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Network Lifetime Maximization for Cellular-Based M2M Networks
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- Azari, Amin (author)
- KTH,Radio Systems Laboratory (RS Lab),COS
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- Miao, Guowang (author)
- KTH,Kommunikationssystem, CoS
- (creator_code:org_t)
- IEEE Press, 2017
- 2017
- English.
- In: IEEE Access. - : IEEE Press. - 2169-3536.
- Journal article (peer-reviewed)
Abstract
Subject headings
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- High energy efficiency is critical for enabling massivemachine-type communications (MTC) over cellular networks.This work is devoted to energy consumption modeling,battery lifetime analysis, lifetime-aware scheduling and transmitpower control for massive MTC over cellular networks. Weconsider a realistic energy consumption model for MTC andmodel network battery-lifetime. Analytic expressions are derivedto demonstrate the impact of scheduling on both the individualand network battery lifetimes. The derived expressions aresubsequently employed in uplink scheduling and transmit powercontrol for mixed-priority MTC traffic in order to maximizethe network lifetime. Besides the main solutions, low-complexitysolutions with limited feedback requirement are investigated,and the results are extended to existing LTE networks. Also,the energy efficiency, spectral efficiency, and network lifetimetradeoffs in resource provisioning and scheduling for MTC overcellular networks are investigated. The simulation results showthat the proposed solutions can provide substantial networklifetime improvement and network maintenance cost reductionin comparison with the existing scheduling schemes.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)
Keyword
- Internet of Things
- Machine to Machine Communications
- Cellular Networks
- Scheduling
- Energy Efficiency
- Resource Allocation.
- زمانبندی، مخام، اینترنت اشیا، مخابرات گوشی به گوشی، طول عمر باتری، بهینگی انرژی
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