Socially conscious channel selection in 802.11 WLANs for coexistence in a non-cooperative environment

Chou, Chun Tung; Jha, Sanjay

doi:10.1145/1641804.1641832

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…We take the strategy as a non-cooperative game, which is consistent with the characteristics of the heterogeneous network. The game theory is also used in many kinds of network scenarios, such as wireless mesh networks [16], ad-hoc networks [17], WLAN networks [18], and cognitive network [19].…”

Section: Related Workmentioning

confidence: 99%

Self-Coexistence Strategy in Heterogeneous Cognitive Radio Networks

Zhang¹,

Zhang²,

Mei³

et al. 2017

IJCNS

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Different from general cognitive wireless networks, there is no centralized scheduling and management infrastructure among heterogeneous cognitive networks. Multiple cells may operate in the same vicinity resulting in unfair spectrum occupation time (when the cells belong to different industries) and degraded performance of the cellular networks. A distributed self-coexistence mechanism is necessary. In this paper, we take the self-coexistence of multi users in heterogeneous scenarios as the problem of spectrum allocation in non-cooperative mode. Hence we propose Fair Self-Coexistence Strategy (FSCS). In this strategy, not only the fairness of occupation time is considered, but also different competitive priority metric based on Quality of Service (QoS) is adopted. Each cognitive cell independently completes the spectrum allocation process, by use of sensing techniques and perceptual information about neighboring network cells. The simulation experiment results show that our spectrum allocation strategy guarantees the fairness among the heterogeneous secondary networks. And in the resource scarce environment, our strategy can effectively achieve the differentiation competition results.

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