EE359 – Lecture 13 Outline Announcements

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EE359 – Lecture 13 Outline Announcements Midterm announcements No HW this week Introduction to adaptive modulation Variable-rate variable-power MQAM Optimal power and rate adaptation Finite constellation sets

Midterm Announcements Midterm: Thursday (11/9), 6-8 pm in Thornton 102 Food will be served after the exam! Review sessions completed Midterm logistics: Open book/notes; Bring textbook/calculators (have extras; adv. notice reqd) Covers Chapters 1-7 (sections covered in lecture and/or HW) Special OHs this week: Me: Wed 11/8: 9-11am, Thu 11/9: 12-2pm all in 371 Packard Milind: Tues 11/7, 4-6pm, 3rd Floor Packard Kitchen Area + email Tom: Wed 11/8: 5-7pm, Thu 11/9 2-4pm, 3rd Floor Packard Kitchen Area + email Midterms from past 3 MTs posted: 10 bonus points for “taking” a practice exam Solutions for all exams given when you turn in practice exam

Adaptive Modulation Change modulation relative to fading Parameters to adapt: Constellation size Transmit power Instantaneous BER Symbol time Coding rate/scheme Optimization criterion: Maximize throughput Minimize average power Minimize average BER Only 1-2 degrees of freedom needed for good performance

Variable-Rate Variable-Power MQAM Uncoded Data Bits Delay Point Selector M(g)-QAM Modulator Power: P(g) To Channel g(t) log2 M(g) Bits One of the M(g) Points BSPK 4-QAM 16-QAM Goal: Optimize P(g) and M(g) to maximize R=Elog[M(g)]

Optimization Formulation Adaptive MQAM: Rate for fixed BER Rate and Power Optimization Same maximization as for capacity, except for K=-1.5/ln(5BER).

Optimal Adaptive Scheme gk g Power Adaptation Spectral Efficiency g Equals capacity with effective power loss K=-1.5/ln(5BER).

Spectral Efficiency Can reduce gap by superimposing a trellis code K2 K=-1.5/ln(5BER) Can reduce gap by superimposing a trellis code

Constellation Restriction Restrict MD(g) to {M0=0,…,MN}. Let M(g)=g/gK*, where gK* is optimized for max rate Set MD(g) to maxj Mj: Mj  M(g) (conservative) Region boundaries are gj=MjgK*, j=0,…,N Power control maintains target BER M(g)=g/gK* M3 M(g)=g/gK MD(g) M3 M2 M2 M1 M1 Outage g0 g1=M1gK* g2 g3 g

Power Adaptation and Average Rate Fixed BER within each region Es/N0=(Mj-1)/K Channel inversion within a region Requires power increase when increasing M(g) Average Rate Practical Considerations: Update rate/estimation error and delay

Efficiency in Rayleigh Fading Spectral Efficiency (bps/Hz) Average SNR (dB)

Main Points Adaptive modulation leverages fast fading to improve performance (throughput, BER, etc.) Adaptive MQAM uses capacity-achieving power and rate adaptation, with power penalty K. Comes within 5-6 dB of capacity Discretizing the constellation size results in negligible performance loss. Constellations cannot be updated faster than 10s to 100s of symbol times: OK for most dopplers. Estimation error/delay causes error floor