Scheduling in Centralized Cognitive Radio Networks for Energy Efficiency

With growing concern about environmental issues and an emerging green communications paradigm, cognitive radio (CR) networks (CRNs) have to be considered from the energy efficiency perspective. In this paper, we focus on scheduling in CRNs, in which a cognitive base station (CBS) makes frequency all...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology Vol. 62; no. 2; pp. 582 - 595
Main Authors: Bayhan, S., Alagoz, F.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.02.2013
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Applied sciences
Channel switching
Channels
Chromium nitride
Cognitive radio
cognitive radio (CR)
Energy consumption
Energy efficiency
Exact sciences and technology
fragmented spectrum
Heuristic
Integer programming
Maximization
Networks
Organization and planning of networks (techniques and equipments)
Organization, operation and development plans
Radio spectrum management
Radiocommunication specific techniques
Radiocommunications
Resource management
Scheduling
Studies
Switches
Switching theory
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Throughput
Time frequency analysis
Transmission and modulation (techniques and equipments)
Wireless communication
Costs
Paradigm
Base station
Optimization method
Centralized system
cognitive radio (CR)
Non linear programming
Polynomial method
Channel switching
Energetic efficiency
energy efficiency
Traffic control
Minimum energy
Queue
fragmented spectrum
Channel capacity
Frequency allocation
Teletraffic
Scheduling
Information transmission
Switching
Polynomial time
Integer programming
Queueing system
Heuristic method
Planning
Radio communication
Software radio
ISSN:0018-9545, 1939-9359
Online Access:Get full text
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Summary:With growing concern about environmental issues and an emerging green communications paradigm, cognitive radio (CR) networks (CRNs) have to be considered from the energy efficiency perspective. In this paper, we focus on scheduling in CRNs, in which a cognitive base station (CBS) makes frequency allocations to the CRs at the beginning of each frame. A cognitive scheduler must consider the diversity among CRs' queues and channel capacities in terms of number of bits and the channel switching cost from one frequency to another. Taking all these into account, we formulate the scheduling problem as an energy efficiency maximization problem, which is a nonlinear integer programming (NLP) problem and is thereby hard to solve. We seek alternate computationally easier solutions. To this aim, we propose a polynomial-time heuristic algorithm, i.e., the energy-efficient heuristic scheduler (EEHS), which allocates each idle frequency to the CR that attains the highest energy efficiency at this frequency. Next, we reformulate the original problem first as a throughput maximization problem subject to energy consumption restrictions and then as an energy consumption minimization problem subject to minimum throughput guarantees. These two schedulers also have the power to provide fairness in resource allocation. We analyze the energy efficiency and successful transmission probability of the proposed schedulers under both contiguous and fragmented spectrum scenarios. Performance studies show that, compared with a pure opportunistic scheduler with a throughput maximization objective, proposed schedulers can attain almost the same throughput performance with better energy efficiency.
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2012.2225650