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_c17052 _d17052 |
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| 003 | OSt | ||
| 005 | 20220704143303.0 | ||
| 008 | 220704b xxu||||| |||| 00| 0 eng d | ||
| 040 |
_aAIKTC-KRRC _cAIKTC-KRRC |
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| 100 |
_917061 _aPatil, Gajanan Uttam |
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| 245 | _aOptimizing qos in self organizing heterogeneous wireless cellular network using firefly algorithm | ||
| 250 | _aVol.13(1) - March | ||
| 260 |
_aChennai _bICT Academy _c2022 |
||
| 300 | _a2627-2634p. | ||
| 520 | _aCapacity and energy efficiency are crucial for next-generation wireless networks. Due to the dense deployment of base stations (BSs) in a heterogeneous network (HetNets), the consumption is from 60% to 80% of the total energy causing accentuated costs. Therefore, industry and researchers work to reduce the energy consumption of HetNets. The power optimization problem in the network is taken care of by the proposed reward function in a distributed network. To increase energy efficiency, guaranteeing the QoS requirements, this paper proposes the use of a firefly optimization algorithm with BS shutdown. The simulation results demonstrate that the proposed algorithms have better energy efficiency performance than the maximum power-based user association mechanism. Keywords: AWNs, Firefly Algorithm, Markov Decision Process, Q-learning, Greedy | ||
| 650 | 0 |
_917039 _aElectronics & Computer Science (ECS) |
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| 700 |
_917062 _aKulkarni, Girish Ashok |
||
| 773 | 0 |
_dChennai ICT Academy _x0976-0091 _tICTACT journal on communication technology |
|
| 856 | _uhttp://ictactjournals.in/paper/IJCT_Vol_13_Iss_1_Paper_6_2627_2634.pdf | ||
| 942 |
_2ddc _cAR |
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