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—Efficient and fair power allocation associated with congestion control in orthogonal frequency division multiplexing (OFDM)-based multi-hop cognitive radio networks (CRNs) is a challenging and complicated problem. In this paper, we consider their mutual relationship through a cross-layer optimization design that addresses both aggregate utility(More)
In this study, the authors propose a cross-layer optimisation framework for cognitive radio networks (CRNs) by jointly taking into account the physical layer and transport layer. In particular, they focus on joint rate and power control for a multi-hop CRN to maximise the network utility without affecting the performance of primary users (PUs). The(More)
—The overall performance of multi-hop cognitive radio networks (CRNs) can be improved significantly by deploying the channel diversity of orthogonal licensed channels in spectrum underlay fashion. However, interference due to the sharing of common radio channels among links and congestion due to the contention among those flows that share the same link(More)
—The IEEE 802.11 [1] provides multiple channels for wireless communications at the Physical Layer, but the Medium Access Control (MAC) protocol is only designed for a single channel. If the multiple channels can be exploited by multi-channel MAC protocol, there can be multiple transmissions on different channels. Besides that, the power control algorithm(More)
Efficient and fair resource allocation associated with congestion control in multi-hop cognitive radio networks (CRN) is a challenging problem. In this paper, we consider their mutual relationship through formulating a cross-layer optimization problem which addresses both the aggregate utility maximization and energy efficiency. By primal-dual method, the(More)
Virtual machine (VM) migration has recently emerged as a potential tool to improve the performance, cost and fault tolerance of data centers. However, migrating VMs requires more hardware resources to reserve target slots during the migration. A large number of simultaneous migrations can exhaust the physical resources of a data center. Consequently, the(More)