Jul 2026· IEEE International Conference on Consumer Electronics· pp. 619-624· 0 citations· 12 references
Abstract
Achieving global ubiquitous connectivity in 6G wireless systems necessitates the seamless integration of terrestrial networks with Space-Air-Ground Integrated Networks (SAGINs). However, joint task offloading and resource orchestration in such heterogeneous architectures involve large-scale combinatorial optimization challenges. This paper proposes a Hybrid Quantum-Inspired Meta-Heuristic (QIMH) approach to minimize system costs, effectively balancing latency and energy consumption. By utilizing quantum superposition principles and adaptive quantum rotation gates, the proposed algorithm enhances explorationexploitation capabilities. Furthermore, the optimization framework is implemented using vectorized tensor operations on an NVIDIA RTX 4090 GPU. Experimental results demonstrate that the proposed Hybrid QGA outperforms Particle Swarm Optimization (PSO) with up to 10.96% cost reduction. Notably, the algorithm maintains a near-constant execution time of approximately 0.25 seconds for up to 1000 users, proving its real-time feasibility for large-scale 6G non-terrestrial network applications.
The QCOEM framework can deliver stable, high-fidelity execution and lightweight resource management for quantum cloud computing and shows zero task rescheduling and about 30% higher mean fidelity than noise-agnostic heuristics, while maintaining bounded scheduling overhead.
Tam N. Pham, H. T. Nguyen, Quan Le-Trung· IEEE International Conferenc...· 0 citations
These quantitative findings demonstrate that tightly coupled hybrid co-processing, physically adjacent to the control electronics, is critical for extending the computational bound of Noisy Intermediate-Scale Quantum (NISQ) devices.
Akshay Joseph, R. Delhibabu· Frontiers of Computer Scienc...· 0 citations
A novel framework, termed DRL-RA, which synergistically integrates Deep Reinforcement Learning (DRL) with reliability-aware optimization with explicit reliability guarantees through cross-layer link reliability modeling, node availability estimation, and smooth reliability proxy functions is proposed.
Fei-Yan Bu, Zheng Wang, Yong Pan et al.· Computers, Materials & C...· 0 citations
A Quantum Federated Reinforcement Learning (QFRL)‐based traffic offloading framework for RSMA‐enabled SAGINs is proposed, allowing distributed small cells to jointly optimize traffic offloading ratios, bandwidth allocation, RSMA power distribution, and UAV trajectory planning while satisfying stringent delay and reliab...
Ishan Budhiraja, Abhay Bansal, B. Unhelkar et al.· Transactions on Emerging Tel...· 0 citations
The growing smart devices (SDs) in the Industrial Internet of Things (IIoT) generate complex computations that strain the performance and energy of local processing. Mobile Edge Computing (MEC) addresses this by providing nearby computing resources for low-latency offloading. However, achieving efficient computation of...
Xinmin Cheng, Chengquan Yu, Lu Gao et al.· IEEE Transactions on Green C...· 0 citations
As practical quantum networks approach large-scale deployment, the need for efficient user-to-user frequency allocation is increasing, yet current approaches only provide partial solutions to the routing and spectrum allocation problem for an arbitrary quantum network. We address this challenge for repeater-less flex-g...
Zachary Goisman, M. L. Stevens, Maxwell Goisman et al.· 0 citations
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