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International Journal of Research in Advent Technology, Vol.2, No.5, May 2014 
E-ISSN: 2321-9637 
379 
Performance Investigation of M-ARY Modulations 
through Human Body Area Channel 
Sukhraj Kaur1 , Rachita2 , Dr.Jyoteesh Malhotra3 
ECE Department1, 2, 3, GNDU RC-Jalandhar1, 2, 3 
Email: sukhrajkaur91@gmail.com1 , rachitasharma92@gmail.com2 , jyoteesh@gmail.com3 
Abstract-- In this paper, the performance of M-ary modulations have been evaluated by carrying out extensive 
simulations at different carrier frequencies through Human Body Area Channel. Rayleigh and Weibull 
distributions have been used for generating fading power profiles[1] .The bit error rate has been obtained by 
using M-ary modulation schemes i.e. M-ary PAM(Pulse Amplitude Modulation) and M-ary BOK(Bi-orthogonal 
Keying) in the Human Body Area Network channel. With the aid of these graphs, bit error rate 
performance evaluation of M-ary modulations at different values of Carrier frequency has been done and the 
performance of various Rake receivers have been taken into account. The values of the carrier frequency are 
chosen within the constraints specified by the NICTA. Through simulative investigations of Bit Error Rate 
(BER), it has been found that the best suitable value of carrier frequency by using M-ary modulation in the 
Human BAN channel is 2400 Mhz[4]. It has been observed that the performance of selective rake receiver (for 
optimum number of fingers) is better than partial rake receiver for both modulations. 
Index Terms – M-ary Modulations; Bit Error Rate; Signal to Noise Ratio (SNR) 
1. INTRODUCTION 
The Wireless Body Area Networks[1] is emerging 
as a new technology in medical and Consumer 
Electronics applications. We can do real time 
monitoring of patients with the help of small 
wearable and implantable sensors. These sensors are 
designed to measure and monitor events and 
physical properties such as temperature, pressure, 
movement, pulse rate and location. It has the 
smallest coverage area only surrounding the body of 
a human. It uses the ISM frequency band which is 
approved band of Regulatory and Medical 
authorities for in or around human body. The basic 
function of WBAN is to provide effective and 
reliable networking for transmission of data, voice 
or picture through wireless communication links. 
The remainder of this paper is organized as follows: 
In the following section the simulation 
methodology is given which explains how the 
curves have been drawn for SNR and BER. Section 
3 and section 4 gives us the information about 
signaling scheme and simulation parameter 
respectively. Receiver structure is explained in 
section 5. The results and are given in section 6 
followed by conclusion in section 7. 
2. SIMULATION METHODOLOGY 
With the help of above digital modulation 
techniques various graphs are plotted between 
Signal to Noise Ratio (SNR) and Bit Error Rate 
(BER).by using the following steps[1]. 
Step1: Generate power profile 
([signal,time_samp,mean_path_loss] = 
generate_power_profile_wmban(), of Human BAN 
channel ( ). 
Step2: Calculate absolute value of signal. 
Step3: Calculate received SNR of each sample of 
power profile with the help of transmitted SNR and 
mean_path_loss. 
Step4: Calculate received signal to noise ratio for 
various rake taps ( all-rake, partial rake, selective 
rake). 
Step5: (a) Calculate BER for BPSK receiver (all-rake, 
partial rake, selective rake). 
Step6: BER vs SNR curves are plotted for BPSK at 
different carrier frequencies.
International Journal of Research in Advent Technology, Vol.2, No.5, May 2014 
E-ISSN: 2321-9637 
380 
Fig. 1. Flow chart for generation of SNR vs BER 
3. SIGNALLING SCHEME 
An information carrying signal is generally limited 
by its channel. The bit streams to be transmit over 
channel are inherently discrete time and all physical 
media are continuous time in nature; hence 
modulation is required to represent the bit stream as 
a continuous time signal for transmission. In other 
word modulation is the process of varying signal so 
that it carry information. There are various possible 
modulation options depending on the range, 
transmission and reception power, quality of service 
requirements, regulatory requirements, hardware 
complexity, data rate, reliability of channel, and 
capacity. Therefore, it is crucial to choose the right 
modulation for the right purpose. Here we use 
compares M-ary modulating schemes[3]. In these 
modulations mapping is generally performed by 
taking blocks of binary digits at a time 
from sequence {an} and selecting one of symbols 
from 
. (1) 
Where and 
M-PAM - Pulse amplitude modulation is the digital 
modulation in which the amplitude of the 
modulating signal vary in accordance with the 
carrier signal. In this carrier signal is in form of 
pulses which is modulated by digital modulating 
signal. With M=16,16-PAM allows 4 bits per 
symbol and with M=32,32-PAM allows 5 bits per 
symbol and for M=64,64-PAM allows 6 bits per 
symbol. 
M-BOK – M-BOK stands for M-ary Bi-Orthogonal 
Keying modulation in which a set of M moderate 
length ternary codes (−1, 0, +1 ) is used to represent 
M symbols. . The M-BOK symbols are spaced on M 
orthogonal axes in the modulation symbol space, so 
the probability of symbol errors follows that of M-ary 
bi-orthogonal modulation. 
4. SIMULATION PARAMETERS 
In order to evaluate the performance of WBAN 
channel under varied channel conditions, some 
important and effective simulation parameters have 
been identified in this work. They include: 
4.1. Carrier frequency 
A carrier signal is a transmitted electromagnetic 
pulse or wave at a steady base frequency of 
alternation on which information can be imposed 
by increasing signal strength, varying the base 
frequency, varying the wave phase, or other 
means. This variation is called modulation. A 
carrier frequency[4] is frequency of carrier signal. 
4.2. BIT ERRROR RATE 
The bit error rate is the ratio of number of error bits 
to the total transferred bits during a time interval for 
which the performance of channel is measured. It is 
also called bit error ratio (BER)[3].The probability 
of bit error rate is an approximate estimation of bit 
error rate is calculated as follows: 
M-ary PAM: The probability of symbol error is 
(2) 
Where 
The average bit probability error is 
(3) 
M-ary BOK: The probability of symbol error is
International Journal of Research in Advent Technology, Vol.2, No.5, May 2014 
E-ISSN: 2321-9637 
381 
(4) 
whereγ = γb log(M)/ log(2) is the SNR per symbol 
and γb is the received SNR per information bit. 
