Article

Liu, Tianze, Zhang, Tiankui, Loo, Jonathan ORCID: https://orcid.org/0000-0002-2197-8126 and Wang, Yapeng (2023) Deep reinforcement learning-based resource allocation for UAV-enabled federated edge learning. Journal of Communications and Information Networks, 8 (1). pp. 1-12. ISSN 2096-1081

Shan, Siyang, Feng, Chunyan, Zhang, Tiankui and Loo, Jonathan ORCID: https://orcid.org/0000-0002-2197-8126 (2019) Proactive caching placement for arbitrary topology with multi-hop forwarding in ICN. IEEE Access, 7. pp. 149117-149131.

Zhang, Tiankui, Xu, Xiaogeng, Zhou, Le, Jiang, Xinwei and Loo, Jonathan ORCID: https://orcid.org/0000-0002-2197-8126 (2019) Cache space efficient caching scheme for content-centric mobile ad hoc networks. IEEE Systems Journal, 13 (1). pp. 530-541. ISSN 1932-8184

Zhang, Tiankui, Fan, Hongmei, Loo, Jonathan ORCID: https://orcid.org/0000-0002-2197-8126 and Liu, Dantong (2017) User preference aware caching deployment for device-to-device caching networks. IEEE Systems Journal, 13 (1). pp. 226-237. ISSN 1932-8184

Hu, Zhirui, Zhang, Tiankui and Loo, Jonathan ORCID: https://orcid.org/0000-0002-2197-8126 (2017) Power allocation for coordinated multi-cell systems with imperfect channel and battery-capacity-limited receivers. IEEE Communications Letters, 21 (12). pp. 2746-2749. ISSN 1089-7798

Zhang, Tiankui, Ge, Anmeng, Beaulieu, Norman C, Hu, Zhirui and Loo, Jonathan ORCID: https://orcid.org/0000-0002-2197-8126 (2016) A limited feedback scheme for massive MIMO systems based on principal component analysis. EURASIP Journal on Advances in Signal Processing (64). ISSN 1687-6172

Conference or Workshop Item

Fan, Hongmei, Zhang, Tiankui, Loo, Jonathan ORCID: https://orcid.org/0000-0002-2197-8126 and Liu, Dantong (2018) Caching deployment algorithm based on user preference in device-to-device networks. In: IEEE Global Communications Conference (GLOBCOM) 2017, 04-08 Dec 2017, Singapore.

Lu, Yun, Zhang, Tiankui, Zeng, Zhimin and Loo, Jonathan ORCID: https://orcid.org/0000-0002-2197-8126 (2016) An improved RBF neural network for short-term load forecast in smart grids. In: 2016 IEEE International Conference on Communication Systems (ICCS), 14-16 Dec 2016, Shenzhen, China.