Graduate School and Research Center in Digital Sciences

Decentralizing multi-operator cognitive radio resource allocation: An asymptotic analysis

Tohidi, Ehsan; Gesbert, David; Bazco-Nogueras, Antonio; de Kerret, Paul

ICC 2020, IEEE International Conference on Communications Workshops, 7-11 June 2020, Dublin, Ireland (Virtual Conference)

We address the problem of resource allocation (RA) for spectrum underlay in a cognitive radio (CR) communication system with multiple secondary operators sharing resource with an incumbent primary operator. The multiple secondary operator RA problem is well known to be especially challenging because of the inter-operator coupling constraints arising in the optimization problem, which render impractical inter-operator information exchange necessary. In this paper, we consider a satellite setting for multi-operator CR. In the CR maturation regime, i.e., the period in which the secondary subscriber density is growing yet remains much below that of incumbent users, we show that in fact the inter-operator mutual constraints can be neglected, thus making distributed (across secondary operators) optimization possible. Furthermore, we establish analytically that the mutual constraints asymptotically vanish with the primary user density.

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Title:Decentralizing multi-operator cognitive radio resource allocation: An asymptotic analysis
Keywords:Cognitive Satellite Communication, Resource Allocation, Asymptotic Limit, Distributed Optimization
Department:Communication systems
Eurecom ref:6202
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Bibtex: @inproceedings{EURECOM+6202, doi = {}, year = {2020}, title = {{D}ecentralizing multi-operator cognitive radio resource allocation: {A}n asymptotic analysis}, author = {{T}ohidi, {E}hsan and {G}esbert, {D}avid and {B}azco-{N}ogueras, {A}ntonio and de {K}erret, {P}aul}, booktitle = {{ICC} 2020, {IEEE} {I}nternational {C}onference on {C}ommunications {W}orkshops, 7-11 {J}une 2020, {D}ublin, {I}reland ({V}irtual {C}onference) }, address = {{D}ublin, {IRELAND}}, month = {06}, url = {} }
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