Orthogonal Frequency Domain Multiplexing
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1 Chapter 19 Orthogonal Frequency Domain Multiplexing 450
2 Contents Principle and motivation Analogue and digital implementation Frequency-selective channels: cyclic prefix Channel estimation Peak-to-average ratio Inter-channel interference Adaptive modulation Multi-carrier CDMA 451
3 PRINCIPLE, MOTIVATION AND BASIC IMPLEMENTATION 452
4 Principle (1) For very high data rates, equalization and Rake reception becomes difficult Product of maximum excess delay (with respect to small symbol duration) and large system bandwidth makes high data rates tough Especially critical for wireless LANs and PANs Solution: transmit multiple data streams with lower rates on several carriers Have carriers multiplexed in the most efficient possible way: Signals on the carriers can overlap and stay orthogonal 453
5 Principle (2) How close can we space the carriers? f n nw/n W N/T S Carriers are still orthogonal i 1 T c n c k S exp j2 f n t exp j2 f k t dt c n c k nk its 454
6 OFDM Orthogonality OFDM Signal in the Frequency Domain showing where the peak of one subcarrier is in the null of another (eliminating interference) Subcarrier Spacing f b = iw/n where i = integer W = N/T s W = total bandwidth available T s = symbol duration N = # of distinct carriers for N parallel data streams
7 Analogue vs. digital implementation (Fig 19.2 Page 419) Analog implementation Digital implementation 455
8 Why can we use an IFFT? Transmit signal is s t i With basis pulse g n t Transmit signal sampled at This is the definition of an IFFT 1 s i t i T S N 1 c n,i g n t it S n 0 exp j2 n t T S for 0 t T S 0 otherwise t k kt S /N s k s t k 1 N 1 c n,0 exp j2 n k. T N S n 0 456
9 Frequency-selective channels Cyclic prefix, i.e., repeat last samples at beginning of symbol Converts linear to circular convolution 457
10 Performance in frequency-selective channels 458
11 Performance in frequency-selective channels (continued) 459
12 Performance in frequency-selective channels (continued) How to improve performance? adaptive modulation (different signal alphabets in different subcarriers) Coding across different tones 460
13 ADVANCED IMPLEMENTATION ISSUES 461
14 Channel estimation Easiest approach: dedicated pilot symbols Estimated channel gain on subchannel n h LS n,i r n,i /c n,i where r is the received signal and c the transmit signal Performance improvement: Channels on subcarriers are correlated Exploit that knowledge for noise averaging h LMMSE 1 LS i R hh LSR h h LS h LS i R hh LS R h LS h LS : covariance matrix between channel gains and least-squares estimate of channel gains, : autocovarance matrix of least-squares estimates 462
15 Channel estimation (continued) Reduction of overhead by scatterered pilots 463
16 Effect of PAR Problem (Peak Average Problem) Increases BER Copyright: Wiley 464
17
18 Remedies for the PAR problem (2) Residual cutoff results in spectral regrowth Copyright: Wiley 466
19 Remedies for the PAR problem (3) Coding for PAR reduction Phase adjustments Cannot guarantee certain PAR 467
20 Remedies for PAR problem (4) Correction by multiplicative factor Simplest case: clipping More gentle: Gaussian functions s t s t 1 n max 0, s k A 0 s k exp t2 2 t 2 Correction by additive factor 468
21 Intercarrier Interference (ICI) Intercarrier interference occurs when subcarriers are not Delay dispersion leads to a loss of orthogonality between subcarriers orthogonal anymore 469
22 Remedies for ICI (1) Optimize the carrier spacing and symbol duration Larger subcarrier spacing leads to smaller ICI Larger spacing leads to shorter symbol duration: more sensitive to ICI; cyclic prefix makes it less spectral efficient Maximize SINR E S N 0 P sig E S N 0 P sig N N cp N N N cp N P ISI P ICI P sig 1 Optimum choice of OFDM basis signals 470
23 Remedies for ICI (2) Self-interference cancellation Frequency-domain equalizers 471
24 Waterfilling To optimize capacity, different powers should be allocated to the subcarriers Waterfilling: P n max 0, 2 n with n 2 P n 1 N P n 472
25 MUTLICARRIER CDMA (MC-CDMA) AND SINGLE-CARRIER FREQUENCY- DOMAIN EQUALIZATION (SC-FDE) 473
26 And now for the mathematics A code symbol c is mapped onto a transmit vector, by multiplication with spreading code p. For parallel transmission of symbols: a vector of transmit symbols c is mapped by multiplication with a spreading matrix P that consists of the spreading codes for the different symbols c Pc P p 1 p 2...p N Symbol spreading is undone at the receiver r H c n P H 1 r P H 1 HPc P H 1 n c n 474
27 Transceiver structure for MC-CDMA 475
28 SC-FDE Principle Move the IFFT from the TX to the RX 476
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