Decode-and-forward differential modulation scheme with threshold-based decision combining

This paper proposes a threshold-based differential decode-and-forward cooperative scheme that efficiently exploits the cooperative relay channels via the use of a pre-determined decision threshold. In the proposed scheme, the source information is forwarded by the relay only if it is correctly decoded. The properly-designed threshold enables the destination to decide whether the received signal from the relay contains information such that the received signals from the source and the relay can be efficiently combined and jointly decoded. The bit error rate (BER) analysis of the proposed scheme is analyzed in case of differential M-ary phase shift keying signals. A tight BER approximation is established, and BER upper bound and lower bound are determined. Based on the tight BER approximation, joint optimum decision threshold and power allocation is numerically evaluated. Both analytical and simulation results reveal that the decision threshold and the power allocation depend on channel link qualities. Interestingly, when the link quality between the relay and the destination is very good, the effect of the threshold dominates the effect of the power allocation at high signal-to-noise ratio. Extensive simulation results are provided to validate the merit of the proposed scheme and confirm the theoretical analysis

[1]  Mohamed-Slim Alouini,et al.  Performance analysis of two-hop relayed transmissions over Rayleigh fading channels , 2002, Proceedings IEEE 56th Vehicular Technology Conference.

[2]  K.J.R. Liu,et al.  A class of cooperative communication protocols for multi-node wireless networks , 2005, IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005..

[3]  Marvin K. Simon,et al.  Digital Communication Techniques: Signal Design and Detection , 2008 .

[4]  J. Nicholas Laneman,et al.  Noncoherent demodulation for cooperative diversity in wireless systems , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[5]  Aria Nosratinia,et al.  Coded cooperation in wireless communications: space-time transmission and iterative decoding , 2004, IEEE Transactions on Signal Processing.

[6]  J. Woods,et al.  Probability and Random Processes with Applications to Signal Processing , 2001 .

[7]  Mohamed-Slim Alouini,et al.  A unified approach to the probability of error for noncoherent and differentially coherent modulations over generalized fading channels , 1998, IEEE Trans. Commun..

[8]  Robert F. Pawula Generic error probabilities , 1999, IEEE Trans. Commun..

[9]  Gregory W. Wornell,et al.  An efficient protocol for realizing cooperative diversity in wireless networks , 2001, Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252).

[10]  Gregory W. Wornell,et al.  Cooperative diversity in wireless networks: Efficient protocols and outage behavior , 2004, IEEE Transactions on Information Theory.

[11]  K. J. Ray Liu,et al.  SER performance analysis and optimum power allocation for decode-and-forward cooperation protocol in wireless networks , 2005, IEEE Wireless Communications and Networking Conference, 2005.

[12]  Bertrand M. Hochwald,et al.  Differential unitary space-time modulation , 2000, IEEE Trans. Commun..

[13]  Vijay K. Bhargava,et al.  Differential modulation for two-user cooperative diversity systems , 2004, IEEE Journal on Selected Areas in Communications.

[14]  Gordon L. Stuber,et al.  Principles of mobile communication (2nd ed.) , 2001 .