chapter5 diversityweb.xidian.edu.cn/xjwang/files/20161102_232302.pdf · example:time diversity in...
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CHAPTER 5 DIVERSITY Xijun Wang
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WEEKLY READING
1. Goldsmith, “Wireless Communications”, Chapters 72. Tse, “Fundamentals of Wireless Communication”,
Chapter 3
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FADING HURTS THE RELIABILITY
n The detection error probability decays exponentially in SNR in the AWGN channel
n While it decays only inversely with the SNR in the fading channel.
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FADING HURTS THE RELIABILITY
n With only a single signal path¨ There is a significant probability that this path will be in
a deep fade. ¨ When the path is in a deep fade, any communication
scheme will likely suffer from errors.
n A natural solution to improve the performance is ¨ Let the information symbols pass through multiple signal
paths, ¨ Each of which fades independently, ¨ Reliable communication is possible as long as one of the
paths is strong.
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DIVERSITY
n Sending signals that carry the same information through different paths
n Multiple independently faded replicas of data symbols are obtained at the receiver end
n Independent signal paths have a low probability of experiencing deep fades simultaneously
n More reliable detection can be achieved bydiversity combining.
n Diversity can be provided across time, frequency and space.
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DIVERSITY
n Time diversityn Frequency diversity
¨ Frequency-selective fading channel
n Space diversity¨ with multiple transmit or receive antennas spaced
sufficiently far enough
n Macro diversity¨ In a cellular network, the signal from a mobile can be
received at two base-stations.
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TIME DIVERSITY
n Time diversity is achieved by averaging the fading of the channel over time ¨ Information is coded and the coded symbols are
dispersed over time in different coherence periods ¨ Different parts of the codewords experience
independent fades.
n Typically, the channel coherence time is of the order of 10’s to 100’s of symbols
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TIME DIVERSITY
n One simple scheme¨ Repetition coding + interleaving
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SIGNAL MODEL IN FLAT FADING CHANNEL
n Transmit a codeword x = [x1, . . . , xL]t of length L symbols
n The received signal is
n Assuming ideal interleaving so that consecutive symbols xl are transmitted sufficiently far apart in time
n Assume that the hl’s are independent
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REPETITION CODING
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COHERENT DETECTION
n The receiver structure is a matched filter and is also called a maximal ratio combiner.¨ it weighs the received signal in each branch in
proportion to the signal strength and also aligns the phases of the signals in the summation to maximize the output SNR
n Sufficient statistic
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ERROR PROBABILITY
n Consider BPSK modulation, with x1 = ±a.n The error probability conditioned on h
n Chi-squared distribution with 2L degrees of freedom.
n At high SNR
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DEEP FADES BECOME RARER
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ERROR PROBABILITY
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L is the diversity order
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EXAMPLE: TIME DIVERSITY IN GSM
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EXAMPLE: TIME DIVERSITY IN GSM
n The maximum possible time diversity gain is 8.n Amount of time diversity limited by delay constraint
and how fast channel varies.
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EXAMPLE: TIME DIVERSITY IN GSM
n In GSM, delay constraint is 40ms (voice). n The coherence time should be less than 5 ms to
obtain the maximum diversity. n For fc = 900 MHz, this translates into a mobile
speed of at least 30 km/h.
n For a walking speed of say 3 km/h, there may be too little time diversity.
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EXAMPLE: TIME DIVERSITY IN GSM
n Frequency hopping ¨ consecutive frames (each composed of the time slots of
the 8 users) can hop from one 200 kHz sub-channel to another.
¨ With a typical delay spread of about 1μs, the coherence bandwidth is 500 kHz
¨ The total bandwidth equal to 25 MHz is thus much larger than the typical coherence bandwidth of the channel and the consecutive frames can be expected to fade independently.
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FREQUENCY DIVERSITY
n Frequency-selective fading channeln This diversity is achieved by the ability of resolving
the multipaths at the receiver.
n One simple communication scheme ¨ Sending an information symbol every L symbol times. ¨ The maximal diversity gain of L can be achieved¨ Only one symbol can be transmitted every delay
spread.
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FREQUENCY DIVERSITY
n Once one tries to transmit symbols more frequently, inter-symbol interference (ISI) occurs
n How to deal with the ISI while at the same time exploiting the inherent frequency diversity in the channel ¨ Single-carrier systems with equalization ¨ Direct sequence spread spectrum ¨ Multi-carrier systems
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SINGLE-CARRIER WITH ISI EQUALIZATION
n A sequence of uncoded independent symbols x[1],x[2],... is transmitted over the frequency-selective channel
n Assuming that the channel taps do not vary over these N symbol times, the received symbol at time m is
n Can we still get the maximum diversity gain of L, even though there is no coding across the transmitted symbols?
