07-10-2012

Advantage of Diversity Increase the system reliability (decrease the bit or packet error rate) Increase the achievable data rate and hence system capacity Increase the coverage area Decrease the required transmit power

Diversity Techniques Instructor: Prof. Rajarshi Mahapatra Dept. of ECE, GEU Email: [email protected] Cabin: ECE Dept.

R. Mahapatra, GEU

Why Diversity?  Average BER in fading channel P   P   p  d   The average BER varies approximately as b



Ps   Ps    p   d 

and

0

SNR with 20 dB, BER  5×10-3 For BER=10-6, we need SNR  57 dB

Ps 

y  hx  n

0

1   P r   SNR  

– BER in wired system varies exponentially with SNR

• which is clearly unpractical,

to make sure that the SNR has a smaller probability of being low.

Wireless Communication

3

1/ SNR

1/ SNR

0

0

1

 p(r )dr   2rdr  SNR

R. Mahapatra, GEU

4

 It is the technique used to compensate for fading channel impairments  Diversity is usually employed to reduce the depth & duration of the fades experienced by a receiver  Diversity is achieved by creating several independent paths between the transmitter and receiver

J k0v  2 1  2  S2  f 2  f1  2 0 2

 Temporal separation can be easily converted into spatial separation  Applied to spatial, temporal, and frequency diversity  Assumptions:

Correlation between the received signals need to be minimized

 Receiver combines the received signal for the several paths using some method  Diversity-combining uses the fact that independent signal paths have a low probability of experiencing deep fades simultaneously

(i) validity of the Wide Sense Stationary Uncorrelated Scatterer (WSSUS) model, (ii) no existence of Line Of Sight (LOS), (iii) exponential shape of the Power Delay Profile (PDP), (iv) isotropic distribution of incident power, and (v) use of omnidirectional antennas. Wireless Communication

Wireless Communication

What is Diversity

 Correlation coefficient of two signals that have a temporal separation τ and a frequency separation f1 − f2.

R. Mahapatra, GEU

1 SNR

 System performance will improve, if we decrease the probability of feed fade.  Diversity is a way to achieve this

Correlation Coefficient

R. Mahapatra, GEU

r

Deep Fade

BER  Probability of deep fade

 to improve the BER

 xy 

2

In Rayleigh fading, the probability of deep fade

• Need more transmit power, more than 1000 times than wired system with achieve same BER

R. Mahapatra, GEU

h P  r2P

1 r2   P SNR

r 2 P   n2

1 2 s

 n2

 n2

Performance is poor, when

in Rayleigh fading the BER decreases only linearly with the SNR

 For example:

2

Need of Diversity



b

Wireless Communication

5

R. Mahapatra, GEU

Wireless Communication

6

1

07-10-2012

What is Diversity

Types of Diversity

 In diversity, the same data has been send over independent fading paths.  These independent paths are combined in some way such that the fading of the resultant signal is reduced  Two types: Microdiversity & Macrodiversity  Microdiversity (simply Diversity): to mitigate the effect of multipath fading

 Spatial diversity: several antenna elements separated in space.  Temporal diversity: transmission of the transmit signal at different times.  Frequency diversity: transmission of the signal on different frequencies.  Angular diversity: multiple antennas (with or without spatial separation) with different antenna patterns.  Polarization diversity: multiple antennas with different polarizations (e.g., vertical and horizontal).

by combining signals received by several antennas

 Macrodiversity (Cooperative Diversity): to mitigate the effects of shadowing from buildings and objects by combining signals received by several base stations or access points R. Mahapatra, GEU

Wireless Communication

7

R. Mahapatra, GEU

Spatial Diversity

8

Temporal Diversity Tx

Rx

SISO

 Use multiple transmit and multiple SIMO Tx Rx receive antennas MISO Rx Tx  A large correlation between signals at antenna elements is undesirable, as it MIMO Tx Rx decreases the effectiveness of diversity  Thus, it is important to to establish a relationship between antenna spacing and the correlation coefficient  Multiple Tx: split power over several Tx antennas. More antennas = more power split  Multiple Rx: collect signal by several Rx antennas. More antennas = more collected power  Rule of thumb: Antenna separation about l/2 is required  Larger separation is required for directional antennas R. Mahapatra, GEU

Wireless Communication

Wireless Communication

9

 As the wireless propagation channel is time variant, signals that are received at different times are uncorrelated.  For “sufficient” decorrelation, the temporal distance must be > coherence distance  Temporal diversity can be realized in different ways Repetition coding: signal is repeated several times Automatic Repeat reQuest (ARQ) Combination of interleaving and coding

