Wireless Communications over MIMO Channels: Applications to - download pdf or read online

By Volker Kuhn

ISBN-10: 0470027169

ISBN-13: 9780470027165

ISBN-10: 0470034602

ISBN-13: 9780470034606

Wireless Communications over MIMO Channels: purposes to CDMA and a number of Antenna Systems covers either, state of the art channel coding techniques and CDMA and a number of antenna platforms, infrequently present in different books at the topic.

Furthermore, a knowledge theoretical research of CDMA and SDMA platforms remove darkness from final limits and demonstrates the excessive power of those thoughts. in addition to spatial multiplexing, using a number of transmit antennas so as to elevate the hyperlink reliability by way of range techniques (space-time coding) is defined. one other concentration is the appliance of errors regulate coding in cellular radio communications

Accompanying appendices comprise: simple derivations, tables of usually used channel versions, chain principles for entropy and knowledge, facts processing theorem, fundamentals of linear algebra, Householder mirrored image and Givens rotation, and the LLL set of rules for lattice reduction.

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Extra resources for Wireless Communications over MIMO Channels: Applications to CDMA and Multiple Antenna Systems

Example text

This can be explained by the fact that the variations of γ [k] become very small for large D. As a consequence, instantaneous SNRs lying above the average Es /N0 occur less frequently than for low D resulting in the described effect. 27b shows the results for a fixed 10 log10 (Eb /N0 ) = 12 dB. Obviously, diversity can remarkably reduce the outage probability. 4, the expectation of the instantaneous error probability with respect to γ [k] has to be determined. d. diversity branches can be found in (Proakis 2001) Ps = 1−µ 2 D−1 D · D−1+ · =0 1+µ 2 with µ= γ .

4) – was found by Viterbi in 1967 (Viterbi 1967). Forney showed in (Forney 1972) that the Viterbi algorithm is optimal for detecting sequences in the presence of ISI. notational simplicity, pY|X=˜x (y) is simplified to pY|˜x (y) and equivalently Pr{X = x˜ } to Pr{˜x}. The term pY (y) can be neglected because it does not depend on x˜ . 6 For INTRODUCTION TO DIGITAL COMMUNICATIONS 19 Orthogonal Frequency Division Multiplexing (OFDM) and CDMA systems offer different solutions for sequence detection in ISI environments.

68) Obviously, the matched filter is simply the Hermitian of the vector hk normalized to unit energy. 69) and its SNR amounts to SNR = hk hH hk σX2 hH · k H k = hk 2 hk hk σN 2 · Es . 70) For a SISO flat fading channel with a single coefficient hk , the matched filter reduces to a scalar weighting with h∗k /|hk |. Moreover, if real-valued modulation schemes are employed (see next section), the imaginary part of r[k] does not contain any information and r[k] = Re wH yk represents a sufficient statistic.

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Wireless Communications over MIMO Channels: Applications to CDMA and Multiple Antenna Systems by Volker Kuhn

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