The average bit probability error is 
(5) 
5. RECEIVER STRUCTURE 
We have generated the different multipath 
components (MPCs) of the same transmitted pulse 
in the WBAN channel. Number of multipath 
components depends upon time on which signal is 
generated. WBAN receiver can take advantage of 
diversity by using Rake combiner to improve 
performance of the system. The basic version of the 
Rake receiver consists of multiple correlators 
(fingers) where each of the fingers can detect/extract 
the signal from one of the multipath components 
provided by the channel. Different strategies for 
exploiting this temporal diversity include Selection 
Diversity, Partial Diversity. In this work, we have 
used all rake, partial rake and selective rake 
receiver[3]. Selective and partial rake have been 
used with the less and more number of taps. The A-Rake 
(All rake) structure used here to indicate the 
receiver with unlimited resources (fingers or 
correlators) and instant adaptability. In A-Rake 
number of receivers required is Td * Fs where the 
time duration of impulse is Td and Fs is sample rate 
of signal. Since the number of resolvable multipath 
components increases with the spreading bandwidth, 
the number of correlators required for the A-Rake 
receiver may become quite large for WBAN 
channels up to 20,000. Two sub-optimum reduced 
complexity rake structures i.e., S-Rake (Selective 
rake) and P-Rake (Partial rake) have been proposed 
here for performance evaluation. The S-Rake selects 
the best 16/32 taps (a subset of the available 
resolved multipath components) and P-Rake selects 
the first 16/32 taps (which are not necessarily the 
best) then combines the selected subset using MRC. 
The combiner produces a decision variable at its 
output which is then processed by a detector. Thus, 
the detector performance can be considered to be 
based on this equivalent channel created by the 
cascade of the radio channel and MRC rake 
structures. 
6. RESULTS AND DISCUSSIONS 
Bit Error Rate (BER) specifies the number of error 
bits occurs in transmitting signal in one second .In 
this work , extensive simulations have been carried 
out to observe the variations of the BER 
performance for various M-ary modulations for 
different carrier frequencies within the constraints 
specified by NICTA. In these graphs ,y-axis 
represents bit error rate and x-axis represents signal 
to noise ratio(SNR).BER vs SNR has been plotted at 
different carrier frequency for different modulation 
scheme as follow: 
6.1 SNR vs BER for M–ary PAM 
M-ary PAM (Pulse Amplitude Modulation) is 
digital modulation scheme where 
,here k represents number of 
bits/symbol and M represents number of symbols. In 
these modulating scheme, k binary digits are taken 
at a time for mapping .The modulation scheme in 
which amplitude of the pulse varies in accordance 
with the modulating signal is called PAM. 
6.1.1 SNR vs BER for 16-PAM : 
In 16-PAM , number of bits/symbol is 4 and number 
of symbols are 16. In figure2, 16-PAM is compared 
for various rake taps(i.e. All rake ,Partial rake and 
Selective rake) and for different carrier 
frequencies(i.e. 820Mhz,1900Mhz and 2400Mhz). 
10-1 
10-2 
X = 1 0 
Y = . 5 1 7 1 
0 5 10 15 20 25 30 
100 
S I G N A L T O N O I S E R A T I O ( E b / N o ) 
B I T E R R O R R A T E 
S N R v s B E R f o r 1 6 - P A M ( c a r r i e r f r e q . = 8 2 0 M H z ) 
A L L R A K E 
S E L E C T I V E R A K E ( M O R E T A P S ) 
S E L E C T I V E R A K E ( L E S S T A P S) 
P A R T I A L R A K E ( M O R E T A P S ) 
P A R T I A L R A K E ( L E S S T A P S ) 
X = 2 0 
Y = . 0 1 6 1 7 
I D E A L 
B E H A V I O U R
International Journal of Research in Advent Technology, Vol.2, No.5, May 2014 
E-ISSN: 2321-9637 
382 
100 
10-1 
-2 
0 5 10 15 20 25 30 
10 
S I G N A L T O N O I S E R A T I O ( E b / N o ) 
B I T E R R O R R A T E 
S N R v s B E R f o r 1 6 -P A M ( c a r r i e r f r e q . = 1 9 0 0 M H z ) 
A L L R A K E 
S E L E C T I V E R A K E ( M O R E T A P S ) 
S E L E C T I V E R A K E ( M O R E T A P S ) 
P A R T I A L R A K E ( M O R E T A P S ) 
P A R T I A L R A K E ( L E S S T A P S ) 
X = 2 0 
Y = . 0 1 5 0 2 
X = 1 0 
Y = . 5 1 2 9 
I D E A L 
B E H A V I O U R 
10-1 
10-2 
10-3 
0 5 10 15 20 25 30 
100 
S I G N A L T O N O I S E R A T I O ( E b / N o ) 
B I T E R R O R R A T E 
S N R v s B E R f o r 1 6 - P A M ( c a r r i e r f r e q . = 2 4 0 0 M H z ) 
A L L R A K E 
S E L E C T I V E R A K E ( M OR E T A P S) 
S E L E CT I V E R A K E ( L E S S T A P S ) 
P A R T I A L R A K E ( M O R E T A P S ) 
P A R T I A L R A K E ( L E S S T A P S ) 
X = 2 0 
Y = . 0 0 6 7 
X = 1 0 
Y = . 4 7 0 6 
I D E A L 
B E H AV I O U R 
Figure2: BER performance for 16-PAM for different carrier 
frequencies. 
Table1: Comparison of BER of 16-PAM for different carrier 
frequencies. 
Carrier 
S/N 
Bit error 
frequency 
ratio(x) 
rate(y) 
820 10 0.5171 
1900 10 0.5129 
2400 10 0.4706 
820 20 0.01617 
1900 20 0.01502 
2400 20 0.006784 
From above graphs (figure2) it is clear that 
performance of partial rake is poor than selective 
rake.Table1 concludes that minimum value of BER 
for 16-PAM for selective rake is at 2400Mhz of 
carrier frequency which makes it most suitable for 
this modulating scheme. 
6.1.2 SNR vs BER for 32-PAM : 
In 32-PAM, number of bits/symbol is 5 and 
numbers of symbols are 32 . In figure3, 32-PAM is 
plotted for different rake taps at different carrier 
frequencies. The table 2 evaluates BER performance 
for different carrier frequencies for 32-PAM. 