 Reduces overall transmission data rate R. Mahapatra, GEU

Wireless Communication

10

Frequency diversity

Angular diversity

 Same signal is transmitted at two (or more) different frequencies  These frequencies are spaced apart by more than the coherence bandwidth of the channel, then

 A fading dip is created when multipath components, come from different directions, interfere destructively.  Angular diversity is usually used in conjunction with spatial diversity; it enhances the decorrelation of signals at closely spaced antenna  Form a directional beam towards the receiver or group of receiver  Smart antennas are antenna arrays with adjustable phase at each antenna element: such arrays form directional antennas that can be steered to the incoming angle of the strongest multipath component

Their fading is approximately independent, and The probability is low that the signal is in a deep fade at both frequencies simultaneously.

 Also wideband signals achieve frequency diversity, like OFDM techniques over wideband (WLAN, WiMax, LTE) R. Mahapatra, GEU

R. Mahapatra, GEU

Wireless Communication

11

R. Mahapatra, GEU

Wireless Communication

12

2

07-10-2012

Polarization diversity

Benefits of Spatial Diversity

Transmit and/or receive with both vertical and horizontal polarization Scattering is independent for each polarization, giving independent paths Limited to 2 transmit and 2 receive diversity Tx polarization diversity: half power for each polarization

 Main advantage of spatial diversity relative to time and frequency diversity is that no additional bandwidth or power is needed  However, the cost of each additional antenna, its RF chain, and the associated signal processing required to modulate or demodulate multiple spatial streams may not be negligible,  A trade-off is often very attractive for a small number of antennas  Follows two techniques

R. Mahapatra, GEU

R. Mahapatra, GEU

Wireless Communication

13

Receive diversity: multiple receive antennas Transmit diversity: multiple transmit antenna

Diversity Gain

 Achieves its performance enhancement by coherently combining the energy received by each of the antennas  Does not rely on statistical diversity between the channels  Achieved even if there is no fading  In case of LOS system, the received SNR increases linearly with the number of receive antennas  Because the channels are all correlated in this case, there is no diversity gain  Array gain is equal to number of Receive antennas  Helps to improve system capacity

Wireless Communication

15

R. Mahapatra, GEU

Diversity Order

 If antennas are sufficiently spaced, system achieve full diversity order N Ps  c1   the average BEP,  If the antennas are not sufficiently spaced or the channel is LOS c2 , c2 are the constant the average BEP, Ps  c2 N d  1 d

R. Mahapatra, GEU

16

Several methods to combine the receiver branches:

Diversity order Nd  Nt Nr

Wireless Communication

Wireless Communication

Combining Scheme

 It is defined as number of uncorrelated channel paths between the transmitter and the receiver  If Nt is the number of Tx antennas and Nr is the number of Rx antennas

R. Mahapatra, GEU

14

Array Gain

Results from the creation of multiple independent channels between the transmitter and the receiver and is a product of the statistical richness of those channels Due to the better (than exponential) pdf p() of the combined SNR Better BER results of the integration Achieve in Receive & Transmit diversity R. Mahapatra, GEU

Wireless Communication

17

Selection combining (SC) Threshold combining Maximal ratio combining (MRC) Equal gain combining (EGC) Mix of the above

 Tradeoff between performance and complexity R. Mahapatra, GEU

Wireless Communication

18

3

07-10-2012

Selection combining (SC)

Selection combining (SC)

 simplest type of combiner  Estimates the instantaneous Transmitter strengths of each of the streams  Select the highest one  Channel path gain to each branch ri exp( j )  Noise PSD at each branch is Ni  instantaneous SNR ri2 / Ni  If noise power N0 is same on all branches, this is equivalent to select largest ri2  N 0  Combiner output SNR = best branch SNR

Select Best Antenna

Rx Filter

 If the BER is determined by noise, then RSSI-driven diversity is the best of all the selection diversity methods, as maximization of the RSSI also maximizes the SNR

RSSI Comparison RSSI

Rx Filter

 If the BER is determined by co- Rx Filter channel interference, then RSSI is no longer a good Tx Sequence selection criterion. The selection-diversity in BERdriven

Demodulator

Correlation Comparison Correlation

Rx Filter

R. Mahapatra, GEU

Wireless Communication

19

 For M branch diversity, the CDF of the combined SNR Probability of best SNR <  = Probability all SNR < 

