Wireless Communications
Module 4:
Diversity, Equalization, and Multiple Access
                        Syllabus
• 4.1 Diversity (3 hours): Receiver diversity – selection
  combining, maximal ratio combining. Transmitter diversity –
  Alamouti scheme for 2x2 MIMO.
• 4.2 Equalization (3): Equalization – Linear and non-linear
  equalization, Zero forcing, MMSE equalizers. LMS algorithm.
  Adaptive Equalization.
• 4.3 Multiuser Systems (2): Uplink and Downlink, Multiple
  Access, Frequency-Division Multiple Access (FDMA),
  Time-Division Multiple Access (TDMA), Code-Division Multiple
  Access (CDMA), Orthogonal Frequency-Division Multiple
  Access (OFDMA).
                Equalization
• Equalization defines any signal processing
  technique used at the receiver to alleviate the
  Inter Symbol Interference problem caused by
  delay spread.
• Signal processing can also be used at the
  transmitter to make the signal less susceptible
  to delay spread.
• It may be a simple linear filter or a complex
  algorithm.
Equalization
                Equalization
• Equalizer design must typically balance ISI
  mitigation with noise enhancement, since both
  the signal and the noise pass through the
  equalizer, which can increase the noise power.
• Nonlinear equalizers suffer less from noise
  enhancement than linear equalizers but
  typically entail higher complexity
• Moreover, equalizers require an estimate of the
  channel impulse or frequency response to
  mitigate the resulting ISI.
                Equalization
• Since the wireless channel varies over time, the
  equalizer must learn the frequency or impulse
  response of the channel (training) and then
  update its estimate of the frequency response
  as the channel changes (tracking).
• The process of equalizer training and tracking
  is often referred to as adaptive equalization,
  since the equalizer adapts to the changing
  channel.
                Equalization
• Equalizers are typically implemented digitally.
• Figure 11.3 is a block diagram of an equivalent
  lowpass end-to-end system with a digital
  equalizer.
• The input symbol dk is passed through a
  pulse-shaping filter g(t) and then transmitted
  over the ISI channel with equivalent lowpass
  impulse response c(t).
Equalization
                Equalization
• We define the combined channel impulse
  response
• and the equivalent lowpass transmitted signal is
  thus given by
• The pulse shape g(t) improves the spectral
  properties of the transmitted signal & the
  channel c(t) is introduced by transmission
  medium.
                Equalization
• At the receiver front end, equivalent lowpass
  white Gaussian noise n(t) with PSD N0 is
  added to the received signal for a resulting
  signal w(t).
• This signal is passed through an analog
  matched filter gm∗ (-t) to obtain the equivalent
  lowpass output y(t), which is then sampled via
  an A/ D converter.
• The purpose of the matched filter is to
  maximize the SNR of the signal before
  sampling and subsequent processing.
                Equalization
• The equalizer output provides an estimate of
  the transmitted symbol.
• This estimate is then passed through a decision
  device that rounds the equalizer output to a
  symbol in the alphabet of possible transmitted
  symbols.
                Equalization
• During training, the equalizer output is passed
  to the tap update algorithm to update the tap
  values, so that the equalizer output closely
  matches the known training sequence.
• During tracking, the round-off error associated
  with the symbol decision is used to adjust the
  equalizer coefficients.
LMS Algorithm
LMS Algorithm
           Multiuser Systems
• In multiuser systems the system resources
  must be divided among multiple users.
• In order to support multiple users, the signal
  space dimensions of a multiuser system must
  be allocated to the different users.
• Allocation of signaling dimensions to specific
  users is called multiple access.
• Multiple access methods are applied to the two
  basic multiuser channels: downlink channels
  and uplink channels.
  Multiuser Channels: The Uplink and Downlink
• A “multiuser” channel is any channel that must
  be shared among multiple users.
• There are two different types of multiuser
  channels, the uplink channel and the downlink
  channel.
Multiuser Channels: The Uplink and Downlink
 Multiuser Channels: The Uplink and Downlink
• An uplink channel, also called a multiple
  access channel or reverse channel, has many
  transmitters sending signals to one receiver,
  where each signal must be within the total
  system bandwidth B.
• However, in contrast to the downlink, in the
  uplink each user has an individual power
  constraint Pk associated with its transmitted
  signal sk(t).
FDMA
                   FDMA
• In FDMA the system signaling dimensions are
  divided along the frequency axis into
  nonoverlapping channels, and each user is
  assigned a different frequency channel;
• The channels often have guard bands between
  them to compensate for imperfect filters,
  adjacent channel interference, and spectral
  spreading due to Doppler.
     Time-Division Multiple Access (TDMA)
• In TDMA, the system dimensions are divided
  along the time axis into nonoverlapping
  channels, and each user is assigned a different
  cyclically repeating timeslot.
• These TDMA channels occupy the entire
  system bandwidth, which is typically wideband,
  so some form of ISI mitigation is required.
• The cyclically repeating timeslots imply that
  transmission is not continuous for any user.
Time-Division Multiple Access (TDMA)
Code Division Multiple Access
   Code Division Multiple Access
• The narrowband message signal is multiplied
  by a very large bandwidth signal called the
  spreading signal.
• The spreading signal is a pseudo- noise
  code sequence that has a chip(symbol) rate
  which has orders of magnitudes greater than
  the data rate of the message.
Code Division Multiple Access
   Code Division Multiple Access
• Each user has its own pseudorandom codeword
  which is approximately orthogonal to all other
  codewords.
• The receiver performs a time correlation operation
  to detect only the specific desired codeword. All
  other codewords appear as noise due to
  decorrelation.
• For detection of the message signal, the receiver
  needs to know the codeword used by the transmitter.
   Code Division Multiple Access
▪ To compat near—far problem, power control
  is used in most CDMA implementations.
▪ Multipath fading is reduced.
▪ Soft handoff is performed by MSC
▪ If spreading sequences of different users are
  not exactly orthogonal then self jamming
  occurs