Resource Scheduling in Wireless Communication Networks
Summary
Resource scheduling in wireless communication networks orchestrates the allocation of limited radio resources among multiple users and applications to meet diverse performance objectives. Central to this discipline is the management of time, frequency and spatial resources to achieve high throughput, low latency and equitable access. In contemporary systems such as Long Term Evolution (LTE) and Fifth Generation (5G), schedulers must balance competing demands from enhanced mobile broadband, ultra-reliable low-latency communications and massive machine-type communications. Key challenges include rapidly varying channel conditions, heterogenous traffic types and stringent quality-of-service requirements. Modern approaches range from classical rule-based algorithms that rely on channel state information to machine-learning frameworks that predict traffic patterns and user behaviour. Emerging metaheuristic methods aim to optimise multiple criteria—such as energy efficiency, delay and spectral efficiency—simultaneously. Effective scheduling underpins a wide array of applications, from high-definition video streaming and real-time gaming to vehicle-to-vehicle safety messages and large-scale Internet of Things deployments. As network densities increase and spectrum becomes scarcer, advanced scheduling strategies will remain pivotal in delivering reliable, high-performance wireless connectivity on a global scale.
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Resource Scheduling in Wireless Communication Networks publication trend
The graph below shows the total number of articles in resource scheduling in wireless communication networks across all publications each year (not limited to Nature Index journals).
Technical terms
Quality of Service (QoS): The set of performance requirements (such as throughput, delay and jitter) that a network must satisfy for given applications.
Resource Block (RB): The smallest allocatable unit of frequency and time in LTE and 5G systems, typically comprising a group of contiguous subcarriers over a time slot.
Spectral Efficiency: A measure of how effectively a wireless system utilises bandwidth, usually expressed in bits per second per hertz.
Proportional Fair (PF) scheduling: A resource allocation strategy that balances throughput maximisation with fairness by weighting users according to their average data rates.
Artificial Neural Network (ANN): A data-driven model inspired by biological neural networks, capable of learning complex mappings between inputs (e.g. channel measurements) and scheduling decisions.
Metaheuristic algorithm: An optimisation technique that explores solution spaces using stochastic or nature-inspired rules to address complex scheduling problems.
References
- Optimized Downlink Scheduling over LTE Network Based on Artificial Neural Network. Computers (2023).
- Proportional fair buffer scheduling algorithm for 5G enhanced mobile broadband. International Journal of Electrical and Computer Engineering (IJECE) (2021).
- Dragonfly-Based Joint Delay/Energy LTE Downlink Scheduling Algorithm. IEEE Access (2020).
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