Thirty years of machine learning: The road to Pareto-optimal wireless networks
Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …
complex compelling applications both in military and civilian fields, where the users are able …
Cognitive radio for M2M and Internet of Things: A survey
Internet of things (IoT) paradigm poses new challenges to the communication technology as
numerous heterogeneous objects will need to be connected. To address these issues new …
numerous heterogeneous objects will need to be connected. To address these issues new …
Deep reinforcement learning assisted federated learning algorithm for data management of IIoT
The continuous expanded scale of the industrial Internet of Things (IIoT) leads to IIoT
equipments generating massive amounts of user data every moment. According to the …
equipments generating massive amounts of user data every moment. According to the …
SDN-based resource allocation in edge and cloud computing systems: An evolutionary Stackelberg differential game approach
Recently, the boosting growth of computation-heavy applications raises great challenges for
the Fifth Generation (5G) and future wireless networks. As responding, the hybrid edge and …
the Fifth Generation (5G) and future wireless networks. As responding, the hybrid edge and …
Space-air-ground integrated multi-domain network resource orchestration based on virtual network architecture: A DRL method
Traditional ground wireless communication networks cannot provide high-quality services
for artificial intelligence (AI) applications such as intelligent transportation systems (ITS) due …
for artificial intelligence (AI) applications such as intelligent transportation systems (ITS) due …
Resource allocation in spectrum-sharing OFDMA femtocells with heterogeneous services
Femtocells are being considered a promising technique to improve the capacity and
coverage for indoor wireless users. However, the cross-tier interference in the spectrum …
coverage for indoor wireless users. However, the cross-tier interference in the spectrum …
UAV-assisted wireless energy and data transfer with deep reinforcement learning
As a typical scenario in future generation communication network applications, UAV-
assisted communication can perform autonomous data delivery for massive machine type …
assisted communication can perform autonomous data delivery for massive machine type …
Interference-limited resource optimization in cognitive femtocells with fairness and imperfect spectrum sensing
The use of cognitive-radio (CR)-enabled femtocell is regarded as a promising technique in
wireless communications, and many studies have been reported on its resource allocation …
wireless communications, and many studies have been reported on its resource allocation …
Energy-efficient cooperative spectrum sensing: A survey
The article analyzes the problem of energy efficient techniques in cooperative spectrum
sensing (CSS). Although it was proven that single-device sensing is not sufficient for reliable …
sensing (CSS). Although it was proven that single-device sensing is not sufficient for reliable …
New method of energy efficient subcarrier allocation based on evolutionary game theory
D Zhang, C Chen, Y Cui, T Zhang - Mobile Networks and Applications, 2021 - Springer
Since there is a competition between subcarriers because FBMC (Filter Bank Multicarrier)
modulation technology does not need subcarriers to be orthogonal to each other, we …
modulation technology does not need subcarriers to be orthogonal to each other, we …