Efficient spectrum scheduling and power management for opportunistic users
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| Title: | Efficient spectrum scheduling and power management for opportunistic users |
|---|---|
| Authors: | Masmoudi, Raouia, Veronica Belmega, E, Fijalkow, Inbar |
| Contributors: | Equipes Traitement de l'Information et Systèmes (ETIS - UMR 8051), Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY), Département de Génie Électrique de Sfax ENIS (CEM Lab - ENIS), المدرسة الوطنية للمهندسين بصفاقس = National Engineering School of Sfax (ENIS), جامعة صفاقس - Université de Sfax - University of Sfax-جامعة صفاقس - Université de Sfax - University of Sfax, Performance analysis and optimization of LARge Infrastructures and Systems (POLARIS), Centre Inria de l'Université Grenoble Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ), FUI SYSTEMATIC EconHome, FUI EconHome |
| Source: | ISSN: 1687-1472. |
| Publisher Information: | CCSD SpringerOpen |
| Publication Year: | 2016 |
| Collection: | Université de Montpellier: HAL |
| Subject Terms: | Lagrangian relaxation, Power allocation, Spectrum scheduling, Cognitive radio systems, Projected sub-gradient algorithm, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] |
| Description: | International audience ; In this paper, we study the centralized spectrum access and power management for several opportunistic users, secondary users (SUs), without hurting the primary users (PUs). The radio resource manager's objective is to minimize the overall power consumption of the opportunistic system over several orthogonal frequency bands under constraints on the minimum quality of service (QoS) and maximum peak and average interference to the PUs. Given the opposing nature of these constraints, we first study the problem of feasibility, and we provide sufficient conditions and necessary conditions for the existence of a solution. The main challenge lies in the non-convexity of this problem because of the discrete spectrum scheduling: one band can be allocated to at most one SU to avoid interference impairments. To overcome this issue, we use a Lagrangian relaxation technique, and we prove that the discrete solutions of the relaxed problem are the solutions to the initial problem. We propose a projected sub-gradient algorithm to compute the solution, when it exists. Assuming that the channels are drawn randomly from a continuous distribution, this algorithm converges to the optimal solution. We also study a specific symmetric system for which we provide the analytical solution. Our numerical results compare the energy-efficiency of the proposed algorithm with other spectrum allocation solutions and show the optimality of our approach. |
| Document Type: | article in journal/newspaper |
| Language: | English |
| DOI: | 10.1186/s13638-016-0594-4 |
| Availability: | https://hal.science/hal-01301779 https://hal.science/hal-01301779v1/document https://hal.science/hal-01301779v1/file/MBF16.pdf https://doi.org/10.1186/s13638-016-0594-4 |
| Rights: | info:eu-repo/semantics/OpenAccess |
| Accession Number: | edsbas.97A44394 |
| Database: | BASE |
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