10-1 
10-2 
0 5 10 15 20 25 30 
100 
S I G N A L T O N O I S E R A T I O ( E b / N o ) 
B I T E R R O R R A T E 
S N R v s B E R f o r 3 2 - P A M ( ca r r i e r f r e q . = 8 2 0 M H z ) 
A L L R A K E 
S E L E C T I V E R A K E ( M O R E T A P S ) 
S E L E C T I V E R A K E ( L E S S T A P S ) 
P A R T I A L R A K E ( M O R E T A P S ) 
P A R T I A L R A K E ( L E S S T A P S ) 
X= 2 0 
Y = .1 7 8 
X = 1 0 
Y = . 7 1 6 5 
I D E A L 
B E H A V I O U R 
10-1 
10-2 
X= 1 0 
Y = . 7 1 3 8 
0 5 10 15 20 25 30 
100 
S I G N A L T O N O I S E R A T I O ( E b / N o ) 
B I T E R R O R R A T E 
S N R v s B E R f o r 3 2 - P A M ( c a r r i e r f r e q . = 1 9 0 0 M H z ) 
A L L R A K E 
SE L E C T I V E R A K E ( M O R E T A P S ) 
S E L E C T I V E R A K E ( L E S S T A P S ) 
P A R T I A L R A K E ( M O R E T A P S ) 
P A R T I A L R A K E ( L E S S T A P S ) 
I D E A L 
B E H A V I O U R 
X = 1 0 
Y = . 1 7 3 2 
10-1 
10-2 
0 5 10 15 20 25 30 
100 
S I G N A L T O N O I S E R A T I O ( E b / N o ) 
B I T E R R O R R A T E 
S N R v s B E R f o r 3 2 - P A M ( c a r r i e r f r e q . = 2 4 0 0 M H z ) 
A L L R A K E 
S E L E C T I V E R A K E ( M O R E T A P S ) 
S E L EC T I V E R A K E ( M O R E T A P S ) 
P A R T I A L R A K E ( L E S S T A P S ) 
P A R T I A L R A K E ( L E S S T A P S ) X = 1 0 
Y = . 6 8 5 7 
X = 2 0 
I D E A L Y = .1 2 9 6 
B E H A V I O U R 
Figure3: BER performance of 32-PAM for different carrier 
frequencies. 
Table2: Comparison of BER of 32-PAM for different carrier 
frequencies. 
Carrier 
frequency 
S/N 
ratio(x) 
Bit error 
rate (y) 
820 10 0.7165 
1900 10 0.7138 
2400 10 0.6857 
820 20 0.178 
1900 20 0.1732 
2400 20 0.1296
International Journal of Research in Advent Technology, Vol.2, No.5, May 2014 
E-ISSN: 2321-9637 
383 
In figure3,selective rake gives better performance 
than partial rake. As concluded from table 2, 
2400Mhz of carrier frequency for selective rake is 
better than 820Mhz and 1900Mhz ,as with this 
frequency the value of bit error rate is most 
effective. 
6.1.3 SNR vs BER for 64-PAM : 
In 64-PAM, number of bits/symbol are 6 and 
number of symbols are 64.The 64-PAM is compared 
for different carrier frequencies and various rake 
taps and corresponding results are shown in table3. 
Table3: Comparison of BER of 64-PAM for different carrier 
frequencies. 
Carrier 
S/N 
Bit error 
frequency 
ratio(x) 
rate(y) 
820 10 .8423 
1900 10 .8407 
2400 10 .8243 
820 20 .4595 
1900 20 .4545 
2400 20 .4053 
The selective rake is better than partial rake for 64- 
PAM as shown in figure4 .The table 3 concludes the 
best performance of 2400Mhz of carrier frequency 
for selective rake, with least values of bit error rate 
as compares to 820Mhz and 1900Mhz. 
From above results it is clear that for M-ary PAM’s 
16-PAM shows best results with selective rake at 
2400Mhz carrier frequency. 
6.2 SNR vs BER for M-ary BOK 
M-ary BOK is also a digital modulation scheme in 
which symbols are spaced on M orthogonal axes in 
the modulation symbol space such that probability 
of symbol errors follows the M-ary bi-orthogonal 
modulation. here k represents number of bits/symbol 
and M represents number of symbols. 
6.2.1 SNR vs BER for 16-BOK : 
In figre4,simulation graphs for 16-BOK( i.e. for 
total 16 symbols and 4 bits/symbol) are plotted for 
different rake taps (i.e. All rake, Partial rake and 
selective rake) and for different carrier 
frequencies(i.e.820Mhz,1900Mhz and 2400Mhz). 
10-1 
10-2 
I D E A L 
B E H A V I O U R 
0 5 10 15 20 25 30 
100 
S I G N A L T O N O I S E R A T I O ( E b / N o ) 
B I T E R R O R R A T E 
S N R v s B E R f o r 1 6 - B O K ( c a r r i e r f r e q . = 8 2 0 M H z ) 
A L L R A K E 
S E L E C T I V E R A K E ( M O R E T A P S ) 
S E L E C T I V E R A K E ( L E S S T A P S ) 
P A R T I A L R A K E ( M O R E T A P S ) 
P A R T I A L R A K E ( L E S S T A P S ) 
X = 1 0 
Y =. 0 3 6 2 2 
0 
10 
-1 
10-2 
I D E A L 
B E H A V I O U R 
0 5 10 15 20 25 30 
10 
S I G N A L T O N O I S E R A T I O ( E b / N o ) 
B I T E R R O R R A T E 
S N R v s B E R f o r 1 6 - B O K ( c a r r i e r f r e q . = 1 9 0 0 M H z ) 
A L L R A K E 
S E L E C T I V E R A K E ( M O R E T A P S ) 
S E L E C T I V E R A K E ( L E S S T A P S ) 
P A R T I A L R A K E ( M O R E T A P S ) 
P A R T I A L R A K E ( L E S S T A P S ) 
X = 1 0 
Y = .0 3 5 6 4 
0 
10 
-1 
10 
-2 
I D E A L 
B E H A V I O U R 
0 5 10 15 20 25 30 
10 
S I G N A L T O N O I S E R A T I O ( E b / N o ) 
B I T E R R O R R A T E 
S N R v s B E R f o r 1 6 - B O K ( c a r r i e r f r e q . = 2 4 0 0 M H z ) 
A L L R A K E 
S E L E C T I V E R A K E ( M O R E T A P S ) 
S E L E C T I V E R A K E ( L E S S T A P S ) 
P A R T I A L R A K E ( M O R E T A P S ) 
P A R T I A L R A K E ( L E S S T A P S ) 
X= 1 0 
Y = .0 3 0 3 5 
Figure4: BER performance of 16-BOK for different carrier 
frequencies. 
Table4: Comparison of BER of 16-BOK for different carrier 
frequencies 
. 
