Abstract: The invention presents an intelligent deployment cascade control (IDCC) device for frequency division duplexing (FDD)-orthogonal frequency division multiplexing access (OFDMA) indoor small cell to enable easy installation, multi-user (MU)service reliability, optimum throughput, power saving, minimum interference and good cell coverage. The proposed IDCC device is designed with a cascade architecture, which mainly contains five units including a resource allocator, a minimum throughput/cell edge CQI converter, an adaptive neural fuzzy inference system (ANFIS) based initial transmit power setting controller (ITPSC) in the first cascade unit, an ANFIS based channel quality index (CQI) decision controller (CQIDC) in the second cascade unit and an ANFIS based self-optimization power controller (SOPC) in the third cascade unit. The SOPC consists of three parts, namely the transmit power adjustment estimator (TPAE), transmission power assignment and self-optimization power controller protection mechanism.

Abstract: The invention presents a self-optimizing deployment scheme and device for indoor small cell. Based on time division multiplexing access (TDMA) resource assignment, an adaptive neural fuzzy inference system (ANFIS) based self-optimizing deployment cascade control (SODCC) device is proposed for indoor small cell to enable easy installation, multi-user (MU) service reliability, optimum throughput, power saving, minimum interference and good cell coverage. The proposed SODCC device is designed with a cascade architecture, which mainly contains an ANFIS based initial power setting controller (IPSC) in the first unit, an ANFIS based channel quality index (CQI) decision controller (CQIDC) in the second unit and an ANFIS based self-optimizing power controller (SOPC) in the third unit. In addition, a protection mechanism of the self-optimizing power controller is included in the SODCC device to prevent the co-channel interference from the moving users of adjacent cells.

Abstract: The invention presents an intelligent deployment cascade control (IDCC) device for frequency division duplexing (FDD)-orthogonal frequency division multiplexing access (OFDMA) indoor small cell to enable easy installation, multi-user (MU) service reliability, optimum throughput, power saving, minimum interference and good cell coverage. The proposed IDCC device is designed with a cascade architecture, which mainly contains five units including a resource allocator, a minimum throughput/cell edge CQI converter, an adaptive neural fuzzy inference system (ANFIS) based initial transmit power setting controller (ITPSC) in the first cascade unit, an ANFIS based channel quality index (CQI) decision controller (CQIDC) in the second cascade unit and an ANFIS based self-optimization power controller (SOPC) in the third cascade unit. The SOPC consists of three parts, namely the transmit power adjustment estimator (TPAE), transmission power assignment and self-optimization power controller protection mechanism.

Abstract: The invention presents a self-optimizing deployment scheme and device for indoor small cell. Based on time division multiplexing access (TDMA) resource assignment, an adaptive neural fuzzy inference system (ANFIS) based self-optimizing deployment cascade control (SODCC) device is proposed for indoor small cell to enable easy installation, multi-user (MU)service reliability, optimum throughput, power saving, minimum interference and good cell coverage. The proposed SODCC device is designed with a cascade architecture, which mainly contains an ANFIS based initial power setting controller (IPSC) in the first unit, an ANFIS based channel quality index (CQI) decision controller (CQIDC) in the second unit and an ANFIS based self-optimizing power controller (SOPC) in the third unit. In addition, a protection mechanism of the self-optimizing power controller is included in the SODCC device to prevent the co-channel is interference from the moving users of adjacent cells.

Abstract: Intelligent technique is an effective method to perform the network resource management. A three layer cascade adaptive neural fuzzy inference system (ANFIS) based intelligent controller is proposed for the mobile wireless network to optimize the maximum average throughput, minimum transmit power and interference for multimedia call services. The proposed intelligent controller is designed with a three layer cascade architecture, which mainly contains an ANFIS rate controller (ARC) in the first layer, an ANFIS power controller (APC) in the second layer and an ANFIS interference controller (AIC) in the third layer. The design aim of the proposed three layer cascade ANFIS cognitive engine is maximizing the average throughput of the mobile wireless network, while minimizing the transmit power and interference power.

Abstract: Intelligent technique is an effective method to perform the network resource management. A three layer cascade adaptive neural fuzzy inference system (ANFIS) based intelligent controller is proposed for the mobile wireless network to optimize the maximum average throughput, minimum transmit power and interference for multimedia call services. The proposed intelligent controller is designed with a three layer cascade architecture, which mainly contains an ANFIS rate controller (ARC) in the first layer, an ANFIS power controller (APC) in the second layer and an ANFIS interference controller (AIC) in the third layer. The design aim of the proposed three layer cascade ANFIS cognitive engine is maximizing the average throughput of the mobile wireless network, while minimizing the transmit power and interference power.

Abstract: The invention presents a combinational fuzzy-decision Viterbi decoder, which combines the modified ? and S-membership functions, to further improve the performance of the dedicated short-range communications (DSRC) system operated in the time-varying fading channel. The combinational fuzzy-decision Viterbi decoder includes parallel-to-serial converter, fuzzy-decision constellation decoder and analog Viterbi decoder. The coding gain of the DSRC system using the proposed combinational fuzzy-decision Viterbi decoder is compared with both the hard-decision and soft-decision Viterbi decoder for the BPSK, QPSK, 16-QAM and 64-QAM OFDM DSRC systems. The improvement in performance of the DSRC system achieved by replacing the hard decision and soft decision Viterbi decoder with the proposed combinational fuzzy-decision Viterbi decoder will be validated with simulations.

Abstract: The invention presents a combinational fuzzy-decision Viterbi decoder, which combines the modified ? and S-membership functions, to further improve the performance of the dedicated short-range communications (DSRC) system operated in the time-varying fading channel. The combinational fuzzy-decision Viterbi decoder includes parallel-to-serial converter, fuzzy-decision constellation decoder and analog Viterbi decoder. The coding gain of the DSRC system using the proposed combinational fuzzy-decision Viterbi decoder is compared with both the hard-decision and soft-decision Viterbi decoder for the BPSK, QPSK, 16-QAM and 64-QAM OFDM DSRC systems. The improvement in performance of the DSRC system achieved by replacing the hard decision and soft decision Viterbi decoder with the proposed combinational fuzzy-decision Viterbi decoder will be validated with simulations.

Abstract: The invention presents a fuzzy basis function network (FBFN) processing device for the beam pointing error correction of the local multipoint distributed system (LMDS). The beam pointing error caused by wind force can affect the performance of the local multipoint distributed system (LMDS). The correction device uses multi-beam planar array antenna to obtain the signal direction-of-arrival (DOA) of a base station and uses fuzzy basis function network (FBFN) algorithm, which includes thirteen normalized Gaussian membership functions and thirteen rules, to estimate the beam pointing error. The simulation results show that the presented FBFN processing device has better performance in transient response, convergence time and steady state value of the averaged square error than the conventional beam pointing error correction devices.