P

   p 



   p i   exp   i  i  i  1

    pmax  1 ,  2 ,..,  M       p i    M

i 1

 The outage probability for a target o on the ith branch in Rayleigh fading is M M      Pout  0    p i   0    1  exp   0  i 1

i 1





Wireless Communication

20

Outage Probability of Selection Combining in Rayleigh Fading

Selection combining (SC)  The SNR distribution in Rayleigh fading  CDF of M branches is given by

R. Mahapatra, GEU

Demodulator

Most benefit from M=1 (no diversity) to M=2 Benefit reduces as M increases

 

 If the average SNR for all of the branches are the same

     1  exp    

Pout  0   p  R. Mahapatra, GEU

M

i  

0

0





Wireless Communication

21

R. Mahapatra, GEU

Selection combining (SC)   M 1  exp      

  

M 1

  exp    

 Probability of error is calculated by averaging the AWGN formula over the PDF of the SNR 

Pb   Pb    p    d 

  

 Now we use

 The average SNR of the combiner output in i.i.d. Rayleigh fading is 







  p 0







 

  

 d   M 1  exp     0

M 1

  exp    

M  1 d    i 1 i 

R. Mahapatra, GEU

Wireless Communication

23



and

Ps   Ps    p   d 

0

p   

0

M



1  e 





M 1

e



 For BPSK there is no closed form, needs numerical integration (or simulation)  For DPSK we get 

 The average SNR gain increases with M, but not linearly R. Mahapatra, GEU

22

Selection combining (SC)

 The PDF of the combined SNR is given by differentiating Pout w.r.t  p    

Wireless Communication

1 M Pb   e  p     d   2 2 0 R. Mahapatra, GEU

M 1

 1

m

 M  1   m 

 1 m   

m 0

Wireless Communication

24

4

07-10-2012

Average BEP of BPSK under SC with i.i.d. Rayleigh Fading

Maximal Ratio Combining (MRC)  MRC compensates for the phases, and weights the signals from the different antenna branches according to their SNR.  Instead of selecting one branch, all branches are added with weight ai exp(-ji)

Similarly, more gain when moving from M=1 to M=2 Gains reduces as M increases

where i is the phase of the incoming signal on the i-th branch

 If a transmitted symbol is s with unity power |s|2=1  The received symbol at branch i is: s ri exp(ji) + ni  The combined symbol is: S  s M r a  M n a comb

 i 1

i

i



R. Mahapatra, GEU

Wireless Communication

25

Maximal Ratio Combining (MRC)

R. Mahapatra, GEU

Phase Correction

M    ri ai      i 1 M  N o  ai2

 We need to select ai to maximize SNR  Using Swartz inequality we find the ai  ri optimum weights



Phase Correction

Wireless Communication

26

Maximal Ratio Combining (MRC)

Measurement

R. Mahapatra, GEU

i

Noise Part

Wireless Communication

 Assume all ni have equal variance No, the SNR is Measurement

i

i 1

Signal Part

 The resulting SNR is  Combined SNR is the sum of all branches SNR  Each i is exponential with mean  i 27

R. Mahapatra, GEU

 

1 No

2

i 1

No M

r i 1

M

2

i

  i i 1

Wireless Communication

28

Maximal Ratio Combining (MRC)

Average BER of BPSK

Assuming all branch SNR have equal mean,  is chi-square with 2M degrees of freedom (see  M Proakis, chapter 2) and mean The PDF is given by  e

The average BER is calculated by averaging the AWGN BER over the random SNR For BPSK



p     

M 1



 

Pb   Q

 M  M  1! o

 p   d 

 1e R. Mahapatra, GEU

R. Mahapatra, GEU

 

k 1  o    k 1  k  1 ! M

Wireless Communication

29

R. Mahapatra, GEU

 M 1  m   1     m m 0   2 

M M 1



0

 o 



2 p     d 

 1      2 

The outage probability is found from PDF Pout   o   Prob      o  



0



m

1   

Wireless Communication

30

5

07-10-2012

Performance of MRC

Equal Gain Combining (EGC)

Most used diversity method Phase Correction

Measurement

 Measurement

Phase Correction

R. Mahapatra, GEU

Wireless Communication

31

Equal Gain Combining (EGC)

R. Mahapatra, GEU

Wireless Communication

32

Equal Gain Combining (EGC)

 MRC required knowledge of the SNR on each branch  Simpler approach is equal weight for all branches (all ai=1) 2 M  The combined SNR is    1   ri 