Carrier 
S/N 
Bit error 
frequency 
ratio(x) 
rate(y) 
820 10 .03622 
1900 10 .03564 
2400 10 .03035 
820 20 .001903 
1900 20 .001839 
2400 20 .001308
International Journal of Research in Advent Technology, Vol.2, No.5, May 2014 
E-ISSN: 2321-9637 
384 
In figure4,selective rake gives better performance 
than partial rake. As concluded from table 4, 
2400Mhz of carrier frequency for selective rake is 
better than 820Mhz and 1900Mhz ,as with this 
frequency the value of bit error rate is most 
effective. 
6.3.2 SNR vs BER for 32-BOK : 
Extensive simulations has been carried out to obtain 
the graphs of figure6 for 32-BOK ( i.e. M =32 and 
k=5) at different carrier frequencies for different 
rake taps. 
. 
0 
10-1 
10-2 
I D E A L 
B E H A V I O U R 
0 5 10 15 20 25 30 
10 
S I G N A L T O N O I S E R A T I O ( E b / N o ) 
B I T E R R O R R A T E 
S N R v s B E R f o r 3 2 - B O K ( c a r r i e r f r e q . = 8 2 0 M H z ) 
A L L R A K E 
S E L E C T I V E R A K E ( M O R E T A P S ) 
S E L E C T I V E R A K E ( L E S S T A P S ) 
P A R T I A L R A K E ( M O R E T A P S ) 
P A R T I A L R A K E ( L E S S T A P S ) 
X = 1 0 
Y = .0 3 1 4 8 
0 
10 
-1 
10 
-2 
I D E A L 
B E H A V I O U R 
0 5 10 15 20 25 30 
10 
S I G N A L T O N O I S E R A T I O ( E b / N o ) 
B I T E R R O R R A T E 
S N R v s B E R f o r 3 2 - B O K ( c a r r i e r f r e q . = 1 9 0 0 M H z) 
A L L R A K E 
S E L E C T I V E R A K E ( M O R E T A P S ) 
S E L E C T I V E R A K E ( L E S S T A P S ) 
P A R T I A L R A K E ( M O R E T A P S ) 
P A R T I A L R A K E ( L E S S T A P S ) 
X= 1 0 
Y = . 0 3 0 9 1 
10-1 
10-2 
I D E A L 
B E H A V I O U R 
0 5 10 15 20 25 30 
100 
S I G N A L T O N O I S E R A T I O ( E b / N o ) 
B I T E R R O R R A T E 
S N R v s B E R f o r 3 2 - B O K ( c a r r i e r f r e q . = 2 4 0 0 M H z) 
A L L R A K E 
S E L E C T I V E R A K E ( M O R E T A P S ) 
S E L E C T I V E R A K E ( L E S S T A P S ) 
P A R T I A L R A K E ( M O R E T A P S ) 
P A R T I A L R A K E ( L E S S T A P S ) 
X = 1 0 
Y = . 0 2 5 6 7 
Figure5: BER performance of 32-BOK for different carrier 
frequencies. 
Table5: Comparison of BER of 32-BOK for different carrier 
frequencies . 
Carrier 
frequency 
S/N 
ratio 
(x) 
Bit error rate 
(y) 
820 10 .03148 
1900 10 .03091 
2400 10 .02567 
820 20 .0009813 
1900 20 .0009421 
2400 20 .0006272 
It is concluded from table 5 that performance of 
partial rake for 2400Mhz of carrier frequency is 
better than that for partial rake and for frequencies 
820mhz and 1900Mhz. 
6.3.3 SNR vs BER for 64-BOK : 
In table 6, 64-BOK( i.e. M=64 and k=6 ) is 
compared for different rake taps(i.e. All rake 
,selective rake and partial rake) at different carrier 
frequencies (820Mhz,1900Mhz and 2400Mhz). . 
Table6: Comparison of BER of 64-BOK for different carrier 
frequencies . 
Carrier 
frequency 
S/N 
ratio 
(x) 
Bit error rate 
(y) 
820 10 .02704 
1900 10 .02647 
2400 10 .02143 
820 20 .0004869 
1900 20 .0004642 
2400 20 .0002881 
It is clear that behaviour of BER for selective rake is 
more effective than partial rake and for 2400 Mhz of 
carrier frequency it shows best performance. 
From above results it is clear that 64-BOK shows 
best result from all other M-ary BOK’s selective 
rake at 2400 Mhz carrier frequency. 
7. CONCLUSION 
The Human Body Area Network Channel requires 
an efficient modulating scheme to carry out its 
signal processing so that there is minimum losses. 
So in this work, the Performance evaluation of 
different digital modulations at different carrier 
frequency is done for Human BAN channel model. 
The performance of various rake receivers i.e. A-rake, 
S-rake and P-rake has been evaluated and 
compared for optimum values. From the simulations 
results it has been obtained that performance of 
selective rake is better than the partial rake. The 64-
International Journal of Research in Advent Technology, Vol.2, No.5, May 2014 
E-ISSN: 2321-9637 
385 
BOK shows the best BER results as compared with 
other M-ary modulating scheme and the 
performance is more effective at 2400 Mhz. of 
carrier frequency. So 64-BOK with selective rake at 
2400Mhz of carrier frequency provides most 
efficient performance of Human BAN channel. 
Thus, the results obtained will provide great help in 
designing the effective Human BAN based products 
in the near future. 
8. ACKNOWLEDGEMENTS 
We express our profound gratitude and deep regard to our 
guide for his exemplary guidance, monitoring and 
constant encouragement throughout the course of this 
project . .We owe our debt of gratitude to our department 
for the vision and foresight which inspired us to conceive 
this work . Lastly, we thank almighty, our parents and 
teachers for their encouragement without which this 
project would not be possible. 
9. REFERENCES 
[1] K. Y. Yazdandoost and K. Sayrafian-Pour, 
“Channel Model for Body Area Network 
(BAN),” IEEE802.15.6 technical contribution, 
document ID: 15-08-0780-09-0006, 27 April, 
2009, pp. 41-56.. 
[2] Huan-Bang Li, Ryuji Kohno “12 Body Area 
Network and Its Standardization at IEEE 
802.15.BAN”. 
[3] V. KAUR, J. MALHOTRA: Performance 
Evaluation of M-ary Modulations through 
WBAN Channel IMACST: VOLUME 2. 
[4] “Simulative investigations of Wireless Body 
Area networks through varied channel 
conditions” by Jyoteesh Malhotra , Rachita and 
Sukhraj kaur.(IJCA, Volume-74) 
[5] K.Y. Yazdandoost et al.,”Channel model for 
body area network(BAN),”(IEEE P802.15-08- 
0033-00-0006, 14 Jan.,2008). 
[6] Jyoteesh Malhotra, Ajay K. Sharma and R.S. 
