By L. Hanzo, C. H. Wong, M. S. Yee(auth.)

ISBN-10: 0470846895

ISBN-13: 9780470846896

ISBN-10: 047084776X

ISBN-13: 9780470847763

Adaptive instant Transceivers presents the reader with a extensive evaluate of near-instantaneously adaptive transceivers within the context of TDMA, CDMA and OFDM structures. The adaptive transceivers tested hire strong faster formats, rapid equalisers and space-time formats, equipping the reader with a future-proof technological highway map. It demonstrates that adaptive transceivers are in a position to mitigating the channel caliber fluctuations of the instant channel as a lower-complexity substitute to space-time coding. in contrast, if the better complexity of a number of transmitters and a number of receiver-assisted platforms is deemed applicable, the benefits of adaptability erode.

  • Provides an in-depth advent to channel equalisers and Kalman filtering and discusses the linked complexity as opposed to functionality trade-offs
  • Introduces wideband near-instantaneously adaptive transceivers and reviews their functionality either with and with out rapid channel coding
  • Describes the best way to optimise adaptive modulation mode switching and highlights quite a number functional issues
  • Introduces neural community dependent channel equalisers and discusses Radial foundation functionality (RBF) assisted equalisers embedded into adaptive modems supported through rapid channel coding and rapid channel equalisation
  • Employs the above adaptive ideas additionally within the context of CDMA and OFDM transceivers and discusses the professionals and cons of space-time coding as opposed to adaptive modulation

Researchers, complex scholars and working towards improvement engineers operating in instant communications will all locate this important textual content an informative read.  Content:
Chapter 1 Prologue (pages 1–17):
Chapter 2 advent To Equalizers (pages 19–44):
Chapter three Adaptive Equalization (pages 45–79):
Chapter four Adaptive Modulation (pages 81–122):
Chapter five Turbo–Coded and Turbo–Equalised Wideband Adaptive Modulation (pages 123–190):
Chapter 6 Adaptive Modulation Mode Switching Optimization (pages 191–255): B. J. Choi and L. Hanzo
Chapter 7 useful concerns of Wideband AQAM (pages 257–296):
Chapter eight Neural community established Equalization (pages 297–383):
Chapter nine RBF?Equalized Adaptive Modulation (pages 385–415):
Chapter 10 RBF Equalization utilizing rapid Codes (pages 417–452):
Chapter eleven RBF rapid Equalization (pages 453–493):
Chapter 12 Burst?by?Burst Adaptive Multiuser Detection CDMA (pages 495–534): E. L. Kuan and L. Hanzo
Chapter thirteen Adaptive Multicarrier Modulation (pages 535–587): T. Keller and L. Hanzo
Chapter 14 Space?Time Trellis Coding as opposed to Adaptive Modulation (pages 589–637): T. H. Liew and L. Hanzo
Chapter 15 Conclusions and proposals for extra learn (pages 639–651):

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Extra resources for Adaptive Wireless Transceivers: Turbo-Coded, Turbo-Equalized and Space-Time Coded TDMA, CDMA and OFDM Systems

Example text

This resultedin a decreasein interference power, which translated to an increase in system capacity. Hashimoto, Sampei and Morinaga [78] extended thiswork also to demonstrate that the proposed systemwas capable o f achieving a higheruser capacity with a reduced hand-off margin and lower average transmitter power. A variablerate CDMA scheme- where the transmission ratewas modified by varying the channel code rate and, correspondingly, the M-ary modulation constellations - was investigated by Lau and Maric [38].

We note furthermore that the set of switching levels derived in [26,28] is based on Powell’s multidimensional optimization technique 1291 and hence the optimization processmay become trapped in a local minimum. This problem was overcome by Choi and Hanzo upon deriving an optimum set of switching levels [27], when employing the Lagrangian multiplier technique. Itwas shown that this setof switching levels resultsin the global optimumin a sense thatthe corresponding AQAM scheme obtains the maximum possible average BPS throughput, while maintaining the target average BER.

The performance comparison of various multiuser detectors in the context of a multiple-SF transmission scheme was presented for example by Juntti [74], where the detectors compared were the decorrelator, the PIC receiver and the so-called group serial interference cancellation (GSIC) receiver. It was concluded that the GSICand the decorrelator performed betterthan the PIC receiver, but all the interference cancellation schemes including the GSIC, exhibitedan error floor at high SNRs dueto error propagation.

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Adaptive Wireless Transceivers: Turbo-Coded, Turbo-Equalized and Space-Time Coded TDMA, CDMA and OFDM Systems by L. Hanzo, C. H. Wong, M. S. Yee(auth.)

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