Information Theory and Channel Coding

Chapter 9 presents the fundamentals of information theory and coding, which are required for understanding of the information measure, entropy and limits in signal transmission including the definition and derivative of the communication channel capacity. The coding theorem is separtelly presented. The chapter contains a part that defines the entropy of continuous and discrete Gaussian and uniform stochastic processes. The results of this unique analysis is essential to understand the notion of the continuous and discrete white Gaussian noise process. The block and convolutional codes, including hard decision Viterbi algorihthm are presented. The theory of iterative and turbo coding is presented in a form of a Project in the supplementary material, where several topics are defined and the related solutions are offered.

Efficient Turbo Inter-Leaver Based MIMO-OFDM System For Low Complexity Outdoor Communication

An arrangement of multiple antennas in both the receiver and transmitter called Multiple Input and Multiple Output (MIMO). The Orthogonal Frequency Division Multiplexing (OFDM) is enabled in MIMO system for high data wireless communications. Combination of both MIMO and OFDM Access (OFDMA) is a growing technology in next generation communication systems. In this work, the Bit Error Rate (BER) performance of MIMO-OFDMA is analyzed with Orthogonal Space Time Block Code (OSTBC), Maximum Ratio Combining (MRC) and Turbo coding scheme over flat fading channel are named as MIMO-MRC-OFDMA. OSTBC is a transmit diversity scheme, which is utilized for delivering an efficient transmission with high peak data rates that significantly improves the capacity of communication systems. Successively, the MRC diversity solves transmit and receive diversity from an OSTBC. MRC approach is applied in the receiving end for summing and weighing the received signals from the multiple paths. Besides, turbo coding scheme is utilized for error correction in a given code rate. The proposed system performance is evaluated in light of BER by varying the number of receive and transmit antennas such as 2×2, 2×4, 4×2 and 4×4

Performance on Joint Turbo Coding for Overloaded MIMO-OFDM Systems

To achieve a sen sational mistake adjusting capability, the 0.33 generation Partnership challenge (3GPP) prolonged haul improvement (LTE) makes use of speedy codes as its in advance blunder rectifying (FEC) modern day. moreover, to benefit better throughput, a LTE moreover executes numerous records various yield (MIMO) systems..no matter the way that a traditional rapid unwinding plan offers appealing execution within the best MIMO frameworks, significant execution degradation takes place in over-load MIMO frameworks at the same time as the amount of transmitting wires is greater outstanding than that of gathering mechanical assemblies. on this paper, a joint decoding plan for quicker codes, proposed with AWGN channel. In joint faster deciphering, calculations of sensitive statistics are driven for each combination of bits from all streams in place of freely among every circulate. to enroll within the trellis plots from each the streams, a incredible-trellis diagram is used. The numerical outcomes prepared through pc propagation show off that the proposed scheme offers tremendous execution over the usual affiliation in particular via distinct characteristic of an over-stacked MIMO frameworks. in the MIMO frameworks with 4 transmit and recipients, as much as as a minimum one.0 dB execution development can be gained at a bit mistake charge (BER) of . The proposed plot also accomplishes advanced throughput with a throughput/(SNR/flow into) quantity close to the theoretical furthest reaches of over-problem MIMO framework

Técnicas para la implementación de turbo decodificadores con baja latencia

Turbo coding is a channel coding technique that increases the capacity of communications systems, especially wireless and mobile. Due to its high correction capability, this technique is used in modern wireless communication standards such as 3GPP and LTE/LTE-Advanced. One of the features of these systems is the increase in data processing capacity, where transmission rates of up to 1 Gbps are specified. However, the turbo coding technique inherently presents a limited performance as a consequence of the turbo decoding process at the reception stage. The turbo decoder presents a high operation latency mainly caused by the iterative decoding process, the interleaver and deinterleaver stage and the estimation process of the information bits. In this work, we show the techniques used to implement modern low-latency turbo decoders suitable for 3G and 4G standards.

On the Performance of Interleavers for Quantum Turbo Codes

Quantum turbo codes (QTC) have shown excellent error correction capabilities in the setting of quantum communication, achieving a performance less than 1 dB away from their corresponding hashing bounds. Existing QTCs have been constructed using uniform random interleavers. However, interleaver design plays an important role in the optimization of classical turbo codes. Consequently, inspired by the widely used classical-to-quantum isomorphism, this paper studies the integration of classical interleaving design methods into the paradigm of quantum turbo coding. Simulations results demonstrate that error floors in QTCs can be lowered significantly, while decreasing memory consumption, by proper interleaving design without increasing the overall decoding complexity of the system.