Kaler “On the performance of Rake receivers 
for the UWB systems in a realistic Exponenetial 
– Lognormal model. 
[7] Performance analysis of Rake receiver with M-BOK 
Keying in DS-UWB systems by Wu Lan 
and Yu Ningmei. 
[8] David J. Ruprecht,” Body area networks and 
body sensor networks”. 
[9] P.coronel, W. Schott,K. Schwieger, E. 
Zimmermann, T. Zasowski, H. Maass, 
I.Oppermann, M. Ran, and P. 
Chevillat,”wireless body area and sensor 
networks”, in Proc. Wireless World Research 
Forum(WWRF),Briefings, Dec. 2004. 
[10] K.Sayrafian Company[NIST],” A Statistical 
Path loss model for MICS” doc ID: IEEE 
802.15-08-0519-01-0006. 
[11] Erik Karulf,”Body area network”: A survey 
paper written under guidance of Prof. Raj Jain. 
[12] Jaamil Y. Khan and Mehmet R. Yuce,” 
Wireless body area network for Medical 
Applications”. 
[13] Lu Shi, Ming Li ,Shucheng Yu and Jiawei 
Yuan, “ BANA-Body area network 
authentication exploiting channel 
characteristics. 
[14] David B.Smith, Tharaka Lamahewa, Leif W. 
Hanlen, Dino Miniutti(NICTA), “ Simple 
prediction based power control for the on-body 
area communications channel”.

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Paper id 252014137

  • 1. International Journal of Research in Advent Technology, Vol.2, No.5, May 2014 E-ISSN: 2321-9637 379 Performance Investigation of M-ARY Modulations through Human Body Area Channel Sukhraj Kaur1 , Rachita2 , Dr.Jyoteesh Malhotra3 ECE Department1, 2, 3, GNDU RC-Jalandhar1, 2, 3 Email: sukhrajkaur91@gmail.com1 , rachitasharma92@gmail.com2 , jyoteesh@gmail.com3 Abstract-- In this paper, the performance of M-ary modulations have been evaluated by carrying out extensive simulations at different carrier frequencies through Human Body Area Channel. Rayleigh and Weibull distributions have been used for generating fading power profiles[1] .The bit error rate has been obtained by using M-ary modulation schemes i.e. M-ary PAM(Pulse Amplitude Modulation) and M-ary BOK(Bi-orthogonal Keying) in the Human Body Area Network channel. With the aid of these graphs, bit error rate performance evaluation of M-ary modulations at different values of Carrier frequency has been done and the performance of various Rake receivers have been taken into account. The values of the carrier frequency are chosen within the constraints specified by the NICTA. Through simulative investigations of Bit Error Rate (BER), it has been found that the best suitable value of carrier frequency by using M-ary modulation in the Human BAN channel is 2400 Mhz[4]. It has been observed that the performance of selective rake receiver (for optimum number of fingers) is better than partial rake receiver for both modulations. Index Terms – M-ary Modulations; Bit Error Rate; Signal to Noise Ratio (SNR) 1. INTRODUCTION The Wireless Body Area Networks[1] is emerging as a new technology in medical and Consumer Electronics applications. We can do real time monitoring of patients with the help of small wearable and implantable sensors. These sensors are designed to measure and monitor events and physical properties such as temperature, pressure, movement, pulse rate and location. It has the smallest coverage area only surrounding the body of a human. It uses the ISM frequency band which is approved band of Regulatory and Medical authorities for in or around human body. The basic function of WBAN is to provide effective and reliable networking for transmission of data, voice or picture through wireless communication links. The remainder of this paper is organized as follows: In the following section the simulation methodology is given which explains how the curves have been drawn for SNR and BER. Section 3 and section 4 gives us the information about signaling scheme and simulation parameter respectively. Receiver structure is explained in section 5. The results and are given in section 6 followed by conclusion in section 7. 2. SIMULATION METHODOLOGY With the help of above digital modulation techniques various graphs are plotted between Signal to Noise Ratio (SNR) and Bit Error Rate (BER).by using the following steps[1]. Step1: Generate power profile ([signal,time_samp,mean_path_loss] = generate_power_profile_wmban(), of Human BAN channel ( ). Step2: Calculate absolute value of signal. Step3: Calculate received SNR of each sample of power profile with the help of transmitted SNR and mean_path_loss. Step4: Calculate received signal to noise ratio for various rake taps ( all-rake, partial rake, selective rake). Step5: (a) Calculate BER for BPSK receiver (all-rake, partial rake, selective rake). Step6: BER vs SNR curves are plotted for BPSK at different carrier frequencies.
  • 2. International Journal of Research in Advent Technology, Vol.2, No.5, May 2014 E-ISSN: 2321-9637 380 Fig. 1. Flow chart for generation of SNR vs BER 3. SIGNALLING SCHEME An information carrying signal is generally limited by its channel. The bit streams to be transmit over channel are inherently discrete time and all physical media are continuous time in nature; hence modulation is required to represent the bit stream as a continuous time signal for transmission. In other word modulation is the process of varying signal so that it carry information. There are various possible modulation options depending on the range, transmission and reception power, quality of service requirements, regulatory requirements, hardware complexity, data rate, reliability of channel, and capacity. Therefore, it is crucial to choose the right modulation for the right purpose. Here we use compares M-ary modulating schemes[3]. In these modulations mapping is generally performed by taking blocks of binary digits at a time from sequence {an} and selecting one of symbols from . (1) Where and M-PAM - Pulse amplitude modulation is the digital modulation in which the amplitude of the modulating signal vary in accordance with the carrier signal. In this carrier signal is in form of pulses which is modulated by digital modulating signal. With M=16,16-PAM allows 4 bits per symbol and with M=32,32-PAM allows 5 bits per symbol and for M=64,64-PAM allows 6 bits per symbol. M-BOK – M-BOK stands for M-ary Bi-Orthogonal Keying modulation in which a set of M moderate length ternary codes (−1, 0, +1 ) is used to represent M symbols. . The M-BOK symbols are spaced on M orthogonal axes in the modulation symbol space, so the probability of symbol errors follows that of M-ary bi-orthogonal modulation. 