From the CDF we find the outage probability

 There is no closed form solution for the CDF or PDF except for M=2

Also the BER for BPSK is

M N o  i 1

CDF is P      1  e PDF is p     

R. Mahapatra, GEU

1



 2 

    e 



Pout   o   1  e 2 o

1  2Q 

2 





Pb   Q



 1 1   e  2     e     1  2Q  4       



1  2Q 

2 o 









2 p      d 

0

2 

 33

R. Mahapatra, GEU

Wireless Communication

34

Space Time Block Codes

 A special application of MIMO system with multiple antennas - Intelligent coding of symbols across space and time  Signal processing wherein time (the natural dimension of digital communication) is complemented with spatial dimension inherent in the multiple spatially-distributed antennas  Redundancy is increased by decreasing the independence between the signals transmitted by different antenna elements  Time diversity is also introduced on the data stream from each antenna element  Two major types of space time coding  Space time block coding (STBC)  Space time trellis coding (STTC)

 There are few major types Transmit diversity: main goal is diversity gain Spatial multiplexing: main goal is increase data rate Eigen steering: main goal is both. Requires knowledge of the channel at the transmitter side Mix of the above: Lots of research

 Transmit diversity, spatial multiplexing and simplified version of Eigen steering are used in 3G and 4G standards

 STBC is simpler by STTC can provide better performance  STBC is used in mobile communications. STTC is not used in any systems yet

R. Mahapatra, GEU

o

2   1   1  1  1    2  1     

Space Time Coding

Wireless Communication

  o  e 





Wireless Communication

R. Mahapatra, GEU



35

R. Mahapatra, GEU

Wireless Communication

36

6

07-10-2012

Alamouti Transmit Diversity

2 Tx-1 Rx - s* 2

 Simple yet effective  Space/time encoding of data sequence at the transmitter  Orthogonal block codes used  Combining/processing scheme at the receiver  Decision rule: maximum likelihood detection

Time

s1

s2

-s2*

s1 *

time t time t+T

R. Mahapatra, GEU

s 1*

y1

h4 s 1*

s2

n3 n4

s1

s2

-s2*

s1 *

2

2 1

h2

h2

h1

Combiner h4

h3

1 2

R. Mahapatra, GEU

2

Received SNR

1 1



12   22 2N0

Wireless Communication

Es

38

No Diversity Downlink with 2x1 ATD Uplink with 1x2 MRC -1

10

ML Detector

h3

-2

h4

4

3

3

10

-3

10

-4

10

4

0

5

10

15

20

25

30

Average Received CNR (dB)

1

R. Mahapatra, GEU

 

 1×2 MRC in uplink has 3 dB better performance than 2×1 ATD in downlink.  In ATD scheme, each transmitting antenna radiates half the energy in order to ensure the same total radiated power as with one transmit antenna

2 3 4 2 Wireless Communication

2 1

1 2

4 3

3 4

39

R. Mahapatra, GEU

Interesting Facts  If the system is radiation power limited, in order to have the same total radiated power from two transmit antennas the energy allocated to each symbol should be halved.  This results in a 3-dB penalty in the error performance  A 3-dB reduction in amplifiers power handling is very significant and may be desirable in some cases

 Sensitivity to Channel Estimation Errors

40

 Antenna Configurations: to provide sufficient decorrelation at the base station receiver, they must be on the order of ten wavelengths apart at the mobile station by about three wavelengths

 Soft Failure the diversity gain is lost but the signal may still be detected

 The scheme is very sensitive to CSI.  it is assumed that the receiver has perfect knowledge of the channel

 Impact on Interference

 The Delay Effects

Although half the power is transmitted from each antenna, it appears that the number of potential interferers is doubled, i.e., we have twice the number of interferers, each with half the interference power

 With N branch transmit diversity, if the transformed copies of the signals are transmitted at N distinct intervals from all the antennas, the decoding delay is N symbol periods

Wireless Communication

Wireless Communication

Interesting Facts

 Power Requirements

R. Mahapatra, GEU

1

=(12+22)s1+h1*n1+h2n2*

0

~ s1  12   22   32   42 s1  h2*n1  h2 n2*  h3*n3  h4 n4* ~ s   2   2   2   2 s  h* n  h n*  h* n  h n*

