Conference Paper

Time-Efficient Layer-2 Auto-Configuration for Cognitive Radios.

Conference: International Conference on Parallel and Distributed Computing Systems, PDCS 2005, November 14-16, 2005, Phoenix, AZ, USA
Source: DBLP

ABSTRACT timeslots, where is the maximum number of nodes deployed, is the maximum number of available channels for communication and is the diameter of the network. Assuming all nodes are aware of and , we present both diameter-aware and diameter-unaware versions of the algorithm. For highly sparse networks like linear chain topology where , with and , the diameter- aware conguration protocol terminates within and the diameter-unaware version terminates within .

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    ABSTRACT: In multi-hop cognitive radio networks, the communication links among the cognitive nodes fail easily with the dynamic appearances of the licensed users. We propose an approach to compute the weight of the available channels intersections. The cognitive nodes compare the weights of different routing paths and update the route-table to reduce the re-routing times caused by the network changing, in order to reduce packet loss rate in cognitive radio networks. Simulation results show that in a multi-hop cognitive radio network with frequent change of the licensed users and uneven distribution of the available spectrum, our protocol provides less packet loss rate in the communication channels and proper overhead in the control channel. KeywordsCognitive Radio Network-Routing Protocol-Spectrum Assignment-Packet Loss Rate-Overhead
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    ABSTRACT: This paper proposes a strategy for medium access control (MAC) layer to assign timeslots and available licensed channels efficiently and fairly to unlicensed users with heterogeneous types of services. First, the concept of service coefficient is built on various service models which determines the priority of timeslots assignment. Then, the optimal channel scheduling is obtained based on maximizing the total spectrum efficiency using integer linear programming (ILP) formulation. The main contribution of this paper is that the design of MAC-layer scheduling takes user-level analysis into consideration.
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