4. SIMULATION PARAMETERS In order to evaluate the performance of WBAN channel under varied channel conditions, some important and effective simulation parameters have been identified in this work. They include: 4.1. Carrier frequency A carrier signal is a transmitted electromagnetic pulse or wave at a steady base frequency of alternation on which information can be imposed by increasing signal strength, varying the base frequency, varying the wave phase, or other means. This variation is called modulation. A carrier frequency[4] is frequency of carrier signal. 4.2. BIT ERRROR RATE The bit error rate is the ratio of number of error bits to the total transferred bits during a time interval for which the performance of channel is measured. It is also called bit error ratio (BER)[3].The probability of bit error rate is an approximate estimation of bit error rate is calculated as follows: M-ary PAM: The probability of symbol error is (2) Where The average bit probability error is (3) M-ary BOK: The probability of symbol error is
  • 3. International Journal of Research in Advent Technology, Vol.2, No.5, May 2014 E-ISSN: 2321-9637 381 (4) whereγ = γb log(M)/ log(2) is the SNR per symbol and γb is the received SNR per information bit. The average bit probability error is (5) 5. RECEIVER STRUCTURE We have generated the different multipath components (MPCs) of the same transmitted pulse in the WBAN channel. Number of multipath components depends upon time on which signal is generated. WBAN receiver can take advantage of diversity by using Rake combiner to improve performance of the system. The basic version of the Rake receiver consists of multiple correlators (fingers) where each of the fingers can detect/extract the signal from one of the multipath components provided by the channel. Different strategies for exploiting this temporal diversity include Selection Diversity, Partial Diversity. In this work, we have used all rake, partial rake and selective rake receiver[3]. Selective and partial rake have been used with the less and more number of taps. The A-Rake (All rake) structure used here to indicate the receiver with unlimited resources (fingers or correlators) and instant adaptability. In A-Rake number of receivers required is Td * Fs where the time duration of impulse is Td and Fs is sample rate of signal. Since the number of resolvable multipath components increases with the spreading bandwidth, the number of correlators required for the A-Rake receiver may become quite large for WBAN channels up to 20,000. Two sub-optimum reduced complexity rake structures i.e., S-Rake (Selective rake) and P-Rake (Partial rake) have been proposed here for performance evaluation. The S-Rake selects the best 16/32 taps (a subset of the available resolved multipath components) and P-Rake selects the first 16/32 taps (which are not necessarily the best) then combines the selected subset using MRC. The combiner produces a decision variable at its output which is then processed by a detector. Thus, the detector performance can be considered to be based on this equivalent channel created by the cascade of the radio channel and MRC rake structures. 6. RESULTS AND DISCUSSIONS Bit Error Rate (BER) specifies the number of error bits occurs in transmitting signal in one second .In this work , extensive simulations have been carried out to observe the variations of the BER performance for various M-ary modulations for different carrier frequencies within the constraints specified by NICTA. In these graphs ,y-axis represents bit error rate and x-axis represents signal to noise ratio(SNR).BER vs SNR has been plotted at different carrier frequency for different modulation scheme as follow: 6.1 SNR vs BER for M–ary PAM M-ary PAM (Pulse Amplitude Modulation) is digital modulation scheme where ,here k represents number of bits/symbol and M represents number of symbols. In these modulating scheme, k binary digits are taken at a time for mapping .The modulation scheme in which amplitude of the pulse varies in accordance with the modulating signal is called PAM. 6.1.1 SNR vs BER for 16-PAM : In 16-PAM , number of bits/symbol is 4 and number of symbols are 16. In figure2, 16-PAM is compared for various rake taps(i.e. All rake ,Partial rake and Selective rake) and for different carrier frequencies(i.e. 820Mhz,1900Mhz and 2400Mhz). 10-1 10-2 X = 1 0 Y = . 5 1 7 1 0 5 10 15 20 25 30 100 S I G N A L T O N O I S E R A T I O ( E b / N o ) B I T E R R O R R A T E S N R v s B E R f o r 1 6 - P A M ( c a r r i e r f r e q . = 8 2 0 M H z ) A L L R A K E S E L E C T I V E R A K E ( M O R E T A P S ) S E L E C T I V E R A K E ( L E S S T A P S) P A R T I A L R A K E ( M O R E T A P S ) P A R T I A L R A K E ( L E S S T A P S ) X = 2 0 Y = . 0 1 6 1 7 I D E A L B E H A V I O U R