R. Mahapatra, GEU

2

Where, s~1=h1*y1+h2y2*

y2=-h1s2*+h2s1*+n2

d2(y1,h1sl1+h2sl2)+d2(y2,-h1sl2*+h2sl1*) d2(y1,h1sk1+h2sk2)+d2(y2,-h1sk2*+h2sk1*) ~ ~ (12+22-1)|sl|2+d2(s,sl) (12+22-1)|sk|2+d2(s,sk) ~ ~ PSK – Signals: d2(s,sl)  d2(s,sk)

y4  h3 s1*  h4 s1*  n4

2

ML Detector

~ s1=h1*y1+h2y2* ~ s =h *y -h y *

~ +n

-s2* s1*

y3  h3 s1  h4 s2  n3

 

s2

h2 ~ s1 ~ s2

y1=h1s1+h2s2+n1

~ s1  h1* y1  h2 y2*  h3* y3  h4 y4* ~ s  h* y  h y *  h* y  h y *

y2  h1s2*  h2 s1*  n2

h2

10

h2 ~ s1 ~ s2

Channel Estimator

y1  h1s1  h2 s2  n1

s1

h1

h1

h3

Ant 2

=

Antenna 2

Bit Error Rate

Ant 1

h1

Comparison of BER performance between MRC and ATD

Channel Estimator

h2

s2

Combiner

37

n1 n2

h1

Channel Estimator

Ant 2

Wireless Communication

s1

h1

n1 n2

h2

2 Tx-2 Rx - s* 2

h1 Ant 1

y2 Antenna 1

Space

s1

41

R. Mahapatra, GEU

Wireless Communication

42

7

07-10-2012

MIMOh System

Matrix Representation

11

 y1   h11  y  h  2    21    .     y N R  hN R 1

h12

h21 Tx 1

Rx 1

h22 Rx 2

Tx 2

h1NT

hN R 1

h2 NT

h12 h22 . hN R 2

hN R NT

Tx NT

y1  h11s1  h12s2  . .   h1 NT s NT  n1

With simplest Space time coding

Channel matrix NR NT

Output NR  1 column matrix

Rx NR

h1 NT   s1   n1  h2 NT   s2   n1   . .  .        . hN R NT   s NT  nN R  . .

Input NT  1 column matrix

Y  HS  N

y2  h21s1  h22s2  . .   h2 NT s NT  n2 . . . . . . . . . . . . . y N R  hN R 1s1  hN R 2 s2  . .   hN R NT s NT  nN R

R. Mahapatra, GEU

Wireless Communication

43

R. Mahapatra, GEU

Wireless Communication

Matrix Representation

44

Code Rate  In the space-time block code, the number of symbols the encoder takes as its input in each encoding operation is k  The number of transmission periods required to transmit the space-time coded symbols through the multiple transmit antennas is p.

The received signal covariance matrix E YY H  RYY  HRSS H  R NN



noise NR  1 column matrix



Total received signal power can be expressed as trRYY  NR

 Rate

tr(A) denotes the trace of matrix A, obtained as the sum of the diagonal elements of A

where rb and rs are the bit and symbol rate, respectively, and B is the bandwidth

T

T

 I NT is the NT NT identity matrix Wireless Communication

45

Full Rate=1

4 transmit antenna

 s1 s S4   2  s3   s4

8 transmit antenna s s s s

R. Mahapatra, GEU

    S8        

R. Mahapatra, GEU

 s2 s1

 s3 s4

 s4 s3

s1  s2

s3  s2 s1

 s5  s6  s7  s8

 s6 s5  s8 s7

 s7 s8 s5  s6

s7 s8  s5

s8  s7 s6

s1 s2 s3

 s2 s1  s4

 s3 s4 s1

 s6

 s5

s4

s3

 s2

1

2

3

s2 s3 s4

s1 s4  s3

s3 s1 s2

s5 s6 s7

s6  s5  s8

s8

s7

4

Wireless Communication

R. Mahapatra, GEU

Wireless Communication

46

Transmit Antenna in Full Rate

s S2   1  s2

With 2 transmit antennas

k p

 The spectral efficiency of the space-time block code is given by r r mR km  b  s  bits/sec/Hz B rs p

The covariance matrix of the transmitted P signal RSS  N I N R. Mahapatra, GEU

R

 s8   s7  s6   s5   s4    s3  s2   s1 

 s2  s1 

 It is desirable to construct the full code rate R = 1 transmission schemes for any number of transmit antennas,

 s4   s3  s2   s1 

since full rate codes are bandwidth efficient

 For NT transmit antennas, the minimum value of transmission periods p to achieve the full rate min( 24cd ), where 0  c,0  d  4 and 8c  2d  NT

