Network Lifetime Maximization for Cellular-BasedM2M Networks
2016 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248Article in journal (Refereed) Submitted
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.
Place, publisher, year, edition, pages
IEEE Press, 2016.
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
Engineering and Technology Communication Systems
IdentifiersURN: urn:nbn:se:kth:diva-194413OAI: oai:DiVA.org:kth-194413DiVA: diva2:1040282
QC 201611032016-10-272016-10-272016-11-14Bibliographically approved