Joint CFO and Channel Estimation for CP-OFDM Modulated Two-Way Relay Networks

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1 Joint CFO and Channel Estimation for CP-OFDM Modulated Two-Way Relay Networks Gongpu Wang, Feifei Gao, Yik-Chung Wu, and Chintha Tellambura University of Alberta, Edmonton, Canada, Jacobs University, Bremen, Germany The University of Hong Kong, Hong Kong ICC 10

2 2

3 Two-way relay networks (TWRN) can enhance the overall communication rate [Boris Rankov, 2006], [J.Ponniah, 2008]. T 1 h 1 R h T 2 2 f 1 f r f 2 Figure 1: System configuration for two-way relay network. 3

4 Most existing works in TWRN assumed perfect synchronization and channel state information (CSI). Channel estimation problems in amplify-and-forward (AF) TWRN are different from those in traditional communication systems. Flat-fading and frequency-selective channel estimation and training design for AF TWRN has been done in [Feifei Gao, 2009]. Our paper will focus on joint frequency offset (CFO) and channel estimation for AF-based cyclic-prefix (CP) OFDM-Modulated TWRN. 4

5 Joint CFO and Channel Estimation Problems With CFOs, the orthogonality between subcarriers will be destroyed in TWRN. Even with completed estimation, data detection is not simple as circular convolution no longer exists. How to estimate the mixed CFOs and channels and how to faciliate data detection? We introduce some redundancy and modify the cyclic-prefix (CP)-based OFDM TWRN system to facilitate both the joint estimation and detection. 5

6 CP-based OFDM protocol Traditionally, OFDM scheme at T i will add L cyclic-prefix (CP), where L is the channel length. Relay R just sample, amplify and forward. But with CFO, this will not work in TWRN. Proposed CP-based OFDM protocol: 1. T i adds a CP of length 2L in the front of s i ; 2. R removes only the first L symbols in the CP. By doing so, y cp, received signal at Terminal T 1, can then be expressed as y cp = α cp H cp (N) [(Ω (L+1) [f 1 f r ]h 1 ) h 1 ]s 1 +n e }{{} a +α cp e j2πvlt s Γ (N) [v]h cp (N) [(Ω (L+1) [f 2 f r ]h 1 ) h 2 ]s 2, (1) }{{} b where Ω (K) [f] = diag{e j2πf(k 1)T s,...,e j2πft s,1}, means the N-point circular convolution, and H cp (N) [x] is the N N circulant matrix with the first column [x T,0 T 1 (N L 1) ]T. 6

7 Joint Estimation We can rewrite y cp as where S (N) i column s i. y cp = S (N) 1 a+γ (N) [v]s (N) 2 b+n e, (2) is the N (2L+1) circulant matrix with first The LS estimation can be directly expressed as {â, b, v} = arg min a,b,v y S 1a ΓS 2 b 2, (3) Denote C = [S 1,ΓS 2 ] and d = [a T,b T ] T. Joint CFO and channel estimation: d = (C H C) 1 C H y, (4) v = argmin v y C d 2 = argmax v y H C(C H C) 1 C H y. (5) 7

8 Approximated Cramér-Rao Bound (ACRB) Let µ = S 1 a+γs 2 b, and define η [v,r{a} T,I{a} T,R{b} T,I{b} T ] T. (6) The Fisher Information Matrix (FIM) is obtained as: F = 2 [ ] µ H µ σne 2 R η η T = 2 F 11 r T s T r K V T, σne 2 (7) s V N where F 11 = b H S H 2 D 2 S 2 b, D = 2πT s diag{0,1,...,(n 1)}, [ ] [ ] I(S H r = 1 DΓS 2 b) I(S H R(S H, s = 2 DS 2 b) 1 DΓS 2 b) R(S H, 2 DS 2 b) [ ] R(S H K = 1 S 1 ) I(S H 1 S 1 ) I(S H 1 S 1) R(S H 1 S, N = 1) [ ] R(S H V = 2 Γ H S 1 ) I(S H 2 Γ H S 1 ) I(S H 2 Γ H S 1 ) R(S H 2 Γ H. S 1 ) [ R(S H 2 S 2 ) I(S H 2 S 2 ) I(S H 2 S 2) R(S H 2 S 2) ], 8

9 The CRB of CFO is the upper-left block in F 1, which can be explicitly calculated as: where ACRB(v) = σ2 ne 2 [F 11 t T 1Q 1 1 t 1] 1, (8) [ [ ] r K,V T t 1 =, Q s] 1 =. V,N The ACRBs of the channel estimates a, b are then given by ACRB(a) = AF 1 A H, (9) ACRB(b) = BF 1 B H, (10) were A = [0 (2L+1) 1,I,jI,0 I,0 I] B = [0 (2L+1) 1,0 I,0 I,I,jI], where I means (2L+1) (2L+1) identity matrix. 9

10 CFO MSE and CRB v MSE N=16 v CRB N=16 v MSE N=32 v CRB N= SNR (db) Figure 2: CFO estimation MSEs versus SNR for N = 16, 32, respectively. 10

11 Channel Estimation MSE and CRB a MSE N=16 a CRB N=16 a MSE N=32 a CRB N=32 b MSE N=16 b CRB N=16 b MSE N=32 b CRB N= SNR (db) Figure 3: Channel estimation MSEs versus SNR for N = 16, 32, respectively. 11

12 v MSE v CRB CFO MSEs N Figure 4: CFO estimation MSEs versus N for SNR= 10 db. 12

13 Channel Estimation MSE and CRB b MSE b CRB a MSE a CRB N Figure 5: Channel estimation MSEs versus N for SNR= 10 db. 13

14 Table 1: Comparison between ZP- and CP-OFDM modulated TWRN. ZP CP Transmitter activity add L zeros suffix add 2L cyclic prefix Relay activity add L zeros suffix remove L prefix Destination activity None remove L prefix Received signal length N + 2L N Spectrum efficiency N/(2N + 3L) N/(2N + 3L) Required Pilot Length N 2L+3 N 4L+3 Note: ZP-based OFDM protocl is proposed in our 2010 WCNC paper. 14

15 1. Adapt CP-based OFDM transmission scheme. 2. Suggest joint estimation method of CFO and channels. 3. Find ACRB. 15

16 1. Adapt CP-based OFDM transmission scheme. 2. Suggest joint estimation method of CFO and channels. 3. Find ACRB. Prolbem: We only find combined channels a and b. How to obtain individual frequency and channel parameters h 1 and h 2? (Globecom 2010) 15

17 Questions and discussion? 16

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