6533b7d8fe1ef96bd1269bbc
RESEARCH PRODUCT
Distributed Resource Allocation for Energy Efficiency in OFDMA Multicell Networks with Wireless Power Transfer
Zheng ChangChungang YangXijuan GuoZhongyu WangTapani RistaniemiZhu Hansubject
Optimization problemComputer Networks and CommunicationsComputer sciencesubcarrier allocationenergiatehokkuusDistributed computingwireless power transfer02 engineering and technologyData_CODINGANDINFORMATIONTHEORYSubcarrierNonlinear programmingantenna selectionBase stationTelecommunications link0202 electrical engineering electronic engineering information engineeringComputer Science::Networking and Internet ArchitectureWirelessElectrical and Electronic Engineeringvoimansiirtoenergy efficiencyComputer Science::Information Theoryta213business.industryComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKStime allocation020206 networking & telecommunicationspower allocationChannel state informationResource allocationbusinesslangattomat verkotEfficient energy usedescription
In this paper, an energy-efficient resource allocation problem is investigated for the wireless power transfer (WPT)-enabled OFDMA multicell networks. In the considered system, multiple base stations (BSs) with a large number of antennas are responsible to provide WPT in the downlink, and the users can recycle and utilize the received energy for uplink data transmission. The role of BS is to execute WPT; thus, there are no data transmissions in the downlink. A time-division protocol is considered to divide the time of downlink WPT and uplink wireless information transfer into separate time slots. With the objective to improve the energy efficiency, we propose the time, subcarrier, and power allocation schemes and antenna selection algorithms. As the perfect channel state information (CSI) is hard to obtain in the practical systems, we also take the case where only estimated CSI is available into consideration when executing resources allocation decisions and analyze the corresponding performance. Due to the non-convexity of the formulated optimization problem, we first apply the nonlinear programming scheme to convert it to a convex optimization problem. Then, an efficient alternating direction method of multipliers-based distributed resource allocation algorithm is applied to address the transformed problem. Performance evaluations are conducted to demonstrate the advantages of the proposed schemes. peerReviewed
year | journal | country | edition | language |
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2019-02-01 |