Aalborg Universitet

Nokia Technologies Oy

Steinwurf Aps

Janus Heide

Daniel E Lucani

Morten V Pedersen

Frank H P Fitzek

Frank Fitzek

Márton A Sipos

Frank HP Fitzek

A method for use in a distributed storage system having a plurality of nodes, the method including receiving, at a source node, original data, encoding the original data into plurality of coded fragments using a linear code, transmitting at least a first one of the coded fragments from the source node to a first sink node. The method further includes receiving, at the source node, modified data, calculating, at the source node, a coded difference between the original data and the modified data, transmitting the coded difference from the source node to the first sink node; and recovering, at the first sink node, at least a first portion of the modified data using the coded difference and the at least a first one of the coded fragments.

Method for file updating and version control for linear erasure coded and network coded storage

Described are network coding (NC) systems and techniques which utilize multiple composite extension finite fields to reduce complexity at various nodes in a network and also reduce overhead due to signal coding coefficients. A coding design uses a series of finite fields where increasingly larger fields are based on a previous smaller field. Techniques disclosed herein can be applied to existing systems using Random Linear Network Coding (RLNC) or Fulcrum codes.

Composite extension finite fields for low overhead network coding

Fulcrum network codes, which are a network coding framework, achieve three objectives: (i) to reduce the overhead per coded packet to almost 1 bit per source packet; (ii) to operate the network using only low field size operations at intermediate nodes, dramatically reducing complexity in the network; and (iii) to deliver an end-to-end performance that is close to that of a high field size network coding system for high-end receivers while simultaneously catering to low-end ones that can only decode in a lower field size. Sources may encode using a high field size expansion to increase the number of dimensions seen by the network using a linear mapping. Receivers can tradeoff computational effort with network delay, decoding in the high field size, the low field size, or a combination thereof.

Fulcrum network codes

Network coding by beam forming in networks, for example, in single frequency networks, can provide aid in increasing spectral efficiency. When network coding by beam forming and user cooperation are combined, spectral efficiency gains may be achieved. According to certain embodiments, a method includes operating a user equipment of a plurality of user equipment in a network comprising a plurality of access points. The method also includes the user equipment forming a beam. The method further receives processing received signals from at least one of the plurality of access points at the user equipment. The forming the beam is configured to let different user equipment of the plurality of user equipment to receive different signals from the plurality of access points to achieve diversity by using different beams amongst the plurality of user equipment. The method additionally includes cooperating with the plurality of user equipment to decode the received data.

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Aalborg, Denmark

Janus Heide