Carrier Aggregation for Cooperative Cognitive Radio Networks
| Autor: | George K. Karagiannidis, Koralia N. Pappi, Sami Muhaidat, Tamer Khattab, Panagiotis D. Diamantoulakis |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Engineering
Optimization problem Computer Networks and Communications Orthogonal frequency-division multiplexing interference Aerospace Engineering 02 engineering and technology Amplify-and-forward (AF) Radio spectrum law.invention 0203 mechanical engineering Relay law decode-and-forward (DF) cognitive radio (CR) Computer Science::Networking and Internet Architecture 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Underlay Computer Science::Information Theory business.industry ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS 020302 automobile design & engineering 020206 networking & telecommunications relay selection Cognitive radio Automotive Engineering Convex optimization dynamic power allocation business carrier aggregation (CA) 5G Computer network |
| Zdroj: | IEEE Transactions on Vehicular Technology. 66:5904-5918 |
| ISSN: | 1939-9359 0018-9545 1967-2012 |
| DOI: | 10.1109/tvt.2016.2635112 |
| Popis: | The ever-increasing demand for mobile Internet and high-data-rate applications poses unique challenging requirements for 5G mobile networks, including spectrum limitations and massive connectivity. Cognitive radio and carrier aggregation (CA) have recently been proposed as promising technologies to overcome these challenges. In this paper, we investigate joint relay selection and optimal power allocation in an underlay cooperative cognitive radio with CA, taking into account the availability of multiple carrier components in two frequency bands, subject to outage probability requirements for primary users (PUs). The secondary user network employs relay selection, where the relay that maximizes the end-to-end sum rate is selected, assuming both decode-and-forward and amplify-and-forward relaying. The resulting optimization problems are optimally solved using convex optimization tools, i.e., dual decomposition and an efficient iterative method, allowing their application in practical implementations. Simulation results illustrate that the proposed configuration exploits the available degrees of freedom efficiently to maximize the SU rate, while meeting the PU average outage probability constraints. 1 1967-2012 IEEE. Manuscript received May 27, 2016; revised October 2, 2016; accepted November 7, 2016. Date of publication December 2, 2016; date of current version July 14, 2017. The work of P. D. Diamantoulakis, G. K. Karagiannidis, and T. Khattab was supported by the NPRP under Grant NPRP 6-1326-2-532 from the Qatar National Research Fund (a member of Qatar Foundation). This work was presented in part at the IEEE Wireless Communications and Networking Conference (WCNC), Doha, Qatar, Apr. 2016. The review of this paper was coordinated by Prof. D. B. da Costa. Scopus |
| Databáze: | OpenAIRE |
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