As a key technique for enabling artificial intelligence, machine learning (ML) is capable of
solving complex problems without explicit programming. Motivated by its successful …

Future 6G wireless communication systems are expected to feature intelligence and
automation. Knowledge-defined networking (KDN) is an evolutionary step toward …

The formation flights of multiple unmanned aerial vehicles (UAV) can improve the success
probability of single-machine. Dynamic spectrum interaction solves the problem of the …

The combination of multi-agent technology and reinforcement learning methods has been
recognized as an