Source Energy-Saving Performance in Amplify-and-Forward Relay-Assisted Wireless Systems

Nowadays, the increasing demand for higher data rate and ubiquitous connectivity of a smart phone significantly conflicts with its limited battery lifetime. In order to prolong the battery lifetime, we desire to save the uplink transmit power of a mobile terminal with the aid of a cooperative relay with higher transmit power level (e.g., powered by electrical networks), since the battery power is much more limited. In this paper, we consider a relay-aided two-hop system consisting one source (e.g., a mobile terminal in uplink), one Amplify-and-Forward (AF) relay and one destination (e.g., a base station). For this scenario, the source transmit power is reduced on the expense of the relay power. More precisely, we jointly optimize the transceiver strategies to minimize the source transmit power subject to a rate requirement. The closed-form optimal transceiver strategies are obtained when the perfect instantaneous channel statement information (CSI) is known. Furthermore, for the Rayleigh fading channel, an exact form of source energy-saving probability of this AF relay-aided transmission compared with direct transmission (DT) is derived. Monte Carlo simulations are provided to verify the analytical results, from which we additionally find the source energy-saving region for a source when the relay location is fixed and that for a relay when the source location is fixed.

[1]  Andrea J. Goldsmith,et al.  On Optimal Relay Placement and Sleep Control to Improve Energy Efficiency in Cellular Networks , 2011, 2011 IEEE International Conference on Communications (ICC).

[2]  Yingbo Hua,et al.  Optimal Design of Non-Regenerative MIMO Wireless Relays , 2007, IEEE Transactions on Wireless Communications.

[3]  Yik-Chung Wu,et al.  Exact Outage Probability of Dual-Hop CSI-Assisted AF Relaying Over Nakagami-$m$ Fading Channels , 2012, IEEE Transactions on Signal Processing.

[4]  Hanif D. Sherali,et al.  Optimal Power Allocation in Multi-Relay MIMO Cooperative Networks: Theory and Algorithms , 2012, IEEE Journal on Selected Areas in Communications.

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

[6]  Jonathan Rodriguez,et al.  Energy saving in multi-standard mobile terminals through short-range cooperation , 2012, EURASIP J. Wirel. Commun. Netw..

[7]  Lajos Hanzo,et al.  Green radio: radio techniques to enable energy-efficient wireless networks , 2011, IEEE Communications Magazine.

[8]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

[9]  Eduard A. Jorswieck,et al.  Optimal Beamforming in Interference Networks with Perfect Local Channel Information , 2010, IEEE Transactions on Signal Processing.

[10]  Ranjan K. Mallik,et al.  Analysis of K-Transmit Dual-Receive Diversity with Cochannel Interferers over a Rayleigh Fading Channel , 2003, Wirel. Pers. Commun..

[11]  Gregory W. Wornell,et al.  Energy-efficient antenna sharing and relaying for wireless networks , 2000, 2000 IEEE Wireless Communications and Networking Conference. Conference Record (Cat. No.00TH8540).

[12]  Chintha Tellambura,et al.  Unified Exact Performance Analysis of Two-Hop Amplify-and-Forward Relaying in Nakagami Fading , 2010, IEEE Transactions on Vehicular Technology.

[13]  Muhammad Mehboob Fareed,et al.  COOPERATIVE DIVERSITY SYSTEMS FOR WIRELESS COMMUNICATION , 2010 .