Revisiting Wireless Communications

  • Jianhua Lu
  • Xiaoming Tao
  • Ning Ge
Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)


This chapter revisits the current communication systems, and emphasizes the significance of Shannon’s theorems in guiding their design. One necessary prerequisite for applying Shannon’s theorems is that the information source and transmission channel thus considered should have the property of stationary-ergodicity. However, emerging wireless technologies are facing new challenges in improving both their reliability and their system capacity, due to ever-increasing complexity and uncertainty caused by harsh interferences and complex services. In many of these scenarios, Shannon’s prerequisite may not always hold true for all systems; accordingly, the bit-based processing methods are not always the most appropriate. The search for a new processing paradigm is tantamount.


Wireless communications Complexity Uncertainty 


  1. 1.
    D. McQueen, “The momentum behind LTE adoption,” IEEE Commun. Mag., vol. 47, no. 2, pp. 44–45, Feb. 2009.CrossRefGoogle Scholar
  2. 2.
    3GPP, 3GPP specification: Requirements for further advancements for Evolved Universal Terrestrial Radio Access (E-UTRA) (LTE-Advanced) [Online]. Avialable: [Accessed 9 Jul. 2014].
  3. 3.
    C. E. Shannon, “A Mathematical Theory of Communication,” Bell Syst. Tech. J., vol. 27, pp. 379–423, 623–656, Jul. Oct., 1948.Google Scholar
  4. 4.
    D. J. C. MacKay, Information Theory, Inference, and Learning Algorithms, Cambridge: Cambridge University Press, 2003.zbMATHGoogle Scholar
  5. 5.
    T. M. Cover, and J. A. Thomas, Elements of Information Theory, 2nd Edition, Hoboken: Wiley-Interscience, 2012.Google Scholar
  6. 6.
    D. J. C. MacKay, and R. M. Neal, “Near Shannon performance of low density parity check codes,” Electronics Letters, vol. 32, no. 18, pp. 1645–1646, Sept. 1996.CrossRefGoogle Scholar
  7. 7.
    E. Berruto, M. Gudmundson, R. Menolascino, W. Mohr, and M. Pizarroso “Research Activities on UMTS Radio Interface, Network Architectures, and Planning,” IEEE Commun. Mag., vol. 36, no. 2, pp. 82–95, Feb. 1998.CrossRefGoogle Scholar
  8. 8.
    D. Knisely, S. Kumar, S. Laha, and S. Nanda “Evolution of Wireless Data Services: IS-95 to cdma2000,” IEEE Commun. Mag., vol. 36, no. 10, pp. 140–149, Oct. 1998.CrossRefGoogle Scholar
  9. 9.
    A. Yaver, P. Marsch, K. Pawlak, and F. S. Moya, “On the joint usage of MIMO and Multiflow in evolved HSPA networks,” in Proc. IEEE ICC’12, Cape Town, South Africa, Jun. 2012.Google Scholar
  10. 10.
    G. J. Sullivan, and T. Wiegand “Rate-distortion Optimization for Video Compression,” IEEE Sig. Proc. Mag., vol. 15, no. 11, pp. 74–90, Nov. 1998.CrossRefGoogle Scholar
  11. 11.
    V. K. Goyal, “Multiple Description Coding: Compression Meets the Network,” IEEE Sig. Proc. Mag., vol. 18, pp. 74–93, Sep. 2001.CrossRefGoogle Scholar
  12. 12.
    D. Tse, and P. Viswanath Fundamentals of Wireless Communication, 1st ed., Cambridge: Cambridge University Press, 2005.CrossRefGoogle Scholar
  13. 13.
    A. F. Molisch, Wireless Communications, 2nd ed., John Wiley & Sons Ltd., 2011.Google Scholar
  14. 14.
    W. R. Wu, G. L. Dong, and H. T. Li, Engineering and Technology of Deep Space TT&C System, 1st ed., Beijing: Science Press, 2013.Google Scholar
  15. 15.
    NASA, Where are the Voyagers?, Voyager 1, NASA, Jun. 2014. [Online]. Avialable: [Accessed 19 Jun. 2014].
  16. 16.
    D. D. Morabito, S. Shambayati, S. Finley, and D. Fort, “The Cassini May 2000 solar conjunction,” IEEE Trans. Antennas Propag., vol. 51, no. 2, pp. 201–219, Feb. 2003.CrossRefGoogle Scholar
  17. 17.
    B. L. Hao, “The Description of Complexity and “Complexity Science”,” Sci., vol. 51, pp. 3–8, 1999.Google Scholar
  18. 18.
    R. Ahlswede, “Multi-way Communication Channels,” in Proc. of the 2nd International Symposium on Information Theory (ISIT), Tsahkadsor, USSR, pp. 23–52, Sept. 1971.Google Scholar
  19. 19.
    T. M. Cover, “Broadcast Channels,” IEEE Trans. Inf. Theory, vol. 18, no. 1, pp. 2–14, Jan. 1972.CrossRefzbMATHMathSciNetGoogle Scholar
  20. 20.
    E. C. van der Meulen, “Three-Terminal Communication Channels,” Adv. Appl. Prob., vol. 3, no. 1, pp. 120–154, Spring 1971.CrossRefzbMATHGoogle Scholar
  21. 21.
    T. M. Cover, and A. A. El Gamal, “Capacity Theorems for the Relay Channel,” IEEE Trans. Inf. Theory, vol. 25, no. 5, pp. 572–584, Sep. 1979.CrossRefzbMATHGoogle Scholar
  22. 22.
    P. Gupta, and P. R. Kumar, “The Capacity of Wireless Networks,” IEEE Trans. Inf. Theory, vol. 46, no. 2, pp. 388–404, Mar. 2000.CrossRefzbMATHMathSciNetGoogle Scholar
  23. 23.
    M. Franceschetti, O. Dousse, D. N. C. Tse, and P. Thiran, “Closing the Gap in the Capacity of Wireless Networks Via Percolation Theory,” IEEE Trans. Inf. Theory, vol. 53, no. 3, pp. 1009–1018, Mar. 2007.CrossRefzbMATHMathSciNetGoogle Scholar
  24. 24.
    W. R. Bennett, “Statistics of regenerative digital transmission,” Bell. Syst. Tech. J., vol. 37, pp. 1501–1542, Nov. 1958.CrossRefGoogle Scholar

Copyright information

© The Author(s) 2015

Authors and Affiliations

  • Jianhua Lu
    • 1
  • Xiaoming Tao
    • 1
  • Ning Ge
    • 1
  1. 1.Department of Electronic EngineeringTsinghua UniversityBeijingChina

Personalised recommendations