[95]
CHAPTER 6 APPLICATION OF
TRANSMULTIPLEXERS IN OFDM ULTICARRIER modulations such as OFDM and DMT are efficient technologies
for the implementation of wireless and wire line communication systems. Due to several
advantageous features of MC systems, it has been adopted by many wireless communication standards
like IEEE802.11a/n, IEEE802.16, ADSL, VDSL, DAB and DVB-T. It is also proposed for the future
generation mobile communication system like 4G. A relatively simple implementation is possible for MC
systems. Low complexity is due to the use of fast DFT, avoiding complicated equalization algorithms.
Efficient performance of MC modulation is especially vivid in channels with frequency selective fading
and multipath [109].
6.1 MULTICARRIER MODULATION SYSTEMS
Multi-carrier (MC) modulation is an efficient technique for transmitting information over a
multipath fading channel. It is an attractive approach for high bit rate transmission over digital subscriber
line. The idea of MC modulation was proposed approximately 50 years ago [9 and 60]. However, these
ideas were not persuaded due to limitations of processing technology. Advances in the area of digital
signal processing have made this concept practically feasible and competitive with traditional single-
carrier system [1 and 9].
The basic concept behind MC transmission is to divide the available spectrum into number of
sub-channels, assigning a single carrier to each of them and distributing the information stream between
sub-carriers. Each carrier is modulated separately and the superposition of the modulated signals is
transmitted. Such a scheme has several benefits like, if the sub-carrier spacing is small enough, each sub-
channel exhibits a flat frequency response, thus making frequency-domain equalization easier. Each sub-
stream has a low bit rate, which means that the symbol has a considerable duration; this makes it less
sensitive to impulse noise. When the number of sub-carriers increases for properly chosen modulating
functions, the spectrum approaches a rectangular shape. The MC scheme shows a good modularity. For
instance, the sub-carriers are exhibiting a disadvantageous signal-to-noise ratio (SNR) which should be
minimized. Moreover, it is possible to choose the constellation size (bit loading) and energy for each sub-
carrier, thus approaching the theoretical capacity of the channel [57].
M
[96]
6.2 TRANSMULTIPLEXER BASED OFDM SYSTEM
The broadband wireless communication system is required to be operating in an environment
which is characterized by high carrier frequency, data transmission rate and mobility, altogether such an
environment can be modeled by a frequency selective fast time varying fading channel. It has been
studied and established that the MC data transmission techniques such as Multi Carrier Code Division
Multiple Access (MC-CDMA) and OFDM are best suited for such channels [108 and 109]. The OFDM is
a special case of MC modulation in which serial stream of data is divided in parallel and then modulated
by orthogonal sub-carriers with partial overlapping frequency bands.
The OFDM symbols have relatively long time duration as compared to single carrier modulation
with a narrow bandwidth. This increases the robustness against multipath deteriorations and results in less
complex equalizers which helps in performing the channel equalization easily in the frequency domain
through a bank of one-tap multipliers [109]. In a single-carrier system, a single fade or interferer can
cause the entire link to fail, but in a MC system, only a small percentage of the sub-carriers will be
affected. Error correction coding can then be used to correct for the few erroneous sub-carriers. One of
the major issues of OFDM system is the overlapping of OFDM symbols while transmission through
multipath fading channel which in turn generate ICI and ISI at the receiver [9 and 109].
In order to minimize these interferences, the OFDM system makes use of guard band, which
results in loss in spectral efficiency [18]. In addition, the DFT based modulation filters have side lobes of
the order of -13dB which causes the significant spectral overlap between the sub-carriers [79]. Many
researchers have been worked on this issue and suggested filter bank based-MC transmission systems,
such as the overlapped DMT, DWMT [47] and FMT [43]. These filter bank based-MC transmission
systems use filters of larger length than the rectangular filters of DMT system and results into
improvement in side lobes attenuation, lower level of ICI, ISI and greater robustness to narrowband
interference [1]. All the advantages of OFDM system are lies in the orthogonality of sub-carriers which is
also preserved by using DFT based digital filter bank. Therefore, the development in this technique is to
take place with the advancement in digital signal processing field. The DFT based OFDM system is
shown in Figure-6.2.1.