  • 4. International Journal of Research in Advent Technology, Vol.2, No.5, May 2014 E-ISSN: 2321-9637 382 100 10-1 -2 0 5 10 15 20 25 30 10 S I G N A L T O N O I S E R A T I O ( E b / N o ) B I T E R R O R R A T E S N R v s B E R f o r 1 6 -P A M ( c a r r i e r f r e q . = 1 9 0 0 M H z ) A L L R A K E S E L E C T I V E R A K E ( M O R E T A P S ) S E L E C T I V E R A K E ( M O R E T A P S ) P A R T I A L R A K E ( M O R E T A P S ) P A R T I A L R A K E ( L E S S T A P S ) X = 2 0 Y = . 0 1 5 0 2 X = 1 0 Y = . 5 1 2 9 I D E A L B E H A V I O U R 10-1 10-2 10-3 0 5 10 15 20 25 30 100 S I G N A L T O N O I S E R A T I O ( E b / N o ) B I T E R R O R R A T E S N R v s B E R f o r 1 6 - P A M ( c a r r i e r f r e q . = 2 4 0 0 M H z ) A L L R A K E S E L E C T I V E R A K E ( M OR E T A P S) S E L E CT I V E R A K E ( L E S S T A P S ) P A R T I A L R A K E ( M O R E T A P S ) P A R T I A L R A K E ( L E S S T A P S ) X = 2 0 Y = . 0 0 6 7 X = 1 0 Y = . 4 7 0 6 I D E A L B E H AV I O U R Figure2: BER performance for 16-PAM for different carrier frequencies. Table1: Comparison of BER of 16-PAM for different carrier frequencies. Carrier S/N Bit error frequency ratio(x) rate(y) 820 10 0.5171 1900 10 0.5129 2400 10 0.4706 820 20 0.01617 1900 20 0.01502 2400 20 0.006784 From above graphs (figure2) it is clear that performance of partial rake is poor than selective rake.Table1 concludes that minimum value of BER for 16-PAM for selective rake is at 2400Mhz of carrier frequency which makes it most suitable for this modulating scheme. 6.1.2 SNR vs BER for 32-PAM : In 32-PAM, number of bits/symbol is 5 and numbers of symbols are 32 . In figure3, 32-PAM is plotted for different rake taps at different carrier frequencies. The table 2 evaluates BER performance for different carrier frequencies for 32-PAM. 10-1 10-2 0 5 10 15 20 25 30 100 S I G N A L T O N O I S E R A T I O ( E b / N o ) B I T E R R O R R A T E S N R v s B E R f o r 3 2 - P A M ( ca r r i e r f r e q . = 8 2 0 M H z ) A L L R A K E S E L E C T I V E R A K E ( M O R E T A P S ) S E L E C T I V E R A K E ( L E S S T A P S ) P A R T I A L R A K E ( M O R E T A P S ) P A R T I A L R A K E ( L E S S T A P S ) X= 2 0 Y = .1 7 8 X = 1 0 Y = . 7 1 6 5 I D E A L B E H A V I O U R 10-1 10-2 X= 1 0 Y = . 7 1 3 8 0 5 10 15 20 25 30 100 S I G N A L T O N O I S E R A T I O ( E b / N o ) B I T E R R O R R A T E S N R v s B E R f o r 3 2 - P A M ( c a r r i e r f r e q . = 1 9 0 0 M H z ) A L L R A K E SE L E C T I V E R A K E ( M O R E T A P S ) S E L E C T I V E R A K E ( L E S S T A P S ) P A R T I A L R A K E ( M O R E T A P S ) P A R T I A L R A K E ( L E S S T A P S ) I D E A L B E H A V I O U R X = 1 0 Y = . 1 7 3 2 10-1 10-2 0 5 10 15 20 25 30 100 S I G N A L T O N O I S E R A T I O ( E b / N o ) B I T E R R O R R A T E S N R v s B E R f o r 3 2 - P A M ( c a r r i e r f r e q . = 2 4 0 0 M H z ) A L L R A K E S E L E C T I V E R A K E ( M O R E T A P S ) S E L EC T I V E R A K E ( M O R E T A P S ) P A R T I A L R A K E ( L E S S T A P S ) P A R T I A L R A K E ( L E S S T A P S ) X = 1 0 Y = . 6 8 5 7 X = 2 0 I D E A L Y = .1 2 9 6 B E H A V I O U R Figure3: BER performance of 32-PAM for different carrier frequencies. Table2: Comparison of BER of 32-PAM for different carrier frequencies. Carrier frequency S/N ratio(x) Bit error rate (y) 820 10 0.7165 1900 10 0.7138 2400 10 0.6857 820 20 0.178 1900 20 0.1732 2400 20 0.1296
  • 5. International Journal of Research in Advent Technology, Vol.2, No.5, May 2014 E-ISSN: 2321-9637 383 In figure3,selective rake gives better performance than partial rake. As concluded from table 2, 2400Mhz of carrier frequency for selective rake is better than 820Mhz and 1900Mhz ,as with this frequency the value of bit error rate is most effective. 6.1.3 SNR vs BER for 64-PAM : In 64-PAM, number of bits/symbol are 6 and number of symbols are 64.The 64-PAM is compared for different carrier frequencies and various rake taps and corresponding results are shown in table3. Table3: Comparison of BER of 64-PAM for different carrier frequencies. Carrier S/N Bit error frequency ratio(x) rate(y) 820 10 .8423 1900 10 .8407 2400 10 .8243 820 20 .4595 1900 20 .4545 2400 20 .4053 The selective rake is better than partial rake for 64- PAM as shown in figure4 .The table 3 concludes the best performance of 2400Mhz of carrier frequency for selective rake, with least values of bit error rate as compares to 820Mhz and 1900Mhz. From above results it is clear that for M-ary PAM’s 16-PAM shows best results with selective rake at 2400Mhz carrier frequency. 6.2 SNR vs BER for M-ary BOK M-ary BOK is also a digital modulation scheme in which symbols are spaced on M orthogonal axes in the modulation symbol space such that probability of symbol errors follows the M-ary bi-orthogonal modulation. here k represents number of bits/symbol and M represents number of symbols. 6.2.1 SNR vs BER for 16-BOK : In figre4,simulation graphs for 16-BOK( i.e. for total 16 symbols and 4 bits/symbol) are plotted for different rake taps (i.e. All rake, Partial rake and selective rake) and for different carrier frequencies(i.e.820Mhz,1900Mhz and 2400Mhz). 10-1 10-2 I D E A L B E H A V I O U R 0 5 10 15 20 25 30 100 S I G N A L T O N O I S E R A T I O ( E b / N o ) B I T E R R O R R A T E S N R v s B E R f o r 1 6 - B O K ( c a r r i e r f r e q . = 8 2 0 M H z ) A L L R A K E S E L E C T I V E R A K E ( M O R E T A P S ) S E L E C T I V E R A K E ( L E S S T A P S ) P A R T I A L R A K E ( M O R E T A P S ) P A R T I A L R A K E ( L E S S T A P S ) X = 1 0 Y =. 0 3 6 2 2 0 10 -1 10-2 I D E A L B E H A V I O U R 0 5 10 15 20 25 30 10 S I G N A L T O N O I S E R A T I O ( E b / N o ) B I T E R R O R R A T E S N R v s B E R f o r 1 6 - B O K ( c a r r i e r f r e q . = 1 9 0 0 M H z ) A L L R A K E S E L E C T I V E R A K E ( M O R E T A P S ) S E L E C T I V E R A K E ( L E S S T A P S ) P A R T I A L R A K E ( M O R E T A P S ) P A R T I A L R A K E ( L E S S T A P S ) X = 1 0 Y = .0 3 5 6 4 0 10 -1 10 -2 I D E A L B E H A V I O U R 0 5 10 15 20 25 30 10 S I G N A L T O N O I S E R A T I O ( E b / N o ) B I T E R R O R R A T E S N R v s B E R f o r 1 6 - B O K ( c a r r i e r f r e q . = 2 4 0 0 M H z ) A L L R A K E S E L E C T I V E R A K E ( M O R E T A P S ) S E L E C T I V E R A K E ( L E S S T A P S ) P A R T I A L R A K E ( M O R E T A P S ) P A R T I A L R A K E ( L E S S T A P S ) X= 1 0 Y = .0 3 0 3 5 Figure4: BER performance of 16-BOK for different carrier frequencies. Table4: Comparison of BER of 16-BOK for different carrier frequencies . Carrier S/N Bit error frequency ratio(x) rate(y) 820 10 .03622 1900 10 .03564 2400 10 .03035 820 20 .001903 1900 20 .001839 2400 20 .001308