 For NT ≤ 8, the minimum value of p is given by NT  2 p  2 NT  3 p  4 NT  4 p  4 NT  5 p  8 47

R. Mahapatra, GEU

and

NT  6 p  8 NT  7 p  8 NT  8 p  8

Wireless Communication

48

8

07-10-2012

Full Rate=1 With 3 transmit antennas

8 transmit antenna  s1 s  2 S5   s3   s4  s5 R. Mahapatra, GEU

R. Mahapatra, GEU

 s2 s1 s4  s3 s6

 s2 s1

 s3 s4

 s4

s1

 s4 s3  s2

 s5  s6  s7

 s6 s5  s8

 s7 s8 s5

s1 s8

 s8 s1

s7  s2

 s6  s3

 s1 S3   s2  s3

 s3  s4 s1 s2 s7

Example

Wireless Communication

Code Rate 1/2  s1  S   s2  s3 

 s4   s3  s2 

c 3

 s8   s7  s6   s5   s4 

 s2 s1  s4

 s3 s4 s1

 s4  s3  s2

s1* s2* s3*

 s2* s1*  s4*

 s3* s4* s1*

 s4*    s3*   s2* 

Code rate 3/4  s1  S    s2   s3  h' 3

49

R. Mahapatra, GEU

s2* s1* 0

s3* 0 s1*

0    s3*  s2* 

Wireless Communication

50

9

Diversity Techniques Advantage of Diversity Why ...

Jul 10, 2012 - ➢As the wireless propagation channel is time variant, signals that are received at ... Main advantage of spatial diversity relative to time and.

659KB Sizes 4 Downloads 244 Views

Recommend Documents

Comparison of Diversity Combining Techniques for ...
The revolutionary idea behind MIMO technology is that contrary to SISO ..... tional Foundation for Science and Technology Development. (NAFOSTED) (No.

Comparison of Diversity Combining Techniques for ...
MRC, is not bounded as increasing signal-to-noise ratio (SNR). ... diversity gain, i.e. reliability of a wireless link, as compared to a conventional single-input ...

Systematics & Diversity of Amblyopine gobies
Ultimate dorsal- and anal-fin pterygiophores support only a single ray ... Thailand, Indonesia, Brunei, Philippines, Australia, Taiwan, China,. Okinawa.

Diversity of Life
some large animals such as the bilkis gazelle (Gazella bilkis) from Yemen, described in 1985, Madagascar's golden le- mur (Hapalemur aureus), described in ...

Diversity Techniques in IEEE 802.11g WLAN ...
Chapter 3 gives a short overview on 802.11g standard. MAC and PHY layer of. 802.11g are discussed. Detail discussion can be found in IEEE standard docu-.

Scalar Diversity
Dec 24, 2014 - the Internet and several corpora (the British National Corpus, the Corpus ...... that yielded high rates of scalar inferences, but for which stronger ...... (2012), 'Distinguishing speed from ac- curacy in .... (http://lsa.colorado.edu

Diversity - Hermes Investment Management
Also, gender still tops the list when set against other board diversity characteristics such as race (30%), ... +44 (0)20 7680 2121. Africa. +44 (0)20 7680 2205.

The Biological Origin of Linguistic Diversity - ScienceOpen
Oct 30, 2012 - Group, Warwick Business School, University of Warwick, Coventry, United Kingdom, 3 Departament de Fısica i Enginyeria Nuclear, Universitat Polite`cnica de ... A challenge for evolutionary biology is to reconcile the diversity of langu

Animal Diversity-I.PDF
(f) Bombyx mori (vi) Organ of. Tomosvary. (d) State whether the following ... LSE-09 3 P,T.O.. Page 3 of 8. Main menu. Displaying Animal Diversity-I.PDF. Page 1 ...

Clerodendrum diversity in Northeast India
(tribal) people of Goalpara district, Assam. Nat. Prod. Rad.. 3 (2): 89. Begum, S.S. & Hynniewta, T.M. 2007. Medicinal plant resources of Nameri Nation Park,.

diversity-and-belonging.pdf
diversity-and-belonging.pdf. diversity-and-belonging.pdf. Open. Extract. Open with. Sign In. Main menu. Displaying diversity-and-belonging.pdf. Page 1 of 1.

Book Diversity Consciousness
Jan 20, 2014 - Success 2015 Copyright Series) Free Collection ... social media/networking), Education,. Nursing, Human ... training education courses, and.

Read The Diversity of Fishes: Biology
Read The Diversity of Fishes: Biology