Cooperative and Constrained MIMO Communications in Wireless Ad Hoc/Sensor Networks

In this paper, we investigate the issue of cooperative node selection in MIMO communications for wireless ad hoc/sensor networks, where a source node is surrounded by multiple neighbors and all of them are equipped with a single antenna. Given energy, delay and data rate constraints, a source node dynamically chooses its cooperating nodes from its neighbors to form a virtual MIMO system with the destination node (which is assumed to have multiple antennas), as well as adaptively allocates the power level and adjusts the constellation size for each of the selected cooperative nodes. In order to optimize system performance, we jointly consider the optimization of all these parameters, given the aforementioned system constraints. We assume that the source node either has CSI, or has no CSI. Heuristic algorithms, such as maximal channel gain (MCG) and least channel correlation (LCC) algorithms are proposed in order to exploit available system information and to solve the constrained optimization problem.

[1]  Ravi Narasimhan,et al.  Spatial multiplexing with transmit antenna and constellation selection for correlated MIMO fading channels , 2003, IEEE Trans. Signal Process..

[2]  Robert W. Heath,et al.  Statistical antenna selection for spatial multiplexing systems , 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

[3]  Jing Liang,et al.  SVD-QR-T FCM Approach for Virtual MIMO Channel Selection in Wireless Sensor Networks , 2007, International Conference on Wireless Algorithms, Systems and Applications (WASA 2007).

[4]  Huaiyu Dai,et al.  Adaptive Spatial Multiplexing Techniques for Distributed MIMO Systems , 2004 .

[5]  Ronald A. Iltis,et al.  Spectrally efficient communication for wireless sensor networks using a cooperative MIMO technique , 2007, Wirel. Networks.

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

[7]  Rohit U. Nabar,et al.  Introduction to Space-Time Wireless Communications , 2003 .

[8]  H. Bolcskei,et al.  Performance of space-time codes in the presence of spatial fading correlation , 2000, Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154).

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

[10]  Alexander M. Haimovich,et al.  Power allocation in a transmit diversity system with mean channel gain information , 2005, IEEE Communications Letters.

[11]  R. Muirhead.  Aspects of Multivariate Statistical Theory , 1982, Wiley Series in Probability and Statistics.

[12]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[13]  Ainslie,et al.  CORRELATION MODEL FOR SHADOW FADING IN MOBILE RADIO SYSTEMS , 2004 .

[14]  Huaiyu Dai,et al.  Joint antenna selection and link adaptation for MIMO systems , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[15]  James R. Zeidler,et al.  Information efficiency and transmission range optimization for coded MIMO FH-CDMA Ad Hoc networks in time-varying environments , 2009, IEEE Transactions on Communications.

[16]  Gene H. Golub,et al.  Matrix computations (3rd ed.) , 1996 .

[17]  Sudharman K. Jayaweera,et al.  Virtual MIMO-based cooperative communication for energy-constrained wireless sensor networks , 2006, IEEE Transactions on Wireless Communications.

[18]  Hamid Aghvami,et al.  Space-time block codes for virtual antenna arrays , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[19]  Jian-Kang Zhang,et al.  Equal-diagonal QR decomposition and its application to precoder design for successive-cancellation detection , 2005, IEEE Transactions on Information Theory.

[20]  Helmut Bölcskei,et al.  Performance of space-frequency coded broadband OFDM under real-world propagation conditions , 2002, 2002 11th European Signal Processing Conference.

[21]  James R. Zeidler,et al.  A Robust Coded MIMO FH-CDMA Transceiver for Mobile Ad Hoc Networks , 2007, IEEE Journal on Selected Areas in Communications.

[22]  L.B. Milstein,et al.  Impact of feedback errors in multiuser diversity systems , 2005, VTC-2005-Fall. 2005 IEEE 62nd Vehicular Technology Conference, 2005..

[23]  Andrea J. Goldsmith,et al.  Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks , 2004, IEEE Journal on Selected Areas in Communications.

[24]  M. Srivastava,et al.  Modulation scaling for energy aware communication systems , 2001, ISLPED'01: Proceedings of the 2001 International Symposium on Low Power Electronics and Design (IEEE Cat. No.01TH8581).