Telefonaktiebolaget Lm Ericsson (publ)

Alcatel Lucent

Kai Yu

Muhammad Ali Kazmi

Farshid Ghasemzadeh

Angeliki Alexiou

Federico Boccardi

Aurelian Bria

(Jason) Tsao-Tsen Chen

Sten Ingemar Sjoberg

A method is provided, in a wireless communications network comprising a source node, a destination node and at least one relay node, of selecting spatial subchannels for use. The method comprising the steps of: spatially decomposing channels into spatial subchannels; and selecting a subset of the subchannels for use that at least approximately maximises predicted throughput rate.

Relays in wireless communications

Embodiments herein include a method and a network node in a wireless communications network for controlling a maximum output power of the network node. The network node comprises a Global Navigation Satellite System (GNSS) receiver. The GNSS receiver receives signals from the GNSS. The method comprises determining whether a GNSS signal transmitted from the GNSS is considered detectable. If the GNSS signal is considered detectable, the method includes determining whether the GNSS signal is received directly from the GNSS or via a GNSS repeater. The method further includes selecting a power control method for controlling the maximum output power of the network node, based on at least one of the determination of whether the GNSS signal is considered detectable, and the determination of whether the GNSS signal is received directly from the GNSS or via the GNSS repeater.

Power control for home base station with GNSS receiver

Method and apparatus for generating a set of generator polynomials for use as a tail biting convolutional code to operate on data transmitted over a channel comprises: (0) specifying a constraint and a low code rate for a tail biting convolutional code, where the low rate code is lower than 1/n (n being an integer greater than 4); (1) selecting valid combinations of generator polynomials to include in a pool of potential codes, each valid combination being a potential code of the low rate code; (2) determining first lines of a weight spectrum for each potential code in the pool and including potential codes of the pool having best first lines in a candidate set; (3) determining best codes of the candidate set based on the first L number of lines in the weight spectrum; (4) selecting an optimum code(s) from the best codes; and (5) configuring a circuit(s) of a data transceiver to implement the optimum code(s).

Optimum distance spectrum feedforward low rate tail-biting convolutional codes

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Stockholm, Sweden

Kai Yu