= Ec <= 1.


Final mark = 0,8xMAX (Ef, 0, 75 x Ef +0,25 x Ep) + 2xEc

Bibliography

Basic:

Previous capacities

Basic knowledge of TCP / IP networks and network protocols.
Basic knowledge of probability and linear algebra