Chapter 8 Multiuser Radio Communications - National Chiao …shannon.cm.nctu.edu.tw/comtheory/chap8.pdf · 1 Chapter 8 Multiuser Radio Communications Multiuser communications refer

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Chapter 8 Multiuser Radio Communications

Multiuser communications refer to thesimultaneous use of a communication channel by a number of users.

© Po-Ning [email protected] Chapter 8-2

8.2 Multiple-access techniques

o Difference between multiple access and multiplexingn Sources of multiple access may be geographically

dispersed, while sources of multiplexing are confined within a local site (or point).

MultiplexingMultiple access

2



o Difference between multiple access and multiplexingn Sources of multiple access are often homogeneous in

requirements and characteristics, while sources of multiplexing are not.

MultiplexingMultiple access



o Basic types of multiple access

FDMA TDMA A type of CDMA(Frequency-hop multiple access)

3



o Basic types of multiple accessn Space-division multiple access (SDMA)

o Spatial separation of individual users


8.3 Satellite communications

6 GHz

4 GHz

transponder

4


8.3 Satellite communicationso Advantage of 6/4 GHz band

n Relatively inexpensive microwave equipment

n Low attenuation due to weather change, such as rainfall

n Insignificant sky background noise (from 1~10 GHz)

o However, these bands conflict with those used in terrestrial microwave systems.n Hence, 6/4 GHz band has been

replaced by 14/12 GHz band (Ku-band)

ITU



o Block diagram of transponder

5



o Observations on satellite communicationn Long propagation delay: As large as 270ms one-way

o Echo canceller may be necessary for speech signals due to impedance mismatch at the receiver end that induces “bounce-back” echo signal.

n Well modeled by AWGNn Nonlinearity in transponder will cause serious

interference between users.o The amplifier thus is purposely operated at the linear

region whenever possible, and thus operated below capacity.


8.4 Radio link analysis

o Link budget or link power budgetn Definition: Accounting of

all the gains and losses incurred in a communication link.

o With the analysis, we can ensure the system is operating at the desired Eb/N0 region.

6



o Apparently,

o Hence, we will usually set a link margin M defined as

o The received Eb/N0 requires a model for the calculation of received power.



o The link analysis requires:n Calculation of the average received power

o Friis free-space equationn Calculation of the average noise power

o Noise figure

7



o Received power density r(r)n Rate of energy flow per

unit area (e.g., watts per square meter)o E.g., for

omnidirectional antenna,



o Received radiation intensity F(q, f)n Watts per unit solid angle or per

steradian

o E.g., for omnidirectional antenna,

8



o Average power radiated per unit solid angle (watts per steradian)

o Directive gain of an antenna (normalized radiation intensity)



o Directivity of an antennao Power gain of an antenna

n Efficiency of an antenna: The power gain is the ratio of the maximum radiation intensity from the antennato the radiation intensity from a lossless isotropic source under the constraint that the same input power is applied to both antennas.

9



o Notion of power gainn Concentrating the power density in a restricted region

smaller than 4p steradians



o Effective radiated power referencing to an isotropic source (EIRP = Equivalent Isotropically Radiated Power) defined only for transmitting antenna

o Antenna beamwidthn Measure of the

antenna’s solid angle such that the peak field power is reduced to 3 dB

10



o Effective aperture (is proportional to l2)n The effective aperture of an antenna is sometimes called

its capture area. It is the frontal area from which a receiving antenna extracts energy from passing electromagnetic waves.



o Friis free-space equation

d

11



o Path loss (The smaller, the better)

o Observationn The larger the distance, the higher in preference to lower

carrier frequency.



o Noise figure (NF)n NF is a measure of degradation of the signal-to-noise

ratio (SNR) through a device.n Under the same signal power (sinusoidal input), spot NF

is a measure of the noise power increased by the device under test with respect to a specific frequency f.

12



o With the above definition on G(f),

o Suppose we concern about the average noise figure. Then,



o Equivalent noise temperature Ten Noise voltage level across a resistor R due to thermal

noise at degree Kelvin T can be approximated by

13



o Hence, the noise power is proportional to the temperature.



o An alternative and perhaps more formal definition of (spot) noise figure

The ratio between input SNR and output SNR

14

o Example (Behzad Ravavi, RF Microelectronics, Prentice Hall, 1998)



15

o Example: Noise figure of cascaded system



16


(A matched load system)


17


o Note that F2 is the noise figure of the second stage with respect to a source impedance RS.

o Also, note that Rout1 = RS.o Generally,



o A simplified analysis of the noise figure of (equivalent) cascade system

F2 is the (single-stage) noise figure with respect to input N1.

