Items where Author is "Ahmed, Tahir H."
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Ahmed, Tahir H. and Tiang, Jun Jiat and Mahmud, Azwan and Chung, Gwo Chin and Do, Dinh Thuan (2023) Deep Reinforcement Learning-Based Adaptive Beam Tracking and Resource Allocation in 6G Vehicular Networks with Switched Beam Antennas. Electronics (Switzerland), 12 (10). p. 2294. ISSN 2079-9292
Ahmed, Tahir H. and Tiang, Jun Jiat and Mahmud, Azwan and Chung, Gwo Chin (2023) Detection and Mitigation of SQL and Jamming Attacks on Switched Beam Antenna in V2V Networks Using Federated Learning. In: 2023 IEEE Symposium on Industrial Electronics & Applications (ISIEA), 15-16 July 2023, Kuala Lumpur, Malaysia.
Ahmed, Tahir H. and Mahmud, Azwan and Abd. Aziz, Azlan and Yaacob, Syamsuri (2023) Enhanced Deep Cooperative Q-Learning for Optimized Vehicle-to-Vehicle Communication in 5G/6G Networks. In: 2023 14th International Conference on Information and Communication Technology Convergence (ICTC), 11-13 October 2023, Jeju Island, Korea, Republic of.
Ahmed, Tahir H. and Tiang, Jun Jiat and Mahmud, Azwan and Chung, Gwo Chin and Do, Dinh Thuan (2023) Evaluating the Performance of Proposed Switched Beam Antenna Systems in Dynamic V2V Communication Networks. Sensors, 23 (15). p. 6782. ISSN 1424-8220
Ahmed, Tahir H. and Tiang, Jun Jiat and Mahmud, Azwan and Chung, Gwo Chin (2023) A Novel Secure Algorithmic Infrastructure for V2V Systems Using Switched Beam Antenna System. In: 2023 10th International Conference on Electrical and Electronics Engineering (ICEEE), 8-10 May 2023, Istanbul, Turkiye.
Ahmed, Tahir H. and Tiang, Jun Jiat and Mahmud, Azwan and Chung, Gwo Chin and Do, Dinh Thuan (2023) Proposed CtCNet-HDRNN: A Cornerstone in the Integration of 5G mmWave and DSRC for High-Speed Vehicular Networks. IEEE Access, 11. pp. 126482-126506. ISSN 2169-3536
Ahmed, Tahir H. and Tiang, Jun Jiat and Mahmud, Azwan and Do, Dinh Thuan and Tran, Truong and Mumtaz, Shahid (2023) V2V Communications Using Blockchain-Enabled 6G Technology and Federated Learning. In: GLOBECOM 2023 - 2023 IEEE Global Communications Conference, 04-08 December 2023, Kuala Lumpur, Malaysia.