Rate constrained power control in space-time coded fading ad-hoc networks

Under aggregate data rate and loss constraints, we study the problem of power control for fading wireless ad-hoc networks accommodating space-time coded mobile nodes. Our study relies on modeling the underlying wireless channel with finite-state Markov chains and using Reed-Solomon channel coders to compensate for the temporally correlated loss observed in such networks. Our study shows that utilizing space-time coding techniques can reduce power consumption of ad-hoc networks under the given constraints. Further, we investigate the tradeoff between practicality and optimality by means of introducing centralized and decentralized power control schemes. We quantify the tradeoff by comparing different schemes together.

[1]  Mung Chiang,et al.  Resource allocation for QoS provisioning in wireless ad hoc networks , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[2]  Gregory J. Pottie,et al.  Radio link admission algorithms for wireless networks with power control and active link quality protection , 1995, Proceedings of INFOCOM'95.

[3]  Dimitri P. Bertsekas,et al.  Nonlinear Programming 2 , 2005 .

[4]  Stephen P. Boyd,et al.  Optimal power control in interference-limited fading wireless channels with outage-probability specifications , 2002, IEEE Trans. Wirel. Commun..

[5]  Mohammad Hayajneh,et al.  Performance of game theoretic power control algorithms in interference limited wireless fading channels , 2003 .

[6]  A. Robert Calderbank,et al.  Space-time block coding for wireless communications: performance results , 1999, IEEE J. Sel. Areas Commun..

[7]  A. Robert Calderbank,et al.  Space-Time block codes from orthogonal designs , 1999, IEEE Trans. Inf. Theory.

[8]  C. Abdallah,et al.  Performance of Game Theoretic Power Control Algorithms for Wireless Data in Fading Channels , 2003 .

[9]  Hamid Jafarkhani,et al.  Power optimization of wireless media systems with space-time block codes , 2004, IEEE Transactions on Image Processing.

[10]  Xiaoxin Qiu,et al.  On the performance of adaptive modulation in cellular systems , 1999, IEEE Trans. Commun..

[11]  Ram Ramanathan,et al.  Topology control of multihop wireless networks using transmit power adjustment , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[12]  Dimitri P. Bertsekas,et al.  Nonlinear Programming , 1997 .

[13]  Jens Zander,et al.  Gradual removals in cellular PCS with constrained power control and noise , 1995, Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications.

[14]  Roy D. Yates,et al.  Adaptive power control and MMSE interference suppression , 1998, Wirel. Networks.

[15]  Hamid Jafarkhani,et al.  Resource allocation in fading wireless ad-hoc networks with temporally correlated loss , 2004, 2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733).

[16]  Andrea J. Goldsmith,et al.  Degrees of freedom in adaptive modulation: a unified view , 2001, IEEE Trans. Commun..

[17]  S. T. Chung,et al.  Degrees of freedom in adaptive modulation: a unified view , 2001, IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Proceedings (Cat. No.01CH37202).

[18]  E. O. Elliott Estimates of error rates for codes on burst-noise channels , 1963 .

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

[20]  Paul G. Flikkema,et al.  Power-based leader selection in ad-hoc wireless networks , 1999, 1999 IEEE International Performance, Computing and Communications Conference (Cat. No.99CH36305).

[21]  Björn E. Ottersten,et al.  Second order statistics of NLOS indoor MIMO channels based on 5.2 GHz measurements , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).