Abstract
As one of the key characteristics in cognitive wireless networks (CWNs), network environment awareness techniques have received much attention recently. Instead of traditional spectrum sensing technology that suffers from problems of miss detection, false alarm, hidden node, and inefficiency, cognitive pilot channel (CPC) technology has been proposed as one of the candidate solutions for an efficient and accurate network information delivery scheme to user equipment (UE). The aim of the CPC technology is to provide the necessary information for the reconfiguration of the UE using the public signaling channel. To ensure the efficient information delivery, the whole geographical area covered by the CPC is divided into square meshes of the same size. Moreover, two typical network information transmission modes for CPC deployment are also proposed: broadcast CPC mode and on-demand CPC mode. To further improve the efficiency of network information delivery, an efficient dynamic mesh grouping scheme has been designed which is based on the fractal theory for the broadcast CPC mode, where adaptive rectangular sized meshes are used to approximately cover the whole area. Compared to the traditional fixed size mesh division strategy, results show that the proposed dynamic mesh grouping scheme significantly reduces the number of meshes by grouping similar meshes together, and the average delay of receiving CPC information on the UE side is therefore reduced.
Highlights
As unveiled by the Federal Communications Commission (FCC) reports in [1,2], precious radio spectrum resources are underutilized, greatly hindering the convergence and cooperation of heterogeneous networks
The traditional fixed spectrum assignment, which grants exclusive use to licensees or primary users, is unsuitable in the rapidly changing heterogeneous radio environment. New technologies such as Cognitive Radio (CR), which is a contextaware radio with the capability to reconfigure itself to adapt to the changing environment, were first proposed by Mitola in 1998
Based on the concept of CR, the inevitable trend lead to the introduction of Cognitive Wireless Networks (CWNs) as proposed in [4] to extend the physical layer cognition to a network layer cognition with end-to-end goals
Summary
Different RATs co-exist in a specific area. Compared with the other regions, each region has different radio parameters due to the specific subset of RATs in its coverage area. Nates be (x,y), the point is located in the rectangle, iff x1 x x2 and y1 y y2. The convex hull of a set of points in a region can be used to locate this region. The geographic information of a convex hull may be complex and is not practical in processing. Some simpler graphs, such as rectangle and triangle, are preferred in region positioning
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
