ee359 – lecture 12 outline announcements midterm announcements hw 5 due friday, 11/4, at noon (no...
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Midterm Announcements Exam is November 7, 11am-1pm in this room. Open book/notes (bring book/calculators) Covers Chapters 1-7, HW 1-5. HW solutions available online Graded HW 3 back today, HW 4 maybe back tomorrow Review Session Thursday 5-6 or 6-7, room TBD Ritesh Extra OHs: Sat-Sun 11-1, Bytes café My Extra OHs: Th 3-4pm, F 11-12am, M 9:30-10:30am. Midterms and Solutions from ’02, ’03, ’04 on web 10 bonus points for taking practice exam (due by exam) These exams cover Chps. 1-7, similar format as our exam Remote SCPD students must have arrangementsTRANSCRIPT
EE359 – Lecture 12 Outline
AnnouncementsMidterm announcementsHW 5 due Friday, 11/4, at noon (no late
HWs)No HW next week (work on projects)
MGF Approach for Performance of MRC
EGCTransmit DiversityAdaptive ModulationAdaptive MQAM
Review of Last Lecture
Introduction to Diversity Combining Techniques Performance of SC Diversity in Fading
Combiner SNR is maximum of branch SNRs.CDF easy to obtain, pdf found by differentiating.Diminishing returns with number of antennas.Can get up to about 10-20 dB of gain.
Performance of MRC Diversity in FadingHard to get pdf of output SNR, except Rayleigh
fadingIn Rayleigh fading, obtain Pout and average Ps.
Midterm Announcements
Exam is November 7, 11am-1pm in this room. Open book/notes (bring book/calculators) Covers Chapters 1-7, HW 1-5.
HW solutions available onlineGraded HW 3 back today, HW 4 maybe back tomorrow
Review Session Thursday 5-6 or 6-7, room TBDRitesh Extra OHs: Sat-Sun 11-1, Bytes caféMy Extra OHs: Th 3-4pm, F 11-12am, M 9:30-10:30am.
Midterms and Solutions from ’02, ’03, ’04 on web10 bonus points for taking practice exam (due by exam)These exams cover Chps. 1-7, similar format as our exam
Remote SCPD students must have arrangements
MRC and its Performance
With MRC, =i for branch SNRs iOptimal technique to maximize output SNRYields 20-40 dB performance gainsDistribution of hard to obtain
Standard average BER calculation
Hard to obtain in closed form Integral often diverges
MGF Approach
MMbbb dddpppPdpPP ...)(...)()()(...)()( 21**2*1
dgPM
iiib
5.
0 12 ;
sin1 M
EGC and Transmit Diversity
EGQ simpler than MRCHarder to analyzePerformance about 1 dB worse than
MRC
Transmit diversityWith channel knowledge, similar to
receiver diversity, same array/diversity gain
Without channel knowledge, can obtain diversity gain through Alamouti scheme: works over 2 consecutive symbols
Adaptive Modulation Change modulation relative to fading
Parameters to adapt:Constellation sizeTransmit power Instantaneous BERSymbol timeCoding rate/scheme
Optimization criterion:Maximize throughputMinimize average powerMinimize average BER
Only 1-2 degrees of freedom needed for good performance
Variable-Rate Variable-Power MQAM
UncodedData Bits Delay Point
SelectorM()-QAM ModulatorPower: P()
To Channel
(t) (t)
log2 M() Bits One of theM() Points
BSPK 4-QAM 16-QAM
Goal: Optimize P() and M() to maximize R=Elog[M()]
Optimal Adaptive Scheme
Power Adaptation
Spectral Efficiency
else0
)( 0
0
11KKK
PP
1
0
1K
k
RB
p dK K
log ( ) .2
Equals Shannon capacity with effective power loss K=-1.5/ln(5BER).
Spectral Efficiency
K1
K2
K=-1.5/ln(5BER)
Can reduce gap by superimposing a trellis code
Main Points Analysis of MRC simplified using MGF approach
EGC easier to implement than MRC: hard to analyze.Performance about 1 dB worse than MRC
Transmit diversity can obtain diversity gain even without channel information at transmitter.
Adaptive modulation varies modulation parameters relative to fading.
Variable-rate variable-power MQAM comes within 5-6 dB of capacity (power penalty K)Same adaptation that achieves capacity