Performance Analysis of Amplify and Forward Cooperative Relaying Protocol in Wireless Communication System

Cooperative relaying has been well appreciated to be a key concept of future wireless systems capable of yielding high network reliability and significant error rate reduction. However, in such paradigm of communication, the total limited power may be wasted without providing minimum performance requirements such as network lifetime if it is not well allocated between the cooperating nodes in an efficient way. In this work, we mainly address the problem of network lifetime limitation in wireless relay communication system by developing optimal power allocation techniques. In the communication scenario, a source sends information to a destination with the help of multiple relay nodes operating in amplify-and-forward relaying protocol. As a parameter of measurement, we particularly address the symbol error rate (SER) performance for MPSK signal using the concept of moment generating function. Due to the complexity of the closed-form SER expression, we then find a tight corresponding lower bound to show useful insights in terms of analysis. Next, we develop a cooperation strategy where only a best relay that maximizes the end-to-end signal-to-noise ratio assists the transmission to further improve the performance of the previous system. In addition, numerical results are presented to validate the theoretical analysis.

[1]  D. G. Brennan,et al.  Linear diversity combining techniques , 2003 .

[2]  Dimitri P. Bertsekas,et al.  Constrained Optimization and Lagrange Multiplier Methods , 1982 .

[3]  Πολύζου Λυδία Digital Communications Over Generalized Fading Channels , 2014 .

[4]  Yuguang Fang,et al.  The Capacity of Wireless Ad Hoc Networks Using Directional Antennas , 2011, IEEE Transactions on Mobile Computing.

[5]  Raviraj S. Adve,et al.  Symbol error rate of selection amplify-and-forward relay systems , 2006, IEEE Communications Letters.

[6]  Sameer Kumar,et al.  Mobile communications: global trends in the 21st century , 2004, Int. J. Mob. Commun..

[7]  Wessam Ajib,et al.  Performance Analysis of Amplify-and-Forward Cooperative Networks with Relay Selection over Rayleigh Fading Channels , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[8]  Wei Yu,et al.  Multi-Cell MIMO Cooperative Networks: A New Look at Interference , 2010, IEEE Journal on Selected Areas in Communications.

[9]  Salama Ikki,et al.  Performance of Multiple-Relay Cooperative Diversity Systems with Best Relay Selection over Rayleigh Fading Channels , 2008, EURASIP J. Adv. Signal Process..

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

[11]  V. H. Mac Donald,et al.  Advanced mobile phone service: The cellular concept , 1979, The Bell System Technical Journal.

[12]  Yu Li,et al.  Performance analysis of relay channel with amplify-and-forward in cooperative communication system , 2010, 2010 3rd International Conference on Computer Science and Information Technology.

[13]  Mario Di Francesco,et al.  Energy conservation in wireless sensor networks: A survey , 2009, Ad Hoc Networks.

[14]  Salama Ikki,et al.  Performance Analysis of Cooperative Diversity Wireless Networks over Nakagami-m Fading Channel , 2007, IEEE Communications Letters.

[15]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[16]  K. J. Ray Liu,et al.  Outage analysis and optimal power allocation for multinode relay networks , 2007, IEEE Signal Processing Letters.

[17]  Franco Fuschini,et al.  The Cellular Concept , 2015 .

[18]  Mohamed-Slim Alouini,et al.  A unified approach to the performance analysis of digital communication over generalized fading channels , 1998, Proc. IEEE.

[19]  Alexander M. Haimovich,et al.  Power allocation for cooperative relaying in wireless networks , 2005, IEEE Communications Letters.

[20]  Mostafa Kaveh,et al.  Exact symbol error probability of a Cooperative network in a Rayleigh-fading environment , 2004, IEEE Transactions on Wireless Communications.

[21]  S. Barbarossa,et al.  MIMO cognitive radio: A game theoretical approach , 2008, SPAWC 2008.

[22]  Mohamed-Slim Alouini,et al.  Digital Communication Over Fading Channels: A Unified Approach to Performance Analysis , 2000 .

[23]  K. J. Ray Liu,et al.  Cooperative Communication Protocols in Wireless Networks: Performance Analysis and Optimum Power Allocation , 2008, Wirel. Pers. Commun..

[24]  Gregory W. Wornell,et al.  Distributed space-time-coded protocols for exploiting cooperative diversity in wireless networks , 2003, IEEE Trans. Inf. Theory.