Green communications is an inevitable trend for future communication network design,
especially for a cognitive radio network. Power allocation strategies are of crucial …

This paper studies the throughput of spectrum sharing networks utilizing rate adaptation. We
use some recent results on the achievable rates of finite block-length codes to analyze the …

Fairness among different users and energy utilization are key issues in the future
communication network design. Robust max-min fairness resource allocation in sensing …

Due to the highly-stochastic nature of wireless channels, how to provide efficient delay
quality-of-service (QoS) provisioning for primary users (PU) while optimizing the …

Energy efficiency (EE) is very crucial for future green wireless communication systems,
particularly for cognitive radio networks (CRNs). However, the EE design for CRNs in fast …

This letter studies the interference-constrained performance of spectrum sharing networks
using adaptive power allocation. The throughput of the secondary user is derived in different …

The computational complexity of resource allocation processes, in cognitive radio networks
(CRNs), is a major issue to be managed. Furthermore, the complicated solution of the …

Green cognitive radios are promising in future wireless communications due to high energy
efficiency. Energy efficiency maximization problems are formulated in delay‐insensitive …

Effective radio frequency spectrum sharing methods are crucial for sustaining growth and
development in mobile wireless services. In this paper, we consider a real-world scenario …

In cognitive radio networks (CRNs), the computational complexity of resource allocation
algorithms is a significant problem that must be addressed. However, the high computational …