A Hybrid Approach for Optimized Resource Allocation in a Deployed 4G Long Term Evolution (LTE) Network
DOI:
https://doi.org/10.55524/ijircst.2023.11.1.14Keywords:
4G systems, Long Term Evolution (LTE), Binary Phase Shift Keying modulation (BPSK), Quadrature Phase Shift Keying (QPSK) and Quadrature amplitude modulation (QAM), Orthogonal Frequency Division Multiplexing (OFDM)Abstract
A 4G system is expected to provide an all inclusive and secure all-IP based mobile broadband solution to laptop, wireless modems, computer, smart phones, and other mobile devices. Although many studies were conducted in the past, there are still many challenges to be met when resource allocation is to be performed in an optimal manner. In the light of the same, a hybrid approach for optimized resource allocation is proposed in a deployed 4G Long Term Evolution (LTE) network. For this to accomplish, firstly a comparative study of the state-of-the-art models has been performed to find out the most optimal method for resource allocation and then propose a hybrid approach to blend the merits of two or more techniques. So, in this article, four main techniques, namely, Binary Phase Shift Keying modulation (BPSK), Quadrature Phase Shift Keying (QPSK), Quadrature amplitude modulation (QAM), Orthogonal Frequency Division Multiplexing (OFDM), as modulation techniques have been compared. Since, OFDM outperformed the other modulation techniques, so, it has been integrated with QPSK and OFFT to obtain the most optimal resource allocation. Experimental results show that the proposed technique is simple and robust, and quite promising in the near future for deployed 4G LTE networks.
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References
Ahmed, F & Tirkkonen, O 2016, ‘Simulated annealing variants for self- organized resource allocation in small cell networks’, Applied Soft Computing, vol. 38, pp. 762-770.
Assaad, M, 2008, ‘Optimal fractional frequency reuse (FFR) in multicellular OFDMA system’, Vehicular Technology Conference, pp. 1-5.
Elayoubi, SE, Haddada, OB & Fourestie, B 2008, ‘Performance evaluation of frequency planning schemes in OFDMA-based networks’, IEEE Transactions on Wireless Communications, vol. 7, no. 5, pp. 1623– 1633.
Jahagir Khan et al., 2015, “5G Mobile Communications A mandatory wireless infrastructure for Big data”, Third International Conference on Advances in Computing, Electronics and Electrical Technology - CEET 2015
Kubbar et al., 2012, “A fairness-based preemption algorithm for LTE-Advanced”, Qatar Foundation Annual Research Forum Proceedings, 2012.
Tang, M, Xin, Y, Li, J & Zhai, J 2013, ‘Nonconvex resource control and lifetime optimization in wireless video sensor networks based on chaotic particle swarm optimization’, Applied Soft Computing, vol. 13, no. 7, pp. 3273-3284.
Van Nguyen, M, Sungwon, LE & Hong, CS 2013, ‘Joint rate adaption, power control, and spectrum allocation in OFDMA based multi-hop CRNs’, IEICE Transactions on Communications, vol. 96, no. 1, pp. 242-253
Wang, YC & Hsieh SY 2016, ‘Service-differentiated downlink flow scheduling to support QoS in long term evolution’, Computer Networks, pp. 344-359.
Xiang, Y, Luo, J & Hartmann, C 2007, ‘Inter-cell interference mitigation through flexible resource reuse in OFDMA based communication networks’, European wireless, pp. 1-7
Zhang, X, He, C, Jiang, L & Xu, J 2008, ‘Inter-cell interference coordination based on softer frequency reuse in OFDMA cellular systems’, Neural Networks and Signal Processing, pp. 270-275
Zhao Q, Liew, SC, Zhang, S & Yu, Y 2016, ‘Distance-based location management utilizing initial position for mobile communication networks’, IEEE Transactions on Mobile Computing, vol. 15, no. 1, pp. 107-120.