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ROPAS: Cross-Layer Cognitive Architecture for Mobile UWB Networks

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Abstract

The allocation of bandwidth to unlicensed users, without significantly increasing the interference on the existing licensed users, is a challenge for Ultra Wideband (UWB) networks. Our research work presents a novel Rake Optimization and Power Aware Scheduling (ROPAS) architecture for UWB networks. Since UWB communication is rich in multipath effects, a Rake receiver is used for path diversity. Our idea of developing an optimized Rake receiver in our ROPAS architecture stems from the intention of reducing the computation complexity in terms of the number of multiplications and additions needed for the weight derivation attached to each finger of the Rake receiver. Our proposed work uses the Cognitive Radio (CR) for dynamic channel allocation among the requesting users while limiting the average power transmitted in each sub-band. In our proposed novel ROPAS architecture, dynamic channel allocation is achieved by a CR-based cross-layer design between the PHY and Medium Access Control (MAC) layers. Additionally, the maximum number of parallel transmissions within a frame interval is formulated as an optimization problem. This optimal decision is based on the distance parameter between a transmitter-receiver pair, bit error rate and frequency of request by a particular application. Moreover, the optimization problem improvises a differentiation technique among the requesting applications by incorporating priority levels among user applications. This provides fairness and higher throughput among services with varying power constraint and data rates required for a UWB network.

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References

  1. Reed J H. An Introduction to Ultra Wideband Communication System. Upper Saddle River: Prentice Hall, NJ, 2005.

    Google Scholar 

  2. Fette B. Cognitive Radio Technology. Communication Engineering Series, Burlington: Elsevier, USA, 2006.

    Google Scholar 

  3. Nandagopal S, Cordeiro C, Challapali K. Spectrum agile radios: Utilization and sensing architectures. In Proc. IEEE DySPAN2005, Baltimore, USA, Nov. 8–11, 2005.

  4. Yang J, Jiang Q, Manivannan D, Singhal M. A fault-tolerant distributed channel allocation scheme for cellular networks. IEEE Trans. Computers, May 2005, 54(5): 616–629.

    Article  Google Scholar 

  5. Boukerche A, Huang T, Abrougui K. Design and performance evaluation of a QoS-based dynamic channel allocation protocol for wireless and mobile networks. In Proc. IEEE MAS-COTS’05, Georgia, Atlanta, Sept. 27–29, 2005, pp.445–452.

  6. Heo J, Cha I, Chang K H. A novel transmit power allocation algorithm combined with dynamic channel allocation in reuse partitioning-based OFDMA/FDD system. In Proc. IEEE ICC’06, Istanbul, Turkey, June 11–15, 2006, pp.5654–5659.

  7. Cai J, Liu K H, Shen X, Mark J W, Todd T D. Power allocation and scheduling for MAC layer design in UWB networks. In Proc. IEEE QShine’05, Orlando, Florida, USA, Aug. 22–24, 2005, p.8.

  8. Nardis L D, Giancola G, Benedetto M G D. Power-aware design of MAC and routing for UWB networks. In Proc. IEEE Globecom 2004, Dallas, Texas, USA, Nov. 29-Dec. 3, 2004, pp.235–239.

  9. Benedetto M G D, Nardis L D. Cognitive routing in UWB networks. In Proc. IEEE ICUWB’06, Waltham, Massachusetts, USA, Sept. 2006, pp.381–386.

  10. Srivastava V, Motani M. Cross-layer design: A survey and the road ahead. IEEE Comm. Mag, Dec. 2005, 43(12): 112–119.

    Article  Google Scholar 

  11. Liu Q W, Zhou S L, Giannakis G B. Cross-layer scheduling with prescribed QoS guarantees for adaptive wireless networks. IEEE J. Sel. Areas in Comm., May 2005, 23(5): 1056–1066.

    Article  Google Scholar 

  12. Dimic G, Sidiropoulos N D, Zhang R. Medium access control-physical cross layer design. IEEE Signal Processing Mag., Sept. 2004, 21(5): 40–50.

    Article  Google Scholar 

  13. Sato H, Ohtsuki T. Computational complexity and performance of Rake receivers with channel estimation for DS UWB. IEEE Trans. Fundamentals, Sept. 2005, E88-A(9): 2318–2326.

    Article  Google Scholar 

  14. Boyd S, Vandeberghe L. Convex Optimization. Cambridge University Press, 2004.

  15. www.gnu.org/software/glpk.

  16. Harada H, Prasad R. Simulation and Software Radio for Mobile Communications. London: Artech House, 2002.

    Google Scholar 

  17. Stanczak S, Wiczanowski M, Boche H. Resource Allocation in Wireless Networks: Theory and Algorithms. Chapter 5, Berlin: Springer, 2006, pp.91–99.

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Correspondence to Chittabrata Ghosh.

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This work is supported by the National Science Foundation (NSF) of USA under Grant No. NeTS-WN0721641.

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Ghosh, C., Xie, B. & Agrawal, D.P. ROPAS: Cross-Layer Cognitive Architecture for Mobile UWB Networks. J. Comput. Sci. Technol. 23, 413–425 (2008). https://doi.org/10.1007/s11390-008-9143-x

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  • DOI: https://doi.org/10.1007/s11390-008-9143-x

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