mmMaximum Energy-Efficiency Approach for Resources Allocation in LTE-A System by Using Battery Deposit Service (BDS)

The long-term evolution (LTE) is the newly adopted technology which enhances capacity and coverage for current mobility networks, which experience a constant traffic increase. LTE communication system based on a redesigned physical layer and an orthogonal frequency division multiple access (OFDMA) modulation. In this paper, proposed the Energy Efficient (EE) resource allocation approach in OFDMA downlink networks that based upon heterogeneous services used in Device to Device (D2D) communication. In this approach we consider End to End Energy Consumption technique i.e. energy consumption of both transmitter and receiver. We formulated the problem of EE resource allocation as a mixed combinatorial and non-convex optimization problem. An evolutionary method based on Binary quantumbehaved particle swarm optimization (BQPSO) is proposed to solve the formulated problem. The simulation results show that the proposed algorithm not only can improve system energy efficiency but also can guarantee heterogeneous Quality of service (QoS) requirement.

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