A circuit that includes an input for coupling to a MTMO signal received from a channel to compute a change of basis matrix T and a reduced lattice basis matrix HT, to form a list L of points used for soft decision calculation using columns of the matrix HT and to perform MTMO detection for each point in the list L. The circuit further includes an output to output a list C of constellation points to a unit for use in to calculating soft bit decisions. The listX may include a received point r and a set of points that are formed by adding to the point r a column of the matrix HT multiplied by +1, -1, +i, or -i, or it may be formed by performing hard MIMO detection for the received point r, and adding the columns of HT to the to the hard decision point, or it may be formed by using.a hard decision estimate of transmitted vector x and adding multiplied columns of Hie matrix T to the vector x.

Apparatus, method and computer program product providing soft decision generation with lattice reduction aided mimo detection

Multiple-input multiple-output (MIMO) systems play a vital role in fourth generation wireless systems to provide advanced data rate. In this paper, a better performance and reduced complexity channel estimation method is proposed for MIMO systems based on matrix factorization. This technique is applied on training based least squares (LS) channel estimation for performance improvement. Experimentation results indicate that the proposed method not only alleviates the performance of MIMO channel estimation but also signiflcantly reduces the complexity caused by matrix inversion. The performance evaluations are validated through computer simulations using MATLAB R ∞ 7.0 in terms of bit error rate (BER). Simulation results show that the BER performance and complexity of the proposed method clearly outperforms the conventional LS channel estimation method.

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Performance and Complexity Improvement of Training Based Channel Estimation in MIMO Systems

The present invention relates to a method and device for detecting a transmission signal on the basis of a received signal by applying a division and detection algorithm. An embodiment of the invention provides a method of detecting a transmission signal including: obtaining a unitary matrix and an upper triangular matrix by performing a sorted QR-decomposition algorithm with respect to a matrix indicating a channel state; calculating a vector y by multiplying a transpose matrix of the unitary matrix by the received signal Y; dividing the upper triangular matrix R into a plurality of sub-upper triangular matrices and dividing the calculated vector y into a plurality of sub-vectors so as to correspond to the divided plurality of sub-upper triangular matrices; and detecting a lattice point corresponding to each of the divided sub-vectors using the divided plurality of sub-upper triangular matrices.

Method and device for detecting transmission signal with division detection

The invention discloses an antenna selection method in a wireless communication system, wherein first equipment in the wireless communication system is provided with at least two wireless transceiver links, and each wireless transceiver link is provided with an antenna. The antenna selection method comprises the steps of acquiring the first reception quality values of signals transmitted to second equipment through the antennas and/or at least one antenna combination; estimating the second reception quality values of signals transmitted to the second equipment through the antennas and/or the antenna combination according to the maximum permissible transmitting powers of the antennas and/or the antenna combinations and the first reception quality values; determining either the antenna or the antenna combination as a transmitting antenna which is utilized when the signals are transmitted to the second equipment according to the second reception quality values. The invention further provides wireless communication equipment.

Antenna selection method and wireless communication equipment in wireless communication system

The invention provides a method and device for controlling intelligently collaborative multi-path transmission of a receiving end. An existing SCTP is improved. The method comprises the steps of establishing a transmit speed evaluator (SRE-rev) based on the receiving end, determining ideal data transmitting speed (ASR) according to path parameters and feeding back ASR values, establishing a path switchover trigger (PST-rev) assisted by the receiving end, carrying out fast recovery after main path selection and path switchover are executed at the receiving end, defining four transmitting states of slow starting, congestion avoidance, path selection and path fast recovery, and describing the conversion process of the four transmitting states. According to the scheme, the speed control and the path management of the receiving end are achieved, the load expenses of a sending end and the load expenses of the receiving end are balanced, the experience quality on the multi-path transmission of streaming media for a user is improved, and a beneficial solution idea for establishing a multi-node intelligently collaborative transmission mechanism in future novel Internet is provided.

Method and device for controlling intelligently collaborative multi-path transmission of receiving end

The method includes steps: (1) at initial phase, transmitting pilot signal from all transmission antennas at transmitting end of multiaerial system; transmitting data signal from a transmission antenna known by both transmitting end and receiving end; (2) through channel estimation, the receiving end carries out measure of channel fading for all sub carrier waves at pilot frequency position of all antennas at receiving end; average ratio of S/N or average channel power is calculated out; transmission antenna with maximal ratio of S/N or average channel power is selected out; number of the selected transmission antenna is retuned to the transmission end; (3) through the selected transmission channel, the transmission end transmits pilot frequency and data signal

Method for selecting send-antenna through closed-loop control in multi-antenna system

In this contribution, a hybrid detection algorithm based on QR decomposition for MIMO systems is proposed to reduce the complexity of the MIMO detection algorithm. The proposed algorithm combines vector searching with DF (Decision Feedback) technique to improve the reliability of the detected signals and meanwhile holds a low computational complexity. The computational complexity and BER performance can be controlled through setting different values to the parameters in the algorithm to satisfy complexity and performance requirements. In this paper, the performance and the complexity are analyzed in MIMO system with different modulation scheme.

A Hybrid Detection Algorithm for MIMO Systems

The invention discloses a self-adapting modulation mode selecting and power allocating method in wireless communication system, where on the basis of the current-selected modulation mode and allocated power of each self-adapting unit, by iterative allocation process, selecting the self-adapting unit that has the best efficiency to continue increasing unit bit transmission power as meeting the preset performance requirement, then changing its modulation mode into adjacent higher order modulation mode and labeling the higher order modulation mode and the bit increment carried by the current modulation mode as bit number allocated for this time, and allocating the self-adapting unit the required power meeting the performance requirement in the corresponding higher order modulation mode; as the transmission bit B to be allocated has been allocated or the emission power P to be allocated has been allocated, or the left power is not enough for any self-adapting unit to increase modulation order, ending the iterative process and transferring the left unallocated bit or power to the whole bit number or usable power for the next allocation.

Zhiheng Guo

Papers

Method for selecting send-antenna through closed-loop control in multi-antenna system

A Hybrid Detection Algorithm for MIMO Systems

Self-adaptive modulation mode selection and power distribution method