  • 6. International Journal of Research in Advent Technology, Vol.2, No.5, May 2014 E-ISSN: 2321-9637 384 In figure4,selective rake gives better performance than partial rake. As concluded from table 4, 2400Mhz of carrier frequency for selective rake is better than 820Mhz and 1900Mhz ,as with this frequency the value of bit error rate is most effective. 6.3.2 SNR vs BER for 32-BOK : Extensive simulations has been carried out to obtain the graphs of figure6 for 32-BOK ( i.e. M =32 and k=5) at different carrier frequencies for different rake taps. . 0 10-1 10-2 I D E A L B E H A V I O U R 0 5 10 15 20 25 30 10 S I G N A L T O N O I S E R A T I O ( E b / N o ) B I T E R R O R R A T E S N R v s B E R f o r 3 2 - B O K ( c a r r i e r f r e q . = 8 2 0 M H z ) A L L R A K E S E L E C T I V E R A K E ( M O R E T A P S ) S E L E C T I V E R A K E ( L E S S T A P S ) P A R T I A L R A K E ( M O R E T A P S ) P A R T I A L R A K E ( L E S S T A P S ) X = 1 0 Y = .0 3 1 4 8 0 10 -1 10 -2 I D E A L B E H A V I O U R 0 5 10 15 20 25 30 10 S I G N A L T O N O I S E R A T I O ( E b / N o ) B I T E R R O R R A T E S N R v s B E R f o r 3 2 - B O K ( c a r r i e r f r e q . = 1 9 0 0 M H z) A L L R A K E S E L E C T I V E R A K E ( M O R E T A P S ) S E L E C T I V E R A K E ( L E S S T A P S ) P A R T I A L R A K E ( M O R E T A P S ) P A R T I A L R A K E ( L E S S T A P S ) X= 1 0 Y = . 0 3 0 9 1 10-1 10-2 I D E A L B E H A V I O U R 0 5 10 15 20 25 30 100 S I G N A L T O N O I S E R A T I O ( E b / N o ) B I T E R R O R R A T E S N R v s B E R f o r 3 2 - B O K ( c a r r i e r f r e q . = 2 4 0 0 M H z) A L L R A K E S E L E C T I V E R A K E ( M O R E T A P S ) S E L E C T I V E R A K E ( L E S S T A P S ) P A R T I A L R A K E ( M O R E T A P S ) P A R T I A L R A K E ( L E S S T A P S ) X = 1 0 Y = . 0 2 5 6 7 Figure5: BER performance of 32-BOK for different carrier frequencies. Table5: Comparison of BER of 32-BOK for different carrier frequencies . Carrier frequency S/N ratio (x) Bit error rate (y) 820 10 .03148 1900 10 .03091 2400 10 .02567 820 20 .0009813 1900 20 .0009421 2400 20 .0006272 It is concluded from table 5 that performance of partial rake for 2400Mhz of carrier frequency is better than that for partial rake and for frequencies 820mhz and 1900Mhz. 6.3.3 SNR vs BER for 64-BOK : In table 6, 64-BOK( i.e. M=64 and k=6 ) is compared for different rake taps(i.e. All rake ,selective rake and partial rake) at different carrier frequencies (820Mhz,1900Mhz and 2400Mhz). . Table6: Comparison of BER of 64-BOK for different carrier frequencies . Carrier frequency S/N ratio (x) Bit error rate (y) 820 10 .02704 1900 10 .02647 2400 10 .02143 820 20 .0004869 1900 20 .0004642 2400 20 .0002881 It is clear that behaviour of BER for selective rake is more effective than partial rake and for 2400 Mhz of carrier frequency it shows best performance. From above results it is clear that 64-BOK shows best result from all other M-ary BOK’s selective rake at 2400 Mhz carrier frequency. 7. CONCLUSION The Human Body Area Network Channel requires an efficient modulating scheme to carry out its signal processing so that there is minimum losses. So in this work, the Performance evaluation of different digital modulations at different carrier frequency is done for Human BAN channel model. The performance of various rake receivers i.e. A-rake, S-rake and P-rake has been evaluated and compared for optimum values. From the simulations results it has been obtained that performance of selective rake is better than the partial rake. The 64-
  • 7. International Journal of Research in Advent Technology, Vol.2, No.5, May 2014 E-ISSN: 2321-9637 385 BOK shows the best BER results as compared with other M-ary modulating scheme and the performance is more effective at 2400 Mhz. of carrier frequency. So 64-BOK with selective rake at 2400Mhz of carrier frequency provides most efficient performance of Human BAN channel. Thus, the results obtained will provide great help in designing the effective Human BAN based products in the near future. 8. ACKNOWLEDGEMENTS We express our profound gratitude and deep regard to our guide for his exemplary guidance, monitoring and constant encouragement throughout the course of this project . .We owe our debt of gratitude to our department for the vision and foresight which inspired us to conceive this work . Lastly, we thank almighty, our parents and teachers for their encouragement without which this project would not be possible. 9. REFERENCES [1] K. Y. Yazdandoost and K. Sayrafian-Pour, “Channel Model for Body Area Network (BAN),” IEEE802.15.6 technical contribution, document ID: 15-08-0780-09-0006, 27 April, 2009, pp. 41-56.. [2] Huan-Bang Li, Ryuji Kohno “12 Body Area Network and Its Standardization at IEEE 802.15.BAN”. [3] V. KAUR, J. MALHOTRA: Performance Evaluation of M-ary Modulations through WBAN Channel IMACST: VOLUME 2. [4] “Simulative investigations of Wireless Body Area networks through varied channel conditions” by Jyoteesh Malhotra , Rachita and Sukhraj kaur.(IJCA, Volume-74) [5] K.Y. Yazdandoost et al.,”Channel model for body area network(BAN),”(IEEE P802.15-08- 0033-00-0006, 14 Jan.,2008). [6] Jyoteesh Malhotra, Ajay K. Sharma and R.S. Kaler “On the performance of Rake receivers for the UWB systems in a realistic Exponenetial – Lognormal model. [7] Performance analysis of Rake receiver with M-BOK Keying in DS-UWB systems by Wu Lan and Yu Ningmei. [8] David J. Ruprecht,” Body area networks and body sensor networks”. [9] P.coronel, W. Schott,K. Schwieger, E. Zimmermann, T. Zasowski, H. Maass, I.Oppermann, M. Ran, and P. Chevillat,”wireless body area and sensor networks”, in Proc. Wireless World Research Forum(WWRF),Briefings, Dec. 2004. [10] K.Sayrafian Company[NIST],” A Statistical Path loss model for MICS” doc ID: IEEE 802.15-08-0519-01-0006. [11] Erik Karulf,”Body area network”: A survey paper written under guidance of Prof. Raj Jain. [12] Jaamil Y. Khan and Mehmet R. Yuce,” Wireless body area network for Medical Applications”. [13] Lu Shi, Ming Li ,Shucheng Yu and Jiawei Yuan, “ BANA-Body area network authentication exploiting channel characteristics. [14] David B.Smith, Tharaka Lamahewa, Leif W. Hanlen, Dino Miniutti(NICTA), “ Simple prediction based power control for the on-body area communications channel”.