On the impact of primary traffic correlation in TV White Space

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• 作者：Angela Sara Cacciapuoti^a ; ^b ; ^{angelasara.cacciapuoti@unina.it" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Marcello Caleffi ; ^a ; ^b ; ^{marcello.caleffi@unina.it" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Luigi Paura^a ; ^b ; ^{paura@unina.it" class="auth_mail" title="E-mail the corresponding author}Author Vitae
• 关键词：TV White Space ; Cognitive radio ; On-demand ; Database access ; Correlation ; Markov Decision Process
• 刊名：Ad Hoc Networks
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：37
• 期：part_P2
• 页码：133-139
• 全文大小：696 K

文摘

In TV White Space, a secondary user must access periodically to a geolocated database to acquire the spectrum availability information. Furthermore, it can access on-demand to the database to update such an information. The more frequent are the on-demand accesses, the higher are the communication opportunities available to the secondary user but the higher is the induced overhead. Hence, in this manuscript, the on-demand access is investigated to a-priori determine whenever it is advantageous to perform it by accounting for the correlation exhibited by primary traffic patterns. To this aim, first the on-demand access is modeled through the general notions of reward and cost. Then, it is proved that the on-demand access maximizing the total reward available to the secondary user is a Markov Decision Process. Stemming from these results, a computational-efficient algorithm is designed. Finally, the theoretical analysis is validated through numerical simulations.