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SINGLE-CARRIER WITH ISI EQUALIZATION
n Uncoded transmission combined with maximum likelihood sequence detection (MLSD) achieves full diversity on symbol x[N] using the observations up to time N +L−1, i.e., a delay of L − 1 symbol times.
n Compared to the scheme in which a symbol is transmitted every L symbol times, the same diversity gain of L is achieved and yet an independent symbol can be transmitted every symbol time.
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THE VITERBI ALGORITHM
n Given the received vector y of length n, MLSD requires solving the optimization problem
n A brute-force exhaustive search¨ The complexity grows exponentially with the block
length n n Viterbi algorithm
¨ exploit the structure of the problem ¨ recursive in n so that the problem does not have to be
solved from scratch for every symbol time
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FINITE STATE MACHINE
n The key observation is that the memory in the frequency-selective channel can be captured by a finite state machine
n The number of states is ML, where M is the constellation size for each symbol x[m].
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FINITE STATE MACHINE
n A finite state machine when x[m] are ±1 BPSK symbols and L = 2
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TRELLIS GRAPH
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MLSD
n The received symbol y[m] is given by
n The MLSD problem
¨ Conditioned on the state sequence s[1],...,s[n], the received symbols are independent and the log-likelihood ratio breaks into a sum
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MLSD
n The optimization problem can be represented as the problem of finding the shortest path through an n-stage trellis
n Each state sequence (s[1], . . . , s[n]) is visualized as a path through the trellis
n the cost associated with the mth transition is
n Let Vm(s) be the cost of the shortest path to a given state s at stage m.
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TRELLIS GRAPH
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CAPACITY WITH TIME & FREQUENCY DIVERSITY
n Parallel channels
n Without CSIT, a reasonable strategy is to allocate equal power P to each of the sub-channels.
n If the target rate is R bits/s/Hz per sub-channel, then outage occurs when
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CAPACITY WITH TIME & FREQUENCY DIVERSITY
n Outage probability for uniform power allocation
n Outage probability for non-uniform powerallocation
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CODING STRATEGY
n With CSIT, dynamic rate allocation and separate coding for each sub-channel suffices.
n Without CSIT¨ separate coding would mean using a fixed-rate code
for each sub-channel and poor diversity results: errors occur whenever one of the sub-channels is bad.
¨ coding across the different coherence periods is now necessary: if the channel is in deep fade during one of the coherence periods, the information bits can still be protected if the channel is strong in other periods.
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A GEOMETRIC VIEW
33Coding across the sub-channels. Separate, non-adaptive code for each sub-channel.
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ANTENNA DIVERSITY
n The antennas has to be placed sufficiently far apart.¨ The required antenna separation depends on the local
scattering environment as well as on the carrier frequency.
¨ For a mobile which is near the ground with many scatterers around, the channel decorrelates over shorter spatial distances, and typical antenna separation of half to one carrier wavelength is sufficient.
¨ For base stations on high towers, larger antenna separation of several to 10’s of wavelengths may be required.
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RECEIVE DIVERSITY
n A flat fading channel with 1 transmit antenna and L receive antennas
¨ If the antennas are spaced sufficiently far apart, then the gains are independent Rayleigh.
¨ Optimal reception is via match filtering (receive beamforming).
¨ the error probability of BPSK conditioned on the channel gains
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RECEIVE DIVERSITY
n Power gain (also called array gain)
¨ by having multiple receive antennas and coherent combining at the receiver, the effective total received
n Diversity gain
¨ by averaging over multiple independent signal paths, the probability that the overall gain is small is decreased.
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RECEIVE DIVERSITY
n Diversity gain¨ If the channel gains are fully correlated across all
branches, then we only get a power gain but no diversity gain as we increase L.
¨ When all the hl are independent there is a diminishing marginal return as L increases
n Power gain¨ suffers from no such limitation: a 3 dB gain is obtained
for every doubling of the number of antennas.
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TRANSMIT DIVERSITY WITH CSIT
n L transmit antennas and 1 receive antenna
n When this gain is known at the transmitter, the system is very similar to receiver diversity with MRC
n Transmit beamforming¨ maximizes the received SNR by in-phase addition of
signals at the receiver
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Reduce to scalar channel
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TRANSMIT DIVERSITY W/O CSIT
n L transmit antennas and 1 receive antenna
n To get a diversity gain of L without CSIT¨ simply transmit the same symbol over the L different
antennas during L symbol times. ¨ At any one time, only one antenna is turned on and the
rest are silent. ¨ Simple but wasteful of degrees of freedom
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ALAMOUTI CODE
n With flat fading, the two transmit, single receive channel
n Transmits two complex symbols u1 and u2 over two symbol times ¨ time 1:¨ time 2:¨ Assume
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ALAMOUTI CODE
n Rewrite the received signal
n Define the new vector
n Then, we haven Decouples due to the diagonal nature of z
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ALAMOUTI CODE
n A linear receiver allows us to decouple the two symbols sent over the two transmit antennas in two time slots
n The received SNR thus corresponds to the SNR for zi
n Alamouti scheme ¨ Achieves a diversity order of 2, despite the fact that channel
knowledge is not available at the transmitter. ¨ Achieves an array gain of 1, since si is transmitted using half
the total symbol energy.n Transmit diversity with CSIT
¨ Achieves an array gain and a diversity gain of 2.
