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The problem of throughput maximization in a cognitive radio network with decentralized control (i.e., a cognitive radio ad hoc network) is considered in this paper. First, decentralized and localized algorithms for throughput maximization through joint cognitive routing and interference-avoiding waveform selection are proposed, based on a nonlinear optimization framework. The proposed algorithms adapt...
A cognitive radio network with decentralized control (i.e., a cognitive ad hoc network) is considered in this demonstration. The demo implements a decentralized and localized algorithm for through put maximization through joint routing and interference-avoiding waveform selection. The algorithm adapts to time-varying traffic demands, interference profile, and network topology to locally maximize the...
The capacity of a wireless network depends on the interference encountered by flows in the network as they traverse their routes from source to destination. Link-transmissions along a route must be scheduled so as to avoid interference with other links, while the interference-pattern that scheduling has to accommodate itself depends on the routes selected for traffic flow. Therefore, for efficient...
In this paper, we consider the mobility effect with a jointly optimal design of cross-layer congestion control, routing and scheduling for ad-hoc networks. We first formulate the rate constraint and scheduling constraint. In this way, we use multi-commodity flow variables. Then formulate resource allocation in networks with fixed wireless channel and single-rate devices. Because of entrance of the...
We present an approach that takes advantage of multi-packet reception (MPR) to reduce the negative effects of multiple access interference and therefore increase the capacity of an ad hoc network. We analyze the performance upper bound of joint routing and scheduling for ad hoc networks that embrace interference by using MPR. We formulate the optimization problem under a deterministic model and seek...
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