Study-Unit Description

Study-Unit Description


CODE CCE5306

 
TITLE Intelligent Wireless Solutions

 
UM LEVEL 05 - Postgraduate Modular Diploma or Degree Course

 
MQF LEVEL 7

 
ECTS CREDITS 5

 
DEPARTMENT Communications and Computer Engineering

 
DESCRIPTION This study-unit will first look into performance issues in Ad-hoc networking. This will be followed by the theory and practical aspects behind the application of intelligent algorithms to optimise the wireless network performance. These include Cooperative networks, Cross Layer design, and Intelligent routing. Furthermore, localisation techniques including RSSI, Time-of-arrival, Angle-of-arrival, Assisted-GPS, Observed time difference, and more advanced techniques will be studied.

Study-unit Aims:

This study-unit aims at providing an understanding at how intelligent techniques can be applied in wireless network design and optimisation. It also provides the theory to design adaptive and collaborative wireless networks and analyse the effect of these solutions on the network's performance.

Industry applied techniques will be reviewed and discussed to understand and appreciate the future trends in wireless communication networks. A standards-based view is taken of the development, evolution, techniques and potential future scenarios for the deployment of wireless systems.

Learning Outcomes:

1. Knowledge & Understanding:

By the end of the study-unit the student will be able to:

- Understand how intelligent algorithms can be applied to wireless networking to improve overall performance;
- Understand how wireless networks can be developed to suit particular applications and adapt to the changing channel characteristics;
- Obtain knowledge about current wireless communications technology and future trends. This shall be based on the latest trends in commercially deployed networks and forthcoming technological advancements, including:
    - Fourth Generation (LTE and LTE-Advanced) mobile networks;
    - Features and issues in heterogenous networks : smalls cells, femtocells and interference mitigation;
    - Self-Organizing Networks ; application of SON capabilities to LTE networks;
    - Application of cognitive radio techniques to TV white space access and to LTE;
    - Licensed versus unlicensed spectrum operation – issues and trends.
- Understand and describe current and future trends in advanced wireless networks, including the evolution towards fifth generation (5G) mobile networks.

2. Skills:

By the end of the study-unit the student will be able to:

- Design and develop wireless network solutions that apply intelligent algorithms to optimise the network's performance by adapting to the channel characteristics;
- Apply localisation techniques to common wireless networks;
- Design application-specific wireless network solutions.

Main Text/s and any supplementary readings:

- Emerging wireless multimedia services and technologies / edited by Apostolis K. Salkintzis, Nikos Passas, Wiley, 2005.

IEEE Journal papers:
- T.W. Rondeau, C.W. Bostian, “Artificial Intelligence in Wireless Communications, ” Artech House, 2009, ISBN: 978-1-60783-234-8.
- Maria Stella Iacobucci, “Reconfigurable Radio Systems – Network Architectures and Standards”; Wiley, 2013; ISBN 978-1-119-96930-3.

 
STUDY-UNIT TYPE Lecture

 
METHOD OF ASSESSMENT
Assessment Component/s Sept. Asst Session Weighting
Assignment Yes 30%
Assignment Yes 30%
Examination (1 Hour) Yes 40%

 
LECTURER/S Mario Cordina
Martin Zammit (Co-ord.)

 

 
The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints.
Units not attracting a sufficient number of registrations may be withdrawn without notice.
It should be noted that all the information in the description above applies to study-units available during the academic year 2023/4. It may be subject to change in subsequent years.

https://www.um.edu.mt/course/studyunit