[97]
(a)
(b)
Figue-6.2.1: (a) OFDM system (b) TMUX
The DFT can be interpreted from the theory of multirate systems as an exponentially modulated
filter bank, where the prototype filter is an N-length window function [10], having N is the length of the
DFT (the number of sub-channels in MCM systems). Since each filter in the DFT bank is obtained from a
window function, the minimum sub-channel discrimination is on the order of 13.5 dB. Considering that
the dispersive channel destroys orthogonality between subcarriers, when IFFT / FFT is used for data
transmission, the system suffers from ICI and ISI.
M
M
M
H0(z)
H1(z)
HM-1(z)
.
.
.
C (z)
F0(z)
F1(z)
FM-1(z)
M
M
M
.
.
.
x0 [n]
x1 [n]
xM-1 [n]
X1 [n]
XM-1[n]
y [n]
x0 [n]
[98]
In addition to radio frequency interferences emerging from AM radio signals, other kinds of
narrow-band interferences sometimes lead to the major performance degradation, affecting a large
number of sub-carriers [109]. As a result, the performance of DFT-based multi-carrier modulation
systems in noisy environments, mainly with narrow-band noise, is far from being robust and reliable. In
order to solve these problems, researchers have been investigating the use of alternative filter banks with
a TMUX configuration [76]. Figure- 6.1(b) shows an example of an M-channel filter-bank based TMUX.
The delay has been introduced at the transmitter or at the receiver stage in order to obtain proper system.
The shaded blocks of OFDM system in Figure-6.2(a) are replaced with TMUX as shown in Figure-
6.2.1(b).
It is well-known that several maximally decimated filter banks can be efficiently implemented,
reducing the total computational cost. By using some of the fast algorithms, a significant group of filter
bank-based TMUX can be achieved, as shown in Figure- 6.1(b). The general block diagrams for the
transmitter and the receiver can be obtained from the synthesis and the analysis filter banks, respectively.
At the transmitter, there are the processes like (a) Matrix and transform operations; (b) poly-phase filters,
or lattice or butterfly structures; (c) parallel/serial (P/S) converter. At the receiver, the different operations
are (a) Serial/parallel converter; (b) poly-phase filters, or lattice or butterfly structures: (c) matrix and
transformation operations. For this system, the key point is that the last and the first stage of the
transmitter and the receiver are, respectively, a P/S and an S/P converter. Various building blocks of
OFDM system are explained below.
6.2.1 PSK/QAM Mapping and Demapping
In the transmitter side, the binary bit stream is generated by data generator as shown in Figure-
6.1(a) which will be mapped to the frequency domain (constellation mapping) when they are allocated on
each sub-carrier. The data stream is mapped using one or more digital modulation schemes, such as
Phase-Shift Keying , Quadrature Amplitude Modulation (QAM) [109] etc., which are represented by a
complex in-phase and quadrature-phase vector. At the receiver end, the constellation points are de-
mapped to obtain the time domain transmitted information bits.
6.2.2 Serial to Parallel/ Parallel to Serial Conversion
At the input of the OFDM system, data is arriving in the form of a serial data stream, therefore a
serial to parallel conversion block is needed to convert the input serial bit stream into the parallel data in
each OFDM symbol. The data allocated to each symbol depends on the modulation scheme used and the
number of sub-carriers, viz. for a sub-carrier modulation of 16-Quadrature Amplitude Modulation (QAM)
[99]
each subcarrier carries 4 bits of data, and for a transmission using 100 sub-carriers, the number of bits per
symbol would be 400. At the receiver, the parallel to serial conversion block is performed as an inverse
operation, converting the data in each OFDM symbol to the output serial bit stream [33].
6.2.3 IFFT/FFT
In the transmitter side, after serial data stream is converted to parallel blocks of size N, the IFFT
operation is used to convert modulated data on each sub-carrier from frequency domain to the time
domain, allowing it to be transmitted. Time domain samples are calculated as-
푥 (푛) = 푋(푘)푒 ⁄ ,
for 0 ≤ n ≤ N-1 (6.2.3.1)
where, X(k) is the symbol transmitted on the kth subcarrier and N is the number of sub-carriers. The
samples x(n) are interpreted as time domain signal. At the receiver side, the signal is transformed to the
frequency domain using FFT operation [34].
