Title: HANDBOOK ON GREEN INFORMATION AND COMMUNICATION SYSTEMS
1HANDBOOK ON GREEN INFORMATION AND COMMUNICATION
SYSTEMS
Chapter 15 Energy Efficient MIMO-OFDM Systems
Zimran Rafique and Boon-Chong Seet Auckland
University of Technology New Zealand
2Table of Contents
3INTRODUCTION
- Due to multimedia applications, wireless systems
with higher data rate are required - Higher data rates necessitate more energy per bit
for a given bit error rate (BER) - Thus, overall system energy consumption will
increase - Corresponding increase in CO2 emission threatens
climate change and contributes to global warming - Energy efficient designs for high data-rate
wireless systems is a crucial issue to be
addressed
4INTRODUCTION
- Multi-Input-Multi-Output (MIMO) systems
- In late 1990s, MIMO techniques were proposed to
achieve higher data rates and smaller BER with
the same transmit power and bandwidth required by
single antenna system - Orthogonal Frequency Division Multiplexing (OFDM)
- OFDM is a multi carrier modulation technique
which has the capability to mitigate the effect
of inter-symbol-interference (ISI) at the
receiver side
5INTRODUCTION
- Fourier based OFDM (FOFDM)
- Wavelet based OFDM (WOFDM)
- In conventional OFDM, complex exponential Fourier
bases are used to generate orthogonal subcarriers
consist of a series of orthogonal sine/cosine
functions
- In WOFDM, wavelet bases are used to generate
orthogonal carriers. These bases are generated
using symmetric or asymmetric QMF structure of
delay or delay-free type
6INTRODUCTION
- MIMO-OFDM
- MIMO techniques are used with OFDM (MIMO-OFDM) to
enhance the system performance - MIMO-OFDM systems are capable of increasing the
channel capacity even under severe channel
conditions - Provide two dimensional space-frequency coding
(SFC) in space and frequency using individual
subcarriers of an OFDM symbol or three
dimensional coding called space-time-frequency
coding (STFC) to achieve larger diversity and
coding gains - OFDM can also be used in multi-user cooperative
communication system by assigning subcarrier to
different users for overall transmit power
reduction
7Multiple Antenna System
- More than one antennas are used on transmitting
- and/or receiving side
- By using spatial multiplexing, data rate can be
- increased
- By using spatial diversity, BER can be improved
- SNR can be improved at the receiver and
- co-channel interference (CCI) can be
eliminated - along with beam forming techniques
MIMO wireless communication system
8Multiple Antenna System
- Spatial Multiplexing Techniques
- The number of users, or data rate of a single
user, can be increased by the factor of number - of transmitting antennas (Nt) for the same
transmission power and bandwidth
- Individual transmitter antenna power is scaled by
1/ Nt, thus the total power remains - constant and independent of number of Nt
- At the receiver, the transmitted signals are
retrieved from received sequences (layers) - by using detection algorithms
Spatial multiplexing system architecture with Nt
transmitting and Nr receiving antennas
9Multiple Antenna System
Spatial Multiplexing Techniques
,
D-BLAST
10Multiple Antenna System
Spatial Multiplexing Techniques
D-BLAST
11Multiple Antenna System
Spatial Multiplexing Techniques
D-BLAST
12Multiple Antenna System
Spatial Multiplexing Techniques
V-BLAST
13Multiple Antenna System
Spatial Multiplexing Techniques
V-BLAST
14Multiple Antenna System
Spatial Multiplexing Techniques
V-BLAST
15Multiple Antenna System
Spatial Multiplexing Techniques
V-BLAST
16Multiple Antenna System
Spatial Multiplexing Techniques
V-BLAST
17Multiple Antenna System
Spatial Multiplexing Techniques
Turbo-BLAST
18Multiple Antenna System
Spatial Multiplexing Techniques
Turbo-BLAST
19Multiple Antenna System
Spatial Multiplexing Techniques
Turbo-BLAST
20Multiple Antenna System
Space Time Coding Techniques
- By using space and time (two-dimensional coding),
multiple antenna setups can be used to attain
coding gain and diversity gain for the same bit
rate, transmission power and bandwidth as
compared single antenna system - Information bits are transmitted according to
some pre-defined transmission sequence - At the receiver, the received signals are
combined by using optimal combining scheme
followed by a decision rule for maximum
likelihood detection
Space-time coding system architecture with Nt
transmitting and Nr receiving antennas
21Multiple Antenna System
Space Time Coding Techniques
Alamouti STC Technique
22Multiple Antenna System
Space Time Coding Techniques
Alamouti STC Technique
23Multiple Antenna System
Space Time Coding Techniques
Space-Time Trellis Coding ( STTC) Technique
24Multiple Antenna System
Space Time Coding Techniques
Space-Time Trellis Coding ( STTC) Technique
PSK 4-state space-time code with two transmitting
antennas
Time-delay diversity with 2 antennas
25Multiple Antenna System
Space Time Coding Techniques
Orthogonal Space-Time Block Coding ( OSTBC)
Technique
26Multiple Antenna System
Space Time Coding Techniques
Orthogonal Space-Time Block Coding ( OSTBC)
Technique
27Multiple Antenna System
