• PREETI SINGH
• MOHIT KHILWANI

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 quantum-behaved 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

Long Term Evolution, D2D communication, Battery Deposit Service, Resources allocation, energy-efficient resource allocation algorithm.

"mmMaximum Energy-Efficiency Approach for Resources Allocation in LTE-A System by Using Battery Deposit Service (BDS)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 2, page no.405-411, February-2018, Available :http://www.jetir.org/papers/JETIR1802065.pdf

"mmMaximum Energy-Efficiency Approach for Resources Allocation in LTE-A System by Using Battery Deposit Service (BDS)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 2, page no. pp405-411, February-2018, Available at : http://www.jetir.org/papers/JETIR1802065.pdf