Resource Allocation with Successive Coding for OFDM-Based Cognitive System Subject to Statistical CSI
| Autor: | Marwa Chami, Didier Le Ruyet, Mylene Pischella |
|---|---|
| Přispěvatelé: | CEDRIC. Traitement du signal et architectures électroniques (CEDRIC - LAETITIA), Centre d'études et de recherche en informatique et communications (CEDRIC), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), ANR-14-CE28-0026,ACCENT5,Formes d'onde avancées, MAC et allocation dynamique de ressource radio pour les communications directes de terminal à terminal dans les réseaux 5G(2014) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Mathematical optimization
Cognitive systems Optimization problem Article Subject Computer science Orthogonal frequency-division multiplexing General Mathematics 02 engineering and technology Data_CODINGANDINFORMATIONTHEORY 0203 mechanical engineering [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing 0202 electrical engineering electronic engineering information engineering Computer Science::Information Theory lcsh:Mathematics General Engineering 020206 networking & telecommunications 020302 automobile design & engineering lcsh:QA1-939 Single antenna interference cancellation Channel state information lcsh:TA1-2040 Resource allocation lcsh:Engineering (General). Civil engineering (General) Decoding methods Communication channel Coding (social sciences) |
| Zdroj: | Mathematical Problems in Engineering, Vol 2018 (2018) Mathematical Problems in Engineering Mathematical Problems in Engineering, Hindawi Publishing Corporation, 2018, 2018, pp.1-15. ⟨10.1155/2018/5615898⟩ |
| ISSN: | 1563-5147 1024-123X |
| DOI: | 10.1155/2018/5615898⟩ |
| Popis: | International audience; This paper investigates the resource allocation problem for a multicarrier underlay cognitive radio system, under the assumption that only statistical Channel State Information (CSI) about the primary channels is available at the secondary user. More specifically, we maximize the system utility under primary and secondary user outage constraints and the total power constraint. The secondary user transmission is also constrained by the interference threshold imposed by the primary user. Moreover, the secondary receiver adapts its decoding strategy, which is either treating interference as noise or using successive interference cancellation or superposition coding. This leads to a nonconvex optimization problem, with either perfect or statistical CSI. Consequently, we propose a sequential-based algorithm to efficiently obtain a solution to the problem. The simulation results show that the sequential algorithm is convergent and that our global proposed scheme achieves larger secondary and sum rates than other algorithms where the decoding strategy is not adapted. |
| Databáze: | OpenAIRE |
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