A Novel Quantize-and-Forward Cooperative System: Channel Estimation and M-PSK Detection Performance

A method to improve the reliability of data transmission between two terminals without using multiple antennas is cooperative communication, where spatial diversity is introduced by the presence of a relay terminal. The Quantize and Forward (QF) protocol is suitable to implement in resource constraint relays, because of its low complexity. In prior studies of the QF protocol, all channel parameters are assumed to be perfectly known at the destination, while in reality these need to be estimated. This paper proposes a novel quantization scheme, in which the relay compensates for the rotation caused by the source-relay channel, before quantizing the phase of the received M-PSK data symbols. In doing so, channel estimation at the destination is greatly simplified, without significantly increasing the complexity of the relay terminals. Further, the destination applies the expectation maximization (EM) algorithm to improve the estimates of the source-destination and relay-destination channels. The resulting performance is shown to be close to that of a system with known channel parameters.

[1]  Andrew G. Klein,et al.  Practical Quantize-and-Forward Schemes for the Frequency Division Relay Channel , 2007, EURASIP J. Wirel. Commun. Netw..

[2]  Michael R. Souryal,et al.  Quantize-and-Forward Relaying with M-ary Phase Shift Keying , 2008, 2008 IEEE Wireless Communications and Networking Conference.

[3]  Abbas El Gamal,et al.  Bounds on capacity and minimum energy-per-bit for AWGN relay channels , 2006, IEEE Transactions on Information Theory.

[4]  Abbas El Gamal,et al.  Capacity theorems for the relay channel , 1979, IEEE Trans. Inf. Theory.

[5]  Elza Erkip,et al.  User cooperation diversity. Part I. System description , 2003, IEEE Trans. Commun..

[6]  Ashutosh Sabharwal,et al.  Low density parity check codes for the relay channel , 2007, IEEE Journal on Selected Areas in Communications.

[7]  Gerard J. Foschini,et al.  Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas , 1996, Bell Labs Technical Journal.

[8]  Luc Vandendorpe,et al.  Turbo synchronization: an EM algorithm interpretation , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[9]  J. Nicholas Laneman,et al.  Cooperative diversity in wireless networks: algorithms and architectures , 2002 .

[10]  Murat Uysal,et al.  Impact of imperfect channel estimation on the performance of amplify-and-forward relaying , 2009, IEEE Transactions on Wireless Communications.

[11]  L. Litwin,et al.  Error control coding , 2001 .

[12]  Marc Moeneclaey,et al.  A novel Quantize-and-Forward cooperative system: Channel parameter estimation techniques , 2010, 2010 Future Network & Mobile Summit.

[13]  Henk Wymeersch,et al.  Iterative Receiver Design , 2007 .

[14]  Tharmalingam Ratnarajah,et al.  Turbo channel estimation and equalisation for a superposition-based cooperative system , 2009, IET Commun..

[15]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .