Jointly optimizes the demand injected traffic (congestion control) and link transmission powers ina wireless network, solving a NUM formulation.

Keywords: Capacity assignment (CA), Transmission power optimization, JOM, NUM, Wireless

Optimizes the backoff window size of the links in a wireless network based on a CSMA MAC, solving a formulation.

Keywords: Capacity assignment (CA), CSMA, JOM, Wireless, NUM

Finds the routing and mocular capacities for a network that minimize the cost, using a dual decomposition approach The time evolution of different metrics can be stored in output files, for later processing.

Keywords: Capacity assignment (CA), Flow assignment (FA), Modular capacities, Dual decomposition

In a network with demands of two QoS, jointly optimizes the demand injected traffic and link capacity assigned to each solving a formulation.

Keywords: Bandwidth assignment (BA), Capacity assignment (CA), JOM, NUM

This algorithm gives access to several variants of full topology design problems.

Keywords: Topology assignment (TA), Capacity assignment (CA), Flow assignment (FA), Flow-link formulation, JOM

Finds the multiperiod (e.g.

Keywords: Capacity assignment (CA), Modular capacities, Flow assignment (FA), Multiperiod optimization, JOM

Optimizes the persistence probability of the links in a wireless network based on a random-access (ALOHA-type) MAC, solving a formulation.

Keywords: Capacity assignment (CA), Random-access MAC, JOM, Wireless, NUM

Finds a fair allocation of the transmission power in a wireless network, solving a formulation.

Keywords: Capacity assignment (CA), Transmission power optimization, JOM, NUM, Wireless

This module implements a distributed dual-decomposition-based gradient algorithm, for a coordinated adjustment of the traffic to inject by each demand (congestion control), and the transmission power in each link of the underlying wireless network, to maximize the network utility enforcing a fair allocation of the resources.

Keywords: Bandwidth assignment (BA), Transmission power optimization, Wireless, Capacity assignment (CA), Distributed algorithm, Dual decomposition

This module implements a distributed primal-gradient based algorithm for adjusting the link persistence probabilities in a wireless network with a ALOHA-type random-access based MAC, to maximize the network utility enforcing a fair allocation of the resources.

Keywords: Random-access MAC, Wireless, Distributed algorithm, Primal gradient algorithm, Capacity assignment (CA)

This module implements a distributed primal-gradient based algorithm for adjusting the transmission power of the links in a wireless network subject to interferences, to maximize the network utility enforcing a fair allocation of the resources.

Keywords: Transmission power optimization, Wireless, Distributed algorithm, Primal gradient algorithm, Capacity assignment (CA)

This module implements a distributed primal-decomposition-based gradient algorithm, for a coordinated adjustment of the congestion control of two types of demands (with different utility functions), and the fraction of each link capacity to grant to the traffic of each type, to maximize the network utility enforcing a fair allocation of the resources.

Keywords: Bandwidth assignment (BA), Capacity assignment (CA), Distributed algorithm, Primal decomposition

This module implements a distributed dual-gradient based algorithm for adjusting the backoff windows sizes in a wireless network with a CSMA-mased MAC, to maximize the network utility enforcing a fair allocation of the resources.

Keywords: Wireless, CSMA, Capacity assignment (CA), Dual gradient algorithm