Mobility Reduces the Number of Secondary Users in Cognitive Radio Networks

In this paper, we study the capacity and delay scaling laws for cognitive radio networks (CRN). The primary network consists of n static, randomly and evenly distributed primary users (PUs), which require high throughput with low delay. The secondary network consists of m = O(n 1+δ ) randomly and ev...

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Bibliographic Details
Main Authors: Xinbing Wang, Luoyi Fu, Yingzhe Li, Zizhong Cao, Xiaoying Gan
Format: Conference Proceeding
Language:English
Subjects:
Delay
Lattices
Mobile communication
Peer to peer computing
Relays
Routing
Throughput
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Summary:In this paper, we study the capacity and delay scaling laws for cognitive radio networks (CRN). The primary network consists of n static, randomly and evenly distributed primary users (PUs), which require high throughput with low delay. The secondary network consists of m = O(n 1+δ ) randomly and evenly distributed cognitive secondary users (SUs) with δ >; 0, which move in different area according to the hierarchical i.i.d. mobility model. The secondary network is carefully designed to support the primary network, so that PUs may achieve near-optimal performance in both capacity and delay aspects. Then by utilizing hierarchical cooperation among SUs with different mobility, a new hierarchical relay algorithm is proposed to improve the delay performance extensively. Under optimal condition, this algorithm may provide Ω(n -δ' ) per-node throughput and O(n δ" ) average delay for PU with δ', δ" >; 0, and significantly improve the performance of SU at the same time.
ISSN:1930-529X
2576-764X
DOI:10.1109/GLOCOM.2011.6134166