[PDF] Top 20 Symbol Detection in MIMO Systems Using PSOGSA Optimization Algorithm

... Wireless communication systems have made large developments since the first generation (1G) Systems. Frequency Division Multiple Access (FDMA) was the main techniques used at that level. Similarly, Time ... See full document

... The detection algorithm associated with the BLAST architecture is the successive cancellation (SUC) ...transmitted symbol by satisfying the ZF or MMSE performance criterion while treating the rest of ... See full document

... systems both the transmitter and the receiver need to be optimally designed. However, a problem encountered in the design of receivers for MIMO systems is the detec- tion of data from noisy ... See full document

... multi-user symbol vector, ...initial symbol estimates of Section ...joint optimization work requires the FD-CHTFs to be simultaneously optimized along with the data ...better symbol estimates ... See full document

... of MIMO systems, primarily due to multiple analog cir- cuit ...of MIMO systems without sacrificing system capacity has led researchers to investigate various criteria and algorithms for ... See full document

... throughput delivered are limited and do not improve by increasing the number of antennas, as demonstrated in [7]. The solution proposed in [7], which is a minimum mean square error (MMSE) form of channel inversion, ... See full document

... CDMA systems has a computational complexity that is exponentially increasing with the number of users and, hence, is not a viable detection ...receiver. Using computer simulations, we showed that the ... See full document

... wireless systems with very small symbol periods usually face unacceptable Inter Symbol Interference (ISI) originated from multi-path propagation and their inherent delay ...communication. MIMO ... See full document

... communication systems aim to achieve a high spectral ...CDMA systems is mainly limited by multiple-access interference (MAI) and intersymbol interference ...joint detection and decoding, sub optimal ... See full document

... noises using the correlated information among the signals transmitted from different ...vector optimization problem on Grassmannian manifold to that one a complex Stiefel manifold, which has not been well ... See full document

... communication systems, the detection comes down to solving an optimization problem of a combinatorial system of the form y = Hx + ...new algorithm called HISD suboptimal (hyperplane ... See full document

... competing objectives. These have been solved by combining the multiple objectives in to single scalar by the approach of linear combination. The combining coefficients, however, usually based on heuristic or guesswork ... See full document

... new algorithm which is not sensitive to the selection of initial search ...VB algorithm (in other words, it is considerably faster than the original VB ...the algorithm. To evaluate the performance ... See full document

... multi-user systems has increased system capacity, but it has also led to inter-user interference, which has further affected system ...(LS-IA) algorithm, a symbol-detection-assisted least ... See full document

... revenue optimization for airline and hotel are presented and their solution through genetic algorithm is proposed and analysed in this ...compared using different selection and crossover ... See full document

... better optimization with lesser complexity. Genetic algorithm will give better performance regardless of the number of carriers used for sub carrier ... See full document

... Data mining techniques involve the use of sophisticated data analysis tools and classification methods to discover previously undisclosed, valid patterns and relationships in a large data set. These tools can include ... See full document

... digits using their related moduli, which would enable the redundant residue number to be used for self-checking, error-detection and correction in digital processors as seen in Figure ...of using the ... See full document

... outlier detection where, the anomaly dataset is measured by the Neighbourhood Outlier Factor ...(iABC) algorithm iABC is based on neighbour selection mechanism for onlooker ... See full document

... SLC is one of the well-known methods to tune multi loop control system for multivariable processes. In this method, the controllers are tuned sequentially, wherein the controller of the fastest loops should be tuned ... See full document