Space Time Coding Techniques
Space-Time Vector Coding ( STVC) Technique
28Multiple Antenna System
Space Time Coding Techniques
Space-Time Vector Coding ( STVC) Technique
29Multiple Antenna System
Beam-Forming
- Multiple antennas capable of steering lobes and
nulls of antenna beam - Co-channel interference cancellation can be done
to improve SNR - and to reduce delay spread of the channel
A beam-former with Nt transmitting and Nr
receiving antennas
30Multiple Antenna System
Beam-Forming
Delay-Sum Beam-Former
A Simple Delay-Sum Beam-Former
31Multiple Antenna System
Beam-Forming
V-BLAST MIMO System with Beam-Former
V-BLAST MIMO system with beam-former
32Multiple Antenna System
Multi-Functional MIMO Systems
- Capable for achieving multiplexing gain,
diversity gain and beamforming gain - Has Nt transmit antenna arrays (AAs) which are
sufficiently apart to experience independent
fading - LAA numbers of elements of each AA are spaced at
a distance of ?/2 for achieving beamforming gain - Receiver is equipped with Nr receiving antennas
Multi-functional MIMO system
33Multiple Antenna System
Virtual MIMO (V-MIMO) Systems
Models
- Also known as cooperative MIMO systems
- Proposed primarily for energy and physically
constrained wireless nodes (e.g. sensor nodes) - to realize the advantages of MIMO techniques,
which is otherwise not possible - V-MIMO systems are distributed in nature because
multiple nodes are placed at different - physical locations to cooperate with each
other - V-MIMO systems may also have problems such as
time and frequency asynchronism
Virtual-MIMO system models
34Multiple Antenna System
Virtual MIMO Systems
Models
Virtual-MIMO system models
35Multiple Antenna System
Virtual MIMO Systems
Transmission-Delay for Model-d
36Multiple Antenna System
Energy Efficiency of MIMO Systems
37Multiple Antenna System
Energy Efficiency of MIMO Systems
38Multiple Antenna System
Energy Efficiency of MIMO Systems
39Multiple Antenna System
Energy Efficiency of MIMO Systems
Transmitter and receiver architecture
(In-Phase/Quadrature-Phase) for FOFDM and QAM
(analog)
40Multiple Antenna System
Energy Efficiency of MIMO Systems
41Multiple Antenna System
Energy Efficiency of MIMO Systems
42Multiple Antenna System
Energy Efficiency of MIMO Systems
43OFDM WOFDM
OFDM
44OFDM WOFDM
Orthogonality Principle of OFDM
Comparison of the bandwidth utilization for
FDM and OFDM
45OFDM WOFDM
Fourier based OFDM (FOFDM)
46OFDM WOFDM
Fourier based OFDM (FOFDM)
A basic FOFDM based communication system
47OFDM WOFDM
Fourier based OFDM (FOFDM)
FOFDM modulator and demodulator with filter bank
structure
48OFDM WOFDM
Wavelet based OFDM (WOFDM)
Constellation Diagram of WOFDM
49OFDM WOFDM
Wavelet based OFDM (WOFDM)
50OFDM WOFDM
Wavelet based OFDM (WOFDM)
51OFDM WOFDM
Wavelet based OFDM (WOFDM)
WOFDM modulator and demodulator using symmetric
QMF filter bank structure
52OFDM WOFDM
Wavelet based OFDM (WOFDM)
53Multiple Antenna OFDM Systems
- Most of the MIMO techniques have been developed
with the assumption of - flat fading channel
- For broadband frequency selective wireless
channel, the combination of MIMO and - OFDM (MIMO-OFDM) was proposed to mitigate the
effect of ISI and ICI - In MIMO techniques, CSI is usually required at
transmitter and/or receive side, - thus OFDM is also used in MIMO systems to
estimate CSI
MIMO-OFDM system with Nt transmitting and Nr
receiving Antennas
54Multiple Antenna OFDM Systems
MIMO Techniques with FOFDM
55Multiple Antenna OFDM Systems
MIMO Techniques with FOFDM
56Multiple Antenna OFDM Systems
MIMO Techniques with FOFDM
57Multiple Antenna OFDM Systems
MIMO Techniques with FOFDM
Co-operative communication in a multi user
scenario using FOFDM
58Multiple Antenna OFDM Systems
MIMO Techniques with WOFDM
Transmitter and receiver architecture for WOFDM
(analog)
59Conclusion
- The underlying principles and techniques of
MIMO-OFDM systems for energy efficient - wireless communications are presented
- Multi-antenna systems with spatial multiplexing,
space-time coding and beamforming - techniques are introduced
- To improve BER, SNR, throughput, and energy
efficiency, multi-functional MIMO and - virtual MIMO systems are discussed along with
energy efficiency analysis - The basic principles of FOFDM and WOFDM and
their applications in true (co-located) - and virtual (cooperative) MIMO wireless
systems are described - MIMO-OFDM is a promising solution for energy
efficient high data rate wireless networks - WOFDM can be used for SFC, STFC, as well as
cooperative communication systems
60Conclusion
- Potential directions for future work
-
- New wavelet basis can be designed according to
wireless channel conditions to - improve the overall system performance
- Multifunctional MIMO performance can be
evaluated using WOFDM/FOFDM - True and virtual MIMO-OFDM systems can be
implemented to verify the theoretical results - Physical layer architecture performance of
MIMO-OFDM system along with medium - access control (MAC) layer protocols
can be explored - New MAC layer protocols can be proposed for true
and virtual MIMO-OFDM systems