Smart User Offloading to mmWave: Leveraging Application Demand and Device Capability for Enhanced Network Efficiency
Keywords:
Application demand, Device capability, mmWave, QoS, User, UtilityAbstract
In heterogeneous 5G networks, efficient user association is crucial for optimizing spectral resources and enhancing Quality of Experience (QoE). This study proposes a smart user offloading framework that leverages both application-awareness and device-centric detection to dynamically associate users with the millimeter-wave (mmWave) tier. The core of the method is a utility-based optimization model, where user utility is a function of application bandwidth demands , device capability indicator , and mmWave availability . The network solves a weighted maximization problem, where xi indicates the offloading decision, M is the number of available mmWave slots, and α and β are tunable weights prioritizing bandwidth demand and device capability respectively. Devices running high-bandwidth applications (e.g., VR, 4K streaming) and equipped with mmWave-compatible radios are preferentially offloaded. Simulation results in a dense urban macrocell environment demonstrate an increase in average mmWave utilization, reduction in sub-6 GHz congestion, and an improvement in application throughput for high-demand users. The framework shows promise for intelligent, scalable offloading in next-generation networks by balancing real-time demand and hardware capabilities.
References
Ericsson, “Leveraging the potential of 5G millimeter wave,” www.ericsson.com, Feb. 01, 2021. Available: https://www.ericsson.com/en/reports-and-papers/further-insights/leveraging-the-potential-of-5g-millimeter-wave
Qualcomm. What’s in the future of 5G millimeter wave? 2021, Available: https://www.qualcomm.com/content/dam/qcomm-martech/dm-assets/documents/what-s-in-the-future-of-5g-millimeter-wave.pdf
D. Liu et al., “User association in 5G networks: A survey and an outlook,” IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 1018-1044, Second quarter 2016, doi: https://doi.org/10.1109/COMST.2016.2516538
X. Zhang et al., “QoS-aware user association and transmission scheduling for millimeter-wave train-ground communications,” IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 9, pp. 9532-9545, Sept. 2023, doi: https://doi.org/10.1109/TITS.2023.3271788
Tamunotonye Sotonye Ibanibo, Collins Iyaminapu Iyolom, “Enhancing user association to mmWave with network slicing and QoS prioritization from Sub-6 GHz bands”. International Journal of Current Science Research and Review, vol. 08, no. 0, pp. 688-694 2025, Available: https://ijcsrr.org/wp-content/uploads/2025/02/13-0702-2025.pdf
N. Hassan, X. Fernando, I. Woungang, and Alagan Anpalagan, “User association performance trade-offs in integrated RF/mmWave/THz communications,” Future Internet, vol. 15, no. 12, pp. 376–376, Nov. 2023, doi: https://doi.org/10.3390/fi15120376
Z. Si, Gang Chuai, K. Zhang, W. Gao, X. Chen, and X. Liu, “Backhaul capacity-limited joint user association and power allocation scheme in ultra-dense millimeter-wave networks,” Entropy, vol. 25, no. 3, pp. 409–409, Feb. 2023, doi: https://doi.org/10.3390/e25030409
L. Weedage, C. Stegehuis, and S. Bayhan, “Beam-align: Distributed user association for mmWave networks with multi-connectivity,” Computer Networks, vol. 270, pp. 111446–111446, Jul. 2025, doi: https://doi.org/10.1016/j.comnet.2025.111446
E. Sopin, D. Moltchanov, A. Daraseliya, Y. Koucheryavy and Y. Gaidamaka, “User association and multi-connectivity strategies in joint terahertz and millimeter wave 6G systems,” IEEE Transactions on Vehicular Technology, vol. 71, no. 12, pp. 12765-12781, Dec. 2022, doi: https://doi.org/10.1109/TVT.2022.3195607
M. Sana, A. De Domenico, W. Yu, Y. Lostanlen, and E. Calvanese Strinati, “Multi-agent reinforcement learning for adaptive user association in dynamic mmWave networks,” in IEEE Transactions on Wireless Communications, vol. 19, no. 10, pp. 6520-6534, Oct. 2020, doi: https://doi.org/10.1109/TWC.2020.3003719
A. Alizadeh and M. Vu, “Time-fractional user association in millimeter wave MIMO networks,” 2018 IEEE International Conference on Communications (ICC), Kansas City, MO, USA, 2018, pp. 1-6, doi: https://doi.org/10.1109/ICC.2018.8422540
