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A self-configured link adaptation for green LTE downlink transmission

Author:
Salman, Mustafa Ismael   Ng, Chee Kyun   Noordin, Nor Kamariah   Ali, Borhanuddin Mohd   Sali, Aduwati   


Journal:
Transactions on Emerging Telecommunications Technologies


Issue Date:
2015


Abstract(summary):

Green deployment for cellular eNodeBs has been proposed recently to save power and reduce the huge amount of carbon dioxide (CO (2)) emitted by traditional power-hungry base stations. Green eNodeBs should also be subjected to restrictions on high data rate and quality of service (QoS), which both entail a high level of power consumption. In this regard, this paper addresses the trade-off between energy efficiency (EE) and spectral efficiency (SE) in both traditional and green long-term evolution eNodeBs without sacrificing the QoS. EE is proved to monotonically increase with SE in traditional macrocells and quasi-concave in green macrocells. Accordingly, a new mapping between channel quality indicator and modulation and coding scheme is proposed to address EE-SE trade-off with the use of a multi-criteria decision-making technique. Then, a self-configured link adaptation (SCLA) algorithm is developed to ensure that the priority weights related to EE and SE are adapted according to network load with the use of real-time cross-layer optimization. Simulation results show that the proposed SCLA provides a significant gain in EE and 52% reduction of CO (2) while maintaining SE close to the optimal value. Current and next-generation cellular networks require such interactive techniques in order to be self-optimised without complex modifications. Copyright (c) 2014 John Wiley & Sons, Ltd.


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