18


o Observationsn If the first stage has high power gain, the overall noise

figure will be dominated by the first stage.n In other words, a high-gain stage can suppress the noise

figure of the following stages.n Based on the above formula, we can easily obtain the

famous Friis formula for equivalent noise temperatures.


19



o Example 1: Below are all equivalent noise temperatures.

Low-noise radio frequency (RF)

amplifier


20



o Example 2: Friis free-space equation

o For a downlink channel of digital satellite communication system,


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The link margin M is usually 4 dB for C-band and 6 dB for Ku-band.From Slide 6-63,

22


8.5 Wireless communications

o This section actually concerns a special type of wireless communications, namely, mobile (cellular) radio.

o Usual model of the cellular radio systemn Base station centered in a

hexagonal celln Base station = interface

between mobile subscriber and (mobile) switching center



o Handover or handoff = Switching process from one cell to another

o Two important techniques for mobile cellular radion Frequency reuse

o Co-channel interference is acceptable.n Cell splitting

o With the help of, e.g., directional antenna

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o One way to determine the co-channel cellsn Philosophy behind : Equal

distances among base stations at co-channel cells

n Thinking: o More specifically, does the

cover area of a base station looks like a hexagon?

o How to efficiently assign co-channel cells based on the true “cell topology”?



o Multipath phenomenon

24



o Signal fading due to multipath phenomenon



o Experimental record of (mobile) received signal envelope in an urban area

(OrdBm

W)

25


Transmitter

L

atv D×

v

LtvLtvL

LtvLLL

-×D××+D+=

-D×++=D

)cos(2)(

))cos(())sin((222

22

a

aa

– Difference in path length


lpf LD

=D 2

– Phase change (during time Dt)

(radian) and tL

tf

DD

-=DD

-=Dl

fp

121

(Hz)


Transmitter

L

atv D×

v

)cos(1

)cos(2)(lim

1

lim1)(

222

0

0

al

al

l

×-=

D-×D××+D+

-=

DD

-=

®D

®D

v

tLtvLtvL

tLfd

t

t

– Doppler shift


)cos()( alvffdff ccDoppler -=+=

26


8.6 Statistical characterization of multipath channels

o A formal definition of multipath fading channels

Transmitter Receiver

)),(( 11 ta t

)),(( 22 ta t

)),(( 33 ta t

)()()()()()()(

33

22

11

tntsttsttst

+-+-+-

tatata



o A formal definition of multipath fading channels

Transmitter Receiver

)),;(( 11 tt th

)),;(( 22 tt th

)),;(( 33 tt th

)()();()();()();(

33

22

11

tntsthtsthtsth

+-+-+-

tttttt

27



o Canonical representation of low-pass complex envelope

Given

Then


convolution

28

For time-varying channel,


Eq. (8.38) in text is mistakenly put t in here, which is wrong.


(See Slide 8-58.)

(See Slide 8-58.)

29


Hence, we can equivalently operate on “lowpass domain” as

with no information loss on the “bandpass domain”.


Note that in a time-varying environment,

30



o Usual assumptions on statistical characterization of the channel


For zero-mean, stationary, uncorrelated scattering channels, the autocorrelation function of the channel transfer function only depends on time difference and frequency difference.

It is thus named spaced-frequency spaced-time correlation function.

31



o A typical multipath intensity profile



o Two major concerns on multipath fading channelsn Delay spread from t

n Doppler spread from n

32



o (rms) delay spread

o (rms) Doppler spread



o (rms) coherent bandwidth

o (rms) coherent time

33



o Classification of channels according to coherent time and coherent bandwidthn Let signal bandwidth be B.

n Let symbol period be T.


8.7 Binary signaling over a Rayleigh fading channel

o For a time-flat frequency-flat fading channel, i.e., ,the relation between input and output can be modeled as:

o Assume the receiver can perfectly estimate a and f.

34


Under the “perfect” assumption, the receiver system can be equivalently transformed to

We can then do exactly the same derivation as Slide 6-32 by replacing Eb with a2Eb , and obtain:

6.3 Coherent phase-shift keying – Error probability

o Error probability of Binary PSKn Based on the decision rule


35



36


We can similarly obtain the error rate for the other transmission schemes as follows.



o The performance degrades significantly in fading channels even with perfectchannel estimation.

o How to compensate fading effect without, e.g., greatly increasing the transmitted power ?n Diversity technique

37



o Categories of diversity techniquen Frequency diversityn Time (signal-repetition) diversityn Space diversity

o Basically, they just repetitively transmit the same signal Ltimes, and make decision based on these L replica (assuming that the fadings encountered are uncorrelated)n How to combine these L replica is also a research

subject ?



o Maximal-ratio combiner (For example, BPSK)

