Chapter 2: The Cellular System
Graduate Program
Program
Department of Electrical and Computer Engineering
Goal of the Chapter
In cellular system, the available radio spectrum is limited
E.g., because of regulatory issues
Hence, the number of simultaneo
Mobile Communication Systems
Part 1- Introduction & Principles
Professor Z Ghassemlooy
Faculty of Engineering and
Environment
University of Northumbria
U.K.
http:/soe.northumbria.ac.uk/ocr/
Prof. Z. Ghssemlooy
Reading List
- Mobile and Data Communications
EE 501 : LINEAR SYSTEM THEORY
EXERCISES ON CONTROLLABILITY, OBSERVABILITY
AND REALIZATIONS
1. (a) Prove that the pair(A, B), wher, A Rnn , B Rnm is controllable if and only if the matrix
B
I
A B
I
A
B
.
.
I
.
.
A
.
.
B
I
A B
n blocks
has
CS1007 Object Oriented Programming
Sample Final Examination
Professor S. Hershkop
Department of Computer Science
Columbia University
Spring 2006
1) Define the following terms, use complete sentences:
a. JComponent
b. layout manager
c. deep copy
d. accesso
MTH135/STA104: Probability
Homework # 7
Due: Tuesday, Nov 1, 2005
Prof. Robert Wolpert
1. For some number c > 0 the random variable X has a continuous probability distribution with density function
f (x) = c x,
0<x<4
(so f (x) = 0 for x
/ (0, 4); thus fo
ECE 3040
Microelectronic Circuits
Summer 2005
The information on this syllabus is tentative and subject to change.
Instructor: Dr. W. Marshall Leach, Jr., Van Leer E388, 404-894-2963, (Secretary: 404-894-2973), email:
[email protected]
Time and Locat
19th Omolayole Annual
Management Lecture
Friday December 5, 2003
at
Chartered Institute of Bankers Auditorium
Victoria Island, Lagos
THE ROLE OF TELECOMMUNICATIONS IN
NATIONAL DEVELOPMENT
By
Guest Lecturer
Engr Ernest Ndukwe, OFR
Executive Vice Chairman
N
EE635 - Control System Theory
Jitkomut Songsiri
3. Canonical forms
coordinate transformation
controllable canonical form
observable canonical form
controller canonical form
observer canonical form
3-1
Coordinate transformation
let the state-space equ
cfw_
2 x
1. Let f ( x )= c e x 0
0 otherwise
a. Find c
b. Let a 0, x 0, find P(X x + a)
c. Let a 0, x 0, find P(X x + a | X a)
2. Find Fy(y) and fy(y) if F x ( x )=( 1e2 x ) U ( x ) for the following cases
y=( x1 ) U ( x1 )
a.
2
b.
y=x
3. The random vari
COMP1008
Object-Oriented Programming
2005 Exam
2.5 Hours
Examiner:
Graham Roberts
Department of Computer Science
x33711, room 6.17
[email protected]
COMP1008
Answer ALL of Part I and TWO questions from Part II
(Note that in all questions the Java cod
Practice Exam
Algorithms and Programming for High Schoolers
(AddisCoder)
Question 1: Imagine evaluating the following expressions in order in the
Python interpeter. For each expression written in red, write down what the
expression would evaluate to in th
The Cellular System
Goal of the Chapter
In cellular system, the available radio spectrum is limited
E.g., because of regulatory issues
Hence, the number of simultaneous call supported is limited
How to achieve high capacity (or support simultaneous
ca
Chapter 1and 2
Overview of Wireless Communications
Goals of the Chapter
To give an overview on what and why of
wireless communication
Assess impact of wireless communication in our daily life
Define basic terminologies, historic perspective, and
evolution
Addis Ababa Science & Technology University
School of Electrical Engineering & Computing
Electrical and Electronics Engineering Department
Telecommunication Networks (EEEg-4282)
Chapter One
Introduction to Telecommunication Systems
Introduction to Telecom
%Introduction to matlab
%1.
Description of the language
% MATLAB is a high-level language and interactive environment for numerical
computation,
% visualization, and programming. Using MATLAB, you can analyze data, develop
algorithms,
% and create models
LAB 1: Introduction to MATLAB
Introduction
This lab is to familiarize the students with MATLAB environment and some preliminary
MATLAB functions.
Procedure:
Students are required to go through the steps explained below and then complete the exercises
give
Wireless and Mobile Communications
Assignment Number III
Submission Date: May 13, 2016
This assignment is given to all 4 groups; each group consists of 5 or so students for the 5th year.
Read the topics which are covered so far and read further from the r
REPEATED TRIALS
We rst note a basic fact about probability and counting. Suppose E1 and E2
are independent events. For example, you could think of E1 as the event of
tossing two dice and getting a sum of 7. You could think of E2 as the event
of tossing tw
To design a GSM voice network - obtain the following data:
(a) How large a service areas to you want to cover?
(b) How many people live in that service areas? Is the density of people in the area
constant or are there pockets with higher concentration - i
Week 13 lecture 2
Cellular Networks -Interference
MAJOR LIMITING FACTOR for Cellular System performance is the INTERFERENCE
Interferences can cause:
CROSS TALK
Missed and Blocked Calls.
SOURCES OF INTERFERENCE?
Another mobile in the same cell (if dista
Chapter 3: Mobile Radio Propagation
Large-Scale Path Loss
Graduate Program
Program
Department of Electrical and Computer Engineering
Goals of the Chapter
Radio channels are random and difficult to analyze
Interference, path loss, fading,
Discuss prope
ISSN (Online) : 2278-1021
ISSN (Print) : 2319-5940
International Journal of Advanced Research in Computer and Communication Engineering
Vol. 3, Issue 7, July 2014
Synchronization in Cognitive Radio Systems: A
Survey
Annpurna Shukla1, Ravimohan2
Shri Ram I
World Academy of Science, Engineering and Technology
International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering Vol:8, No:5, 2014
Analysis of Linear Equalizers for Cooperative
Multi-User MIMO Based Reporting System
World Academy of Science, Engineering and Technology
International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering Vol:8, No:11, 2014
Centralized Cooperative Spectrum Sensing with
MIMO in the Reporting Network over
Fa
Full-Duplex Cognitive Radio: A New Design
Paradigm for Enhancing Spectrum Usage
Yun Liao , Lingyang Song , Zhu Han , and Yonghui Li
arXiv:1503.03954v1 [cs.NI] 13 Mar 2015
State Key Laboratory of Advanced Optical Communication Systems and Networks,
School
Reciprocity-Based Cognitive Transmissions using a MU
Massive MIMO Approach
Boris Kouassi, Irfan Ghauri, Luc Deneire
To cite this version:
Boris Kouassi, Irfan Ghauri, Luc Deneire. Reciprocity-Based Cognitive Transmissions using a
MU Massive MIMO Approach.
1
MIMO Precoding in Underlay Cognitive Radio
Systems with Completely Unknown Primary CSI
arXiv:1204.1096v1 [cs.IT] 5 Apr 2012
Amitav Mukherjee, Minyan Pei, and A. Lee Swindlehurst, Fellow, IEEE
AbstractThis paper studies a novel underlay MIMO cognitive
ra
1
Multiple Antenna Techniques for Wireless
Mesh Networks
Athanasios Gkelias and Kin K. Leung
Department of Electrical and Electronic Engineering
Imperial College
South Kensington Campus, London SW7 2AZ,UK.
Email:cfw_a.gkelias,[email protected]
1.1