Abstract: The invention relates to a method for channel equalization in a receiver, in which a signal is received from a communication channel, the signal containing symbols formed of binary information by phase shift keying. In the receiver, channel estimation is performed to estimate the properties of the communication channel, and samples are taken of the received signal at intervals. In the method, a determined number of samples is examined at the time, and a decision step is taken, in which, to find out the transmitted symbols, bit decisions are computed on the basis of said determined number of samples. After each decision step, it is examined, whether said decision step is to be iterated. Upon iteration of said decision step, at least some of the bit decisions of the preceding decision step are used in addition to the samples under examination at the time, for computing the bit decisions.

Abstract: According to one embodiment of the invention, an antenna adjustment method, system and network element is provided. The system includes a mechanism for gathering information on interference in predetermined radio cells, a mechanism for arranging the gathered information radio cell-specifically for processing, a mechanism for determining a tilting factor for each predetermined radio cell, wherein the tilting factor relates to the interference the radio cell produces to other cells, and a mechanism for searching for the radio cells having the antenna tilting factors that fulfill a set criteria.

Abstract: The invention relates to a method and an arrangement for decoding a convolutionally encoded signal which comprises code words and the arrangement comprises a neural network which comprises a set of neurons comprising a set of inputs and an output. The received code words are applied to the inputs of the neurons, and the arrangement combines some of the inputs of the neuron in the neuron. In order to enable efficient decoding of the convolutional encoding, some of the output signals of the neural network neurons are fed back to the inputs of the neuron and the neuron multiplies at least some of the inputs of the neuron with one another before combining. The output signal of a predetermined neuron comprises an estimate of a decoded symbol.