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Improving Power and Resource Management in Heterogeneous Downlink OFDMA Networks

Nalliyanna Goundar Veerappan Kousik, N. Yuvaraj, Suresh Kallam, Rizwan Patan, Amir H. Gandomi

2020Information18 citationsDOIOpen Access PDF

Abstract

In the past decade, low power consumption schemes have undergone degraded communication performance, where they fail to maintain the trade-off between the resource and power consumption. In this paper, management of resource and power consumption on small cell orthogonal frequency-division multiple access (OFDMA) networks is enacted using the sleep mode selection method. The sleep mode selection method uses both power and resource management, where the former is responsible for a heterogeneous network, and the latter is managed using a deactivation algorithm. Further, to improve the communication performance during sleep mode selection, a semi-Markov sleep mode selection decision-making process is developed. Spectrum reuse maximization is achieved using a small cell deactivation strategy that potentially identifies and eliminates the sleep mode cells. The performance of this hybrid technique is evaluated and compared against benchmark techniques. The results demonstrate that the proposed hybrid performance model shows effective power and resource management with reduced computational cost compared with benchmark techniques.

Topics & Concepts

Orthogonal frequency-division multiple accessSleep modeBenchmark (surveying)Computer scienceTelecommunications linkSelection (genetic algorithm)Mode (computer interface)Computer networkPower managementPower (physics)Orthogonal frequency-division multiplexingReal-time computingDistributed computingPower consumptionArtificial intelligenceGeodesyOperating systemPhysicsGeographyQuantum mechanicsChannel (broadcasting)Advanced MIMO Systems OptimizationAdvanced Wireless Network OptimizationCooperative Communication and Network Coding
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