Joint iterative power allocation and relay selection for cooperative MIMO systems using discrete stochastic algorithms

In this work, we propose a set of joint power allocation and relay selection (RS) algorithms for multi-relay cooperative multiple-input-multiple-output (MIMO) systems. Adaptive discrete stochastic algorithms (DSA) are used to generate a subset of relays over which stochastic gradient continuous power allocation operates. Optimum minimum mean-square error (MMSE) and adaptive reception are considered in a decode-and-forward (DF) network with a non-negligible direct path. Bit-error-rate (BER) comparisons are given against systems which lack joint RS and power allocation, and the proposed schemes are shown to achieve an increased rate of convergence, improved steady-state performance and involve the manipulation of smaller dimensionality matrices.

[1]  Dong Chen,et al.  Efficient power allocation schemes for MIMO cooperative relaying systems , 2010, 2010 International Conference on Computer Application and System Modeling (ICCASM 2010).

[2]  Rodrigo C. de Lamare.  Joint Power Allocation and Interference Suppression Techniques for Cooperative CDMA Systems , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[3]  Rodrigo C. de Lamare,et al.  Joint Transmit Diversity Optimization and Relay Selection for Multi-Relay Cooperative MIMO Systems Using Discrete Stochastic Algorithms , 2011, IEEE Communications Letters.

[4]  Rodrigo C. de Lamare,et al.  Minimum Mean-Squared Error Iterative Successive Parallel Arbitrated Decision Feedback Detectors for DS-CDMA Systems , 2008, IEEE Trans. Commun..

[5]  James R. Zeidler,et al.  Non-Wiener Mean Weight Behavior of LMS Transversal Equalizers With Sinusoidal Interference , 2008, IEEE Transactions on Signal Processing.

[6]  Simon Haykin,et al.  Adaptive Filter Theory 4th Edition , 2002 .

[7]  R. D. Lamare,et al.  Adaptive Reduced-Rank Processing Based on Joint and Iterative Interpolation, Decimation, and Filtering , 2009, IEEE Transactions on Signal Processing.

[8]  Kien T. Truong,et al.  Relay Architectures for 3GPP LTE-Advanced , 2009, EURASIP J. Wirel. Commun. Netw..

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

[10]  Yingbo Hua,et al.  Joint Source and Relay Optimization for a Non-Regenerative MIMO Relay , 2006, Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006..

[11]  James R. Zeidler,et al.  Non-Wiener Weight Behavior of LMS Transversal Equalizers , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[12]  Sigrún Andradóttir,et al.  A Global Search Method for Discrete Stochastic Optimization , 1996, SIAM J. Optim..

[13]  John S. Thompson,et al.  MIMO Configurations for Relay Channels: Theory and Practice , 2007, IEEE Transactions on Wireless Communications.

[14]  Nabih Alaoui.  Cooperative Communications In Mobile Ad hoc NETworks , 2013 .

[15]  James R. Zeidler,et al.  Nonlinear effects in LMS adaptive equalizers , 1999, IEEE Trans. Signal Process..

[16]  R. Michael Buehrer,et al.  Power allocation strategies in cooperative MIMO networks , 2006, IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006..

[17]  Yindi Jing,et al.  Joint Relay Selection and Power Allocation for Two-Way Relay Networks , 2011, IEEE Signal Processing Letters.

[18]  V. Krishnamurthy,et al.  Adaptive MIMO antenna selection via discrete stochastic optimization , 2005, IEEE Transactions on Signal Processing.