This work presents blind joint interference suppression and power allocation algorithms for DS-CDMA networks with multiple relays and decode and forward protocols. A scheme for joint allocation of power levels across the relays subject to group-based power constraints and the design of linear receivers for interference suppression is proposed. A code-constrained constant modulus (CCM) design fo...

Multiple-path source routing protocols allow a data source node to distribute the total traffic among available paths. In this article, we consider the problem of jamming-aware source routing in which the source node performs traffic allocation based on empirical jamming statistics at individual network nodes. We formulate this traffic allocation as a lossy network flow optimization problem usi...

Efficient power and subchannel allocation methods are required for orthogonal frequency division multiple access (OFDMA) based femtocell networks to improve the capacity of the system. This paper considers a joint subchannel and power allocation algorithm with capacity maximization for downlink of an OFDMA based femtocell networks. In the proposed algorithm subchannel allocation is first perfor...

In this paper, an attempt has been made to design an algorithm that provides optimal allocation of tokens to the individual long live TCP flows in Differentiated Services (DiffServ) networks. The optimality in token allocation is achieved using an optimization technique that employs Genetic Algorithm (GA). The trial performance of the proposed algorithm has been evaluated through C++ simulation...

Network resource allocation shows revived popularity in the era of data deluge and information explosion. Existing stochastic optimization approaches fall short in attaining a desirable cost-delay tradeoff. Recognizing the central role of Lagrange multipliers in network resource allocation, a novel learn-andadapt stochastic dual gradient (LA-SDG) method is developed in this paper to learn the s...

The power of each sensor node in wireless sensor networks for signal detection applications is scarce and limited. Thus, the allocation of power resource of a node should make the detection performance of the whole network maximum, which is complex due to the detection probability of the whole system cannot be expressed explicitly. The ant colony optimization algorithm is good at solving multid...

This paper develops an optimization framework for self-organizing networks (SON). The objective is to ensure efficient network operation by a joint optimization of different SON functionalities, which includes capacity, coverage and load balancing. Based on the axiomatic framework of monotone and strictly subhomogeneous function, we formulate an optimization problem for the uplink and propose a...

We present an approach to the admission control and resource allocation problem in connection-oriented networks that offer multiple services to users. Users’ preferences are summarized by means of their utility functions, and each user is allowed to request more than one type of service. Multiple types of resources are allocated at each link along the path of a connection. We assume that the re...