On the impact of links characterization and power allocation in relay assisted communications

Relay assisted communications exploit cooperative diversity to efficiently extend area coverage or improve the performance in wireless channels. We propose a mathematical framework to analyze the frame error probability (FEP) at the destination depending on distributed coding, nodes spatial distribution, and power allocation among source and relay nodes. We evaluate the impact of cooperative links characterization on the overall FEP at the destination by considering simple approximations on the link FEP which depend on the signal-to-noise ratio and diversity. We consider a number of power allocation techniques such as uniform, ideal power control, outage-optimal, and FEP-optimal. Results are given for a case study in which pragmatic space-time codes are employed as distributed coding technique. Analytical results are confirmed by simulations that are given to serve as a benchmark for the considered cases. The framework enables the system designer to allocate power and individuate the best relay position to minimize the FEP.

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

[2]  Elza Erkip,et al.  Cooperative coding for wireless networks , 2004, IEEE Trans. Commun..

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

[4]  Moe Z. Win,et al.  Opportunistic cooperative diversity with feedback and cheap radios , 2008, IEEE Transactions on Wireless Communications.

[5]  Hyundong Shin,et al.  Cooperative Communications with Outage-Optimal Opportunistic Relaying , 2007, IEEE Transactions on Wireless Communications.

[6]  Andrea Conti,et al.  Effects of Nodes Geometry and Power Allocation in Space-Time Coded Cooperative Wireless Systems , 2011, Mob. Networks Appl..

[7]  Harry Leib,et al.  Evaluating the performance of convolutional codes over block fading channels , 1999, IEEE Trans. Inf. Theory.

[8]  Alexander M. Haimovich,et al.  Decode-and-Forward Cooperative Diversity with Power Allocation in Wireless Networks , 2007, IEEE Transactions on Wireless Communications.

[9]  Branka Vucetic,et al.  Performance Analysis of Distributed Space-Time Block-Encoded Sensor Networks , 2006, IEEE Transactions on Vehicular Technology.

[10]  Marco Chiani,et al.  Partial compensation signal-level-based up-link power control to extend terminal battery duration , 2001, IEEE Trans. Veh. Technol..

[11]  Elza Erkip,et al.  Cooperative space-time coding for wireless networks , 2003, Proceedings 2003 IEEE Information Theory Workshop (Cat. No.03EX674).

[12]  Gerhard Fettweis,et al.  Relay-based deployment concepts for wireless and mobile broadband radio , 2004, IEEE Communications Magazine.

[13]  Marco Chiani,et al.  Pragmatic Space-Time Trellis Codes: GTF-Based Design for Block Fading Channels , 2011, IEEE Transactions on Signal Processing.

[14]  Dmitry Panchenko,et al.  Log-Concavity Property of the Error Probability With Application to Local Bounds for Wireless Communications , 2007, IEEE Transactions on Information Theory.

[15]  Marco Chiani,et al.  Pragmatic Space-Time Codes for Cooperative Relaying in Block Fading Channels , 2008, EURASIP J. Adv. Signal Process..

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

[17]  Elza Erkip,et al.  User cooperation diversity. Part II. Implementation aspects and performance analysis , 2003, IEEE Trans. Commun..

[18]  Mazen O. Hasna,et al.  Optimal power allocation for relayed transmissions over Rayleigh-fading channels , 2004, IEEE Transactions on Wireless Communications.

[19]  Moe Z. Win,et al.  Bit error outage for diversity reception in shadowing environment , 2003, IEEE Communications Letters.