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GA-based-Optimising-Relay-Network-Topology-

Optimising Relay Network Topology Using Generic Algorithm

The scheme of Relay wireless backpropagation presents a network optimisation model from centre to boundary. The center is connected by the DeNB base station via satellite transmission and serves as the connection and transmission of a series of RRN substations in its neighbourhood.

We implemented GA on the problem of RRN topology optimisation. This implementation was also optimised by multi-threads.

  1. Optimisation target: a sequence of sites allocated whether base station or substation, which is represented as a sequence of binary numbers.
  2. Value function: cost of constructing different types of stations and statellite communication expense.
  3. Generic Algorithmm: initialisation, network connection (greedy algorithm), value calculation, selection, crossover, mutation.

A generic framework synthesizes a group of classic methods:

  1. selection: Bolzmann selection and elite selection.
  2. crossover: uniform and/or crossover.
  3. mutation: mutation odds adjusted according to performance.

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