Coding for MIMO Communication Systems by Tolga M. Duman
By Tolga M. Duman
Coding for MIMO verbal exchange structures is a accomplished advent and evaluation to a number of the rising coding thoughts constructed for MIMO verbal exchange platforms. the fundamentals of instant communications and primary problems with MIMO channel potential are brought and the space-time block and trellis coding innovations are lined intimately. different signaling schemes for MIMO channels also are thought of, together with spatial multiplexing, concatenated coding and iterative deciphering for MIMO platforms, and space-time coding for non-coherent MIMO channels. sensible matters together with channel correlation, channel estimation and antenna choice also are explored, with difficulties on the finish of every bankruptcy to explain many very important topics.A complete publication on coding for MIMO concepts overlaying major strategiesTheories and functional matters on MIMO communications are tested in detailEasy to keep on with and obtainable for either rookies and skilled practitioners within the fieldReferences on the finish of every bankruptcy for additional readingCan be used comfortably as a examine publication, or a textbook on a graduate or complex undergraduate point courseThis ebook is geared toward complicated undergraduate and postgraduate scholars, researchers and practitioners in undefined, in addition to contributors operating for presidency, army, technology and know-how associations who want to study extra approximately coding for MIMO verbal exchange structures.
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Other LSTC schemes such as the multilayered and threaded space-time coding are also discussed. These schemes provide some trade-off between spatial diversity and spatial multiplexing, which is needed in certain applications. We also consider various detection approaches for these layering schemes, including those detectors based on the zero forcing (ZF) and minimum mean-squared error (MMSE) criteria. Concatenated codes and iterative decoding are treated in detail in Chapter 7. We consider serial and parallel concatenated codes for additive white Gaussian noise (AWGN) channels.
Time variations of wireless channels can be described using several channel models. For quasi-static fading channels, the channel remains the same for an entire frame of data, and it changes from one frame to the next. , the channel is non-ergodic. Block fading channels are used as proper models if channel fading is constant for a block of symbols, and changes from one block to another. However, the frame may consist of many differently faded blocks. Block fading models could be encountered if, for example, frequency hopping is employed and different parts of the frame are transmitted in different frequency bands.
This is also in sharp contrast with the wireline channels which are typically constant. For a clear understanding of wireless channels, their multipath and time variations should be characterized properly and suitable channel models should be developed. 1 Path Loss, Shadowing and Small-Scale Fading The effects of multipath propagation and time variations in a wireless channel can be observed in the received signal power levels. A ﬁrst order characterization of the average received signal power level is obtained by using path loss models.