38



39


Under the “perfect-estimation” assumption, the receiver system can be equivalently transformed to (as similarly did in Slide 8-67)

We can then do exactly the same derivation as Slide 6-32 by replacing Eb with a2Eb , and obtain:


40



8.8 TDMA and CDMA wireless communication systems

o Global System for Mobile Communications (GSM)n Modulation type: GMSKn Channel bandwidth: 200 KHzn Number of duplex channels: 125n TDMA/FDD

41



o IS-95 (Interim Standard)n Modulation type: BPSKn Channel bandwidth: 1.25 MHzn Number of duplex channels: 20n CDMA/FDDn Access users per channel: 20 to 35 (contrary to 8 for

GSM)n Frame period 20ms, equal to that of the speech codecn Data rate: 9.6 or 14.4 Kbps



o Technique challenge of CDMAn MAI (multiple access interference): Interference from

other usersn Near-far problem – Power control

X

A

Y

B

42



o RAKE receiver


43



44


(equivalent to (L+1)-diversity with maximal ratio combiner)


The receiver collects the signal energy from all the received paths, which is somewhat analogous to the garden rake that is used to gather together leaves, hays, etc. Consequently, the name “RAKE receiver” has been coined for this receiver structure by Price and Green (1958).

45



o Final notionn The rake receiver collects all the significant echoes that

are likely to occur in the multipath environment, and behaves as though there was a single propagation path between the transmitter and receiver.


8.9 Source coding of speech for wireless communication

o Speech coding used in GSM and IS-95n Multi-pulse excited linear predictive coding (LPC) –

GSMn Code-excited LPC – IS-95

o Principle of analysis by synthesisn The encoder (analyzer) includes a copy of the decoder

(synthesizer) in its design.

46

Original digitalspeech information

+ +

+

- -

-

LPC Analysis : generatespectrum/vocal trackinformation

Pitch information

VQ the voice residual

Short-term prediction



Schematic representation of the vocal system

Glottal volume velocity at the mouth for vowel “a”.

cc/sec = cubic centimetres/second

47


D

D

a1

a9

a10

+

excitation speech

+

+

+

å=

--== 10

11

1)(

1)()(

j

jj za

zAzGzX

å=

--=10

1

][][][j

j jnxanxng

LipsVocal tractGlottal volume

x[n]g[n]

Synthesis filter (analysis by synthesis)


Encoder Decoder

Multi-pulse excited linear predictive codec

48


Coded-excited linear predictive codec (CELP)

In place of excitation generator

(Further enhancement of the speech compression rate below 8 kbps)


2 4 8 16 32 64Unacceptable

Poor

Fair

Good

Excellent

Bit rate (kb/s)

Speech Quality

FS-1015

MELP 2.4 FS-1016

JDC2

G.723.1

GSM/2JDCIS54IS96

GSM

G.723.1 G.729 G.728 G.726 G.711

G.727IS-641 US-1

Source: IEEE Communications Magazine, September 1997.

49


Date Standard Rate Technique Frame Size/Look ahead

Computation complexity/RAM size

1965 G.711 64kbps PCM 0.125ms/0 ---/---1992 G.728 16kpbs LD-CELP 0.625ms/0 30 MIPs/---1995 G.723.1 5.33/6.4kbps MP-MLQ

/ACELP*30ms/7.5ms 16 MIPs/2200 words

1995 G.729 8kbps CS-ACELP 10ms/5ms 20 MIPs/3000 words1996 G.729.A 8kbps CS-ACELP 10ms/5ms 10.5 MIPs/2000 words

* MP-MLQ for higher bit rate; ACELP for lower bit rate.

Standard Patents Owners Owner List G.723.1 17 8 AT&T(1), Lucent(3), NTT(3), VoiceCraft(2) G.729.A 20 6 AT&T(1), France Telecom(1), Lucent(1), NTT(1),

Universite DE Sherbrooke(1), VocieCraft(1) G.729 20 6 AT&T(1), France Telecom(1), Lucent(1), NTT(1),

Universite DE Sherbrooke(1), VocieCraft(1)

ITU Audio Standards


8.10 Adaptive antenna arrays for wireless communications

o Antenna arrays can be regarded as space diversity.M antennas

N users

For simplicity, we assume in the sequel that the vectorization of the signals are all real.

50



.

51



with equality holding if, and only if,

(Match filter principle)

Cauchy-Schwarz inequality:

52


Example. What is the dimension of W, if

Answer:?


8.10 Adaptive antenna arrays for wireless communications

o Adaptive antenna arrayn To adaptively adjust

the weights so that the error signal (namely, the difference between resultant signal and reference signal) is essentially zero.

n Details theoretical background can be found in Section 4.10.

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