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TRANSMIT AND RECEIVE DIVERSITY
n A MIMO channel with two transmit and two receive antennas
n Both the transmit antennas and the receive antennas are spaced sufficiently far apart
n The maximum diversity gain that can be achieved is 4
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REPETITION CODE
n Transmit the same symbol over the two antennas in two consecutive symbol times ¨ Time 1 ¨ Time 2
n Performing maximal-ratio combining of the four received symbols yields a 4-fold diversity gain
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Effective channel gain
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ALAMOUTI CODE
n Transmitter
n Receiver¨ The received signal in the first time slot is
¨ The received signal in the second time slot is
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ALAMOUTI CODE
n Combination
n Detection
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ALAMOUTI CODE
n Diversity order of 4
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MORE DEGREE OF FREEDOM
n Spatial Multiplexing ¨ transmit independent uncoded symbols over the
different antennas as well as over the different symbol times (V-BLAST)
¨ diversity gain of 2, since there is no coding across the transmit antennas
¨ full use of the spatial degrees of freedom should allow a more efficient packing of bits
¨ joint detection of the two symbols is required
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2 × 2 MIMO SCHEMES
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CAPACITY
n Linear Time-Invariant Gaussian Channels ¨ known to both the transmitter and the receiver ¨ optimal codes for these channels can be constructed
directly from an optimal code for the basic AWGN channel.
n Fading Channels¨ Slow fading
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SIMO AND MISO CHANNEL
n Receive beamforming in SIMO channels
¨ the projection of the L- dimensional received signal on to h
n Transmit beamforming in MISO channels¨ send information only in the direction of the channel
vector h
n Capacity (only power gain)
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SLOW FADING SIMO CHANNEL
n Receive diversity¨ Outage probability¨ At high SNR¨ Outage capacity
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At low SNR and small ε
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SLOW FADING MISO CHANNEL
n Transmit diversity with CSIT¨ Outage probability with CSIT
¨ same as the corresponding SIMO system¨ achievable only if the transmitter knew the phases and
magnitudes of the gains ¨ perform transmit beamforming, i.e., allocate more
power to the stronger antennas and arrange the signals from the different antennas to align in phase at the receiver
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SLOW FADING MISO CHANNEL
n Transmit diversity without CSIT¨ Outage probability with 2 antennas using Alamouti
Scheme
¨ 3 dB loss in received SNR¨ In the Alamouti scheme, the symbols sent at the two
transmit antennas in each time are independent. Each of them has power P/2.
¨ In transmit beamforming, the symbols transmitted at the two antennas are completely correlated in such a way that the signals add up in phase at the receive antenna
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SLOW FADING MISO CHANNEL
n Transmit diversity without CSIT¨ Outage probability with 2 antennas using Alamouti
Scheme
¨ Alamouti scheme has the best outage probability among all schemes which radiates energy isotropically.
¨ If h1, h2 are i.i.d. Rayleigh, that correlation never improves the outage performance
¨ the Alamouti scheme has the optimal outage performance for the i.i.d. Rayleigh fading channel.
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SLOW FADING MISO CHANNEL
n Transmit diversity without CSIT¨ Outage probability with L antennas
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SLOW FADING MISO CHANNEL
n Transmit diversity without CSIT¨ Outage probability with L antennas using repetition
scheme
¨ The same symbol is transmitted over the L different antennas over L symbol periods, using only one an-tenna at a time to transmit.
¨ to achieve the same outage probability for the same target rate R
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SLOW FADING MISO CHANNEL
n Transmit diversity without CSIT¨ to achieve the same outage probability with Alamouti
scheme for the same target rate R, the SNR has to be increased by a factor of
¨ For a fixed R, the performance loss increases with L: the repetition scheme becomes increasingly inefficient in using the degrees of freedom of the channel.
¨ For a fixed L, the performance loss increases with the target rate R.
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SLOW FADING MISO CHANNEL
n Transmit diversity without CSIT¨ to achieve the same outage probability with Alamouti
scheme for the same target rate R, the SNR has to be increased by a factor of
¨ For a small R, we have
¨ the repetition scheme is very sub-optimal in the high SNR regime where the target rate can be high
¨ it is nearly optimal in the low SNR regime.
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MAIN POINTS
n Fading hurts the reliability of the system (we saw 30dB possible power penalty).
n Reliability is increased by providing more signal paths that fade independently.
n Diversity can be provided across time, frequency and space.
n Macro-diversity vs. Micro-diversity ¨ Macro-diversity: Combat shadowing ¨ Micro-diversity: Combat small scale fading (Rayleigh)
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