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Spectrum sharing in Multi-hop cognitive radio networks with optimal power control

Authors: Shobhita Gupta; Shashikala Tapaswi;

Spectrum sharing in Multi-hop cognitive radio networks with optimal power control

Abstract

Cognitive radio networks (CRNs) allow an opportunistic access of the unused spectrum to the unlicensed secondary users (SUs) provided that the interference generated by the SUs does not exceed the acceptable interference levels (predefined system threshold) to primary users (PUs). This paper deals with the maximization of transmission range of SUs considering Multi-hop cognitive radio cellular networks (CogCells), where SUs communicate with the Base Station(BS) over multiple hops. The SUs with low transmission power communicate with the BS through other secondary systems(SS) which act as a router to forward packets. The multi-hop transmissions generate more number of scheduled users as compared to Single-hop transmissions. In this paper, a greedy heuristic approximation algorithm (GHAA) is discussed for coverage optimization with the power control algorithms. The simulation results show that the number of scheduled users increase in multi-hop scenario with and without the application of power control algorithms.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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