Reducing Transmit Power and Extending Network Lifetime via User Cooperation in the Next Generation Wireless Multihop Networks

  • Catovic, Amer (Dept. of Electrical and Computer Engineering, New Jersey Institute of Technology) ;
  • Tekinay, Sirin (Dept. of Electrical and Computer Engineering, New Jersey Institute of Technology) ;
  • Otsu, Toru (NTTDoCoMo Wireless Laoratories)
  • Published : 2002.12.01

Abstract

In this paper, we introduce a new approach to the minimum energy routing (MER) for next generation (NG) multihop wireless networks. We remove the widely used assumption of deterministic, distance-based channel model is removed, and analyze the potentials of MER within the context of the realistic channel model, accounting for shadowing and fading. Rather than adopting the conventional unrealistic assumption of perfect power control in a distributed multihop environment, we propose to exploit inherent spatial diversity of mobile terminals (MT) in NG multihop networks and to combat fading using transmit diversity. We propose the cooperation among MTs, whereby couples of MTs cooperate with each other in order to transmit the signal using two MTs as two transmit antennas. We provide the analytical framework for the performance analysis of this scheme in terms of the feasibility and achievable transmit power reduction. Our simulation result indicate that significant gains can be achieved in terms of the reduction of total transmit power and extension of network lifetime. These gains are in the range of 20-100% for the total transmit power, and 25-90% for the network lifetime, depending on the desired error probability. We show that our analytical results provide excellent match with our simulation results. The messaging load generated by our scheme is moderate, and can be further optimized. Our approach opens the way to a new family of channel-aware routing schemes for multihopNG wireless networks in fading channels. It is particularly suitable for delivering multicast/ geocast services in these networks.

Keywords

References

  1. D. J. Goodman, 'The wireless internet: Promises and challenges,' Com-puter. vol. 33, no. 7, pp. 36-41, July 2000 https://doi.org/10.1109/2.869368
  2. S. Tekinay and D.J. Goodman, Wireless Internet > Wireless + Internet CRC Handbook of Wireless Engineering
  3. A. Sendonaris, E. Erkip, and B. Aazhang, 'User cooperation diversity -Part I: System description,' IEEE Trans. Commun., 2002
  4. V. Rodoplu and T. Meng, 'Minimum energy mobile wireless networks,' IEEE J. Selected Areas Commun., vol. 17, no. 8, pp. 1333-1344, Aug. 1999 https://doi.org/10.1109/49.779917
  5. A. Michail and A. Ephremides, 'A distributed routing algorithm for supporting connection-oriented service in wireless networks with time-varying connectivity,' in Proc. Third IEEE Symp. Computers and Com-mun., ISCC'98, Athens, Greece, June 1998, pp. 587-591
  6. J.-H. Chang and L. Tassiulas, 'Routing for maximum system lifetime in wireless ad hoc networks,' in Proc. 37th Annual Alerton Conf. Commun., ControI and Computine, Monticello, IL, Sept. 1999
  7. J. Zander, 'Performance of optimum transmitter power control in cellular radio systems,' IEEE Trans. Vehicular TechnoI., vol. 41, no. 1, pp. 57-62, Feb. 1992 https://doi.org/10.1109/25.120145
  8. G.J. Foschini and Z. Miljanic, 'A simple distributed autonomous power control algorithm and its convergence,' IEEE Trans. Vehicular Technol., vol. 42, no. 4, pp. 641-646, Nov. 1993 https://doi.org/10.1109/25.260747
  9. Recommendation ITU-R M.1225, 'Guidelines for evaluation of radio transmission technologies for IMT-2000,' 1997
  10. J. Proakis, DigitaI Communications, McGraw-Hill Higher Education, 4th edition, August 2000
  11. G. L. Stuber, Principles of Mobile Communication. Kluwer Academic Publishers, Norwell, MA, 1996
  12. S.M. Alamouti, 'A simple transmit diversity technique for wireless com-munications,' IEEE J. Selected Areas Commun., vol. 16, no. 8, pp. 1451-1458. Oct. 1998 https://doi.org/10.1109/49.730453