6.2.4 Equalization
The aim of equalization is to find an inverse filter that compensates for the ISI so that all the
multipath signals become shifted and aligned in time, rather than being spread out. In the OFDM systems,
the bandwidth of the sub-carriers is much narrower than the entire frequency selective fading channel;
this makes the frequency response over the bandwidth of each sub-carrier effectively flat. As a result,
only simple frequency domain equalization is required, in the simulation zero-forcing equalization
algorithm is used [86].
6.2.5 Cyclic Prefix and Zero Padding
Cyclic prefix (CP) and zero padding (ZP) are two common guard intervals in the OFDM system
to combat the effect of multipath. The low transmission power is one of the most important characteristics
of ultra wideband (UWB) communication systems. For this consideration, MB-OFDM (Multiband
Orthogonal Frequency Division Multiplexing) UWB system adopts the ZP-OFDM scheme to decrease
the transmission power (ZP part does not occupy any energy). ZP-OFDM scheme also has another
advantage compared to CP-OFDM, it guarantees the symbol recovery and assures the equalization of FIR
channels regardless of the channel zero locations [109].
[100]
However, the ZP-OFDM scheme increases the receiver complexity. In CP-OFDM symbol, the
basic idea is to replicate part of the OFDM time-domain symbol from back to the front to create a guard
period. Time domain OFDM signal is cyclically extended to mitigate the effect of multipath [86].
6.3 PERFORMANCE PARAMETERS OF OFDM SYSTEM BY USING
OPTIMIZATION TECHNIQUES
The performance of the OFDM system can estimate on the basis of variation in BER with respect to
change in SNR.
6.3.1 Multiband -OFDM System
In the year 2005, the ECMA-368 was chosen as the physical layer of high data rate wireless
specifications for high speed Wireless USB, Bluetooth 3.0 and Wireless High-Definition Media Interface.
The MB-OFDM systems consist of 14 bands with a bandwidth of 528 MHz for each band. These bands
are then grouped into five band groups. The information transmitted on each 528 MHz band is modulated
using OFDM. OFDM distributes the data over 122 useful subcarriers with 4.125 MHz subcarrier spacing.
Frequency-domain spreading, time-domain spreading and forward error correction coding are
used to vary the data rates. The supporting data rates are 53.3, 80, 106.7, 160, 200, 320, 400 and 480
Mb /s. The MB-OFDM UWB system has two modes of operation: Time Frequency Interleaved (TFI) and
Fixed Frequency Interleaved (FFI). In the TFI mode, the signal hops over two or three bands within a
band group. The hopping pattern is called a time frequency code (TFC) and has a period of six hops. In
each hop, one OFDM symbol is transmitted. For each band group, a TFC is defined. In the FFI mode the
system does not hop and only uses one of the 528 MHz bands. In this study an IFFT block of OFDM
system has been replaced by TMUX block. Figure-6.2 clearly illustrates that IFFT block of OFDM
system can be replaced by TMUX because graph between bit error rate and signal to noise ratio is same
for OFDM with IFFT as well as TMUX [34].
6.3.2 Narrow-band Interference Models in MB-OFDM UWB System
Narrow-band interference (NBI) can be generated due to the transmission signals or harmonics
(caused by the nonlinearity characteristic of the power amplifier) generated from other services. These
signals (or harmonics) may occupy the same frequency band with the MB-OFDM UWB system, hence
introduce the interference to the system. In this analysis, one limits the cases where NBI problem is due to
the harmonics generated by GSM interferer and WLAN interferer. Further, investigation has limited to
[101]
two extreme cases: second harmonic of GSM signal and third harmonic of WLAN signal. These two
cases represent the minimum/maximal bandwidth, corresponding to maximal/ minimum power spectral
density for the same SIR [109].
6.3.3 Additive White Gaussian Noise (AWGN) Channel
The AWGN channel is the simplest channel model used in most communication systems. The
thermal noise in the receivers can be characterized as an additive white Gaussian process. AWGN has a
uniform spectral density (making it white) and a Gaussian probability distribution. This model does not
account for the phenomena of fading, frequency selectivity, interference, nonlinearity or dispersion [110].
6.3.4 Mathematical Derivation of Spectrum Leakage
A model with single frequency component is used to demonstrate the principle of the spectrum
leakage. This interference can be regarded as a NBI with extreme small bandwidth.
퐼(푛) = 푒 . (6.3.4.1)
where, I(n) is the discrete sampling points of the time-domain interference with single frequency
component fc, n is the time index having the range n =1, 2....m. m is the number of samples of time
domain OFDM signal by assuming one sample per bit. In OFDM modulation, the subcarrier frequency fn
is given as-
푓 = 푛훻푓.
(6.3.4.2)
훻푓 =푓푁
.
(6.3.4.3)
Here, fs is the entire bandwidth and N is the number of subcarriers. Suppose the interference with single
frequency component fc is located in the middle of sub-carrier 81 and sub-carrier 82 then cut-off
frequency is given as-
푓 = . 푓 = . .
(6.3.4.4)
[102]
Interference can be written as-
퐼(푛) = 푒 = 푒.
.
(6.3.4.5)
After taking FFT of I(n), the frequency-domain interference samples can be written as-
퐼(푘) = 퐼(푛) 푒 .퐼(푘) = 푒 푒
(6.3.4.6)
After putting the values of cut-off frequency fc as shown in (6.3.4.4)
= 푒 ( . ),
for k = 0, 1, 2,3………………. N-1 (6.3.4.7)
By using the summation formula of geometric progression
퐼(푘) = 푒 ( . ) =1 − 푒 ( . )
1 − 푒 ( . ).
(6.3.4.8)
In this case, narrow band interference has been introduced at different level of noise power in an
OFDM system with IFFT and TMUX. The performance of OFDM with TMUX is compared with the
OFDM with IFFT on the parameter bit error rate by varying signal to noise ratio (Eb/N0) and results
obtained are shown in Figure-6.3.1 which clearly illustrates that whenever the noise power of narrowband
interference has been increased TMUX based OFDM system provides better results as compared to
conventional OFDM with IFFT. The BER performance of an OFDM system using TMUX [in place of
FFT and IFFT blocks of Figure-6.2.1(a)] with narrow band interference has been shown in Figure- 6.3.2.
This clearly depicts that the BER of OFDM system using TMUX is found lower as compared to
conventional OFDM system.
[103]
The TMUX designed with various windows using bi-section algorithm for an OFDM system
performs differently. The proposed window provides better performance in terms of BER as visible from
Figure- 6.3.3 by which a conclusion can be drawn that at 12 dB SNR the BER is better than Kaiser, PC4
and PC6 window function.
Figure- 6.3.1: OFDM system with IFFT and TMUX
Figure- 6.3.2: OFDM system with TMUX at different value of narrow band interference
[104]
Figure- 6.3.3: OFDM system with TMUX designed with various windows using bi-section algorithm
Figure- 6.3.4: OFDM system with TMUX designed with various windows using LM algorithm
[105]
In this case, OFDM system with TMUX designed with the help of various windows and LM
algorithm are compared on the basis of BER pattern, as shown in Figure-6.3.4. This also shows that the
proposed window provides better results as compare to other existing combinational window functions.
6.4 COMPARATIVE STUDY AND FINDINGS
In this study, the proposed window family along with Kaiser, PC4 and PC6 are used to design a
TMUX for an OFDM system to analyze the performance based on parameter BER. The performance
comparison of OFDM system with several variable and combinational window functions is determined. It
is found that the BER of proposed window is better than Kaiser, PC4 and PC6 window functions. In
OFDM system, TMUX use prototype filter which consist of optimum value of filter coefficients that are
obtained by different optimization techniques such as bi-section and LM algorithms. Bi-section algorithm
provides better results in OFDM system as compared to other algorithm.
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