Design and Simulation of Efficient M2M MIMO Communication systems and error corrections for advanced Wireless Networks

Abstract

The complexity of designing channel coding for high-capacity multi-antenna systems newlinehas directed to the growth of space-time codes (STCs), in which coding is done in both newlinespatial and temporal dimensions. The space-time precode may be used to accommodate a newlinedifferent number of transmit antennas. In this system, CSI (Channel State Information) in newlinetransmission is the key to decreasing the bit error rate (BER) through various power newlineallocation strategies. Therefore, with this knowledge, the transmitting linear precoder newlineassociated with the receiving linear decoder can optimize certain criteria. newlineThe integration of new services, especially multi-media, opened the door for the newlinedevelopment of new technologies that will be able to meet and satisfy these needs. It has been newlineestablished that the introduction of MIMO technology can increase throughput and improve newlinequality through the two main techniques: spatial multiplexing and transmission diversity. On newlinethe user side, there are two main modes which are: single user (SU) and multi-user (MU). In newlinemost cases, wireless systems are an operative resolution because they offer high speeds at a newlinelower cost than wired machineries. The performance and bandwidth restrictions of modern newlinecommunication systems make MIMO technology indispensable. newlineThe rapid development in the field of mobile telephony and the integration of new newlineservices, especially multi-media, opened the door for the development of new technologies newlinethat will be able to meet and satisfy these needs. It has been clearly established that the newlineintroduction of MIMO technology can increase throughput and improve quality through the newlinetwo main techniques: spatial multiplexing and transmission diversity. On the user side, there newlineare two main modes which are: single user (SU) and multi-user (MU). MIMO newlineimplementations tend to improve the architecture of the compensation system as hardware newlineand software necessities increase. Single user MIMO systems permit one user to be served newlineper broadcast interval. This exploits the productivity of a single user, but has the drawback newlinethat it does not yield benefit of the diversity of multiple users. Multi-User MIMO (MU- newlineMIMO) systems have turn out to be the leading technique to meet the necessities. newlineIn the present research work extensive simulation has been carried out for evaluating newlinethe Error (BER) performance of different single user MIMO (SU-MIMO) and multi user newlineMIMO (MU-MIMO) systems. The thesis work is divided into three phases. The first phase newlineconducts the analysis of channel capacity enhancement of MIMO system using water-filling newline newlinealgorithm. The BER performance of STBC, Orthogonal-STBC using the ZF, and MMSE newlineequalization techniques shows that, the MMSE equalization techniques indicates that for newlineachieving a BER 10 -3 much lower SNR ~12 dB is required compared to ZF equalizer newlinesystems.. In the second phase, MIMO system are examined with precoded orthogonal space- newlinetime block codes (OSTBC) optimized by a Genetic Algorithm. The OSTBC optimized newlineGenetic algorithm indicates that the BER 10 -3 can be achieved with much lower SNR ~ 5 dB newlinefor MMSE equalization. The third phase involves applying Bacterial Foraging Optimized newlineBlock Diagonalization precoding for multi-user MIMO system to reduce the SNR in the newlinedifferent fading channels such as Rayleigh, Rician, Nakagami-m, and and#945;-and#956; fading channels. newlineThe optimization of the Block Diagonalization process using the bacterial foraging newlineoptimization (BFO) algorithm demonstrates that the proposed technique significantly newlineimproves the performance of the Block Diagonalization method in all the four fading newlinechannels indicating that for achieving a BER of 10 -3 , the Nakagami-m channel displays the newlinelowest SNR ~ 2.3 dB is best suited for present day communication and network applications. newline