Title
Energy-efficient uplink radio resource management in LTE-advanced relay networks for Internet of Things
Abstract
For M2M (Machine-to-Machine) machines in cellular networks, employing high transmission rates or transmitting in large power actually cost them much energy. This is harmful to the machines, especially they are operated by batteries. The Relay Node (RN) in Long-Term Evolution-Advanced (LTE-A) networks is used to enhance the coverage of high data rate and solve the coverage hole problem. Considering the limited energy nature of machines, connecting to the RN instead of the BS is a better choice for cell-edge machines. In this paper, we consider an uplink resource and power allocation problem for energy conservation in LTE-A relay networks. The objective is to minimize the total energy consumption of machines while guarantee their quality of service (QoS). We prove this uplink resource and power allocation problem to be NP-complete and develop an energy-conserved resource and power allocation method to solve the problem. Simulation results show that our algorithm can effectively reduce the energy consumption of machines and guarantee their required service qualities.
Year
DOI
Venue
2014
10.1109/IWCMC.2014.6906449
IWCMC
Keywords
Field
DocType
relay networks (telecommunication),relay network,resource allocation problem,optimisation,machine-to-machine (m2m),lte-a,uplink resource,relay networks,cellular radio,quality of service,energy conservation,lte-a network,np-complete problem,telecommunication power management,power allocation problem,resource allocation,quality of service guarantee,internet of things (iot),cell edge machine,cellular network,machine-to-machine communication,qos,long term evolution-advanced,long term evolution,energy efficient uplink radio resource management,energy efficiency,internet of things,internet of things iot,lte a
Radio resource management,Energy conservation,Efficient energy use,Computer science,Computer network,Quality of service,Resource allocation,Energy consumption,Relay,Telecommunications link,Distributed computing
Conference
ISSN
Citations 
PageRank 
2376-6492
6
0.43
References 
Authors
3
3
Name
Order
Citations
PageRank
Jen-Jee Chen120523.90
Jia-Ming Liang210413.26
Zeng-Yu Chen360.77