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Advanced Wireless Transmission Technologies
  • Analysis and Design
  • Hong-Chuan Yang, Mohamed-Slim Alouini
  • Published online:
    10 January 2020
    Print publication:
    30 January 2020
  • Elucidating fundamental design principles by means of accurate trade-off analysis of relevant design options using suitable mathematical tools, this is the first book to provide a coherent treatment of transmission technologies essential to current and future wireless systems. Develop in-depth knowledge of the capabilities and limitations of wireless transmission technologies in supporting high-quality wireless transmission services, and foster a thorough understanding of various design trade-offs, to help identify an ideal choice for your own application requirements. Key technologies such as advanced diversity combining, multi-user scheduling, multi-user multi-antenna transmission, relay transmission, and cognitive radio are examined, making this an essential resource for senior graduate students, researchers, and engineers working in wireless communications.

  • 5 - Adaptive transmission and reception

  • Hong-Chuan Yang, University of Victoria, Canada, Mohamed-Slim Alouini, King Abdullah University of Science and Technology, Saudi Arabia
  • Book:
    Order Statistics in Wireless Communications
    Published online:
    07 October 2011
    Print publication:
    08 September 2011, pp 97-161

  • Summary

    Introduction

    Most conventional diversity techniques target the worst-case scenario [1]. The general principle is to perform a fixed set of combining operations on differently faded replicas such that the combiner output signal exhibits a better quality. This basic design principle manifests itself in the conventional MRC, EGC, and SC schemes as well as those more recent advanced combining schemes discussed in the previous chapter, such as GSC, T-GSC, and GSEC. While this approach has proven to be very effective in improving the performance of wireless communication systems, especially when the channel experiences deep fades, it may lead to an inefficient utilization of the receiver processing resource when the channel becomes more favorable. Note that the same set of combining operations will still be performed even though the system performance may be acceptable with fewer combining operations in this case. This observation motivates the recent interest in adaptive diversity combining for receiver power-saving purposes.

    The basic idea of adaptive combining schemes is to adaptively utilize the diversity combiner resource in such a way that the combiner output signal satisfies a certain quality requirement. The generic structure of the adaptive diversity receiver is shown in Fig. 5.1. Specifically, the receiver will just perform enough combining operations such that the quality of the combiner output signal becomes acceptable. For example, minimum selection GSC (MS-GSC) [2–4] is one of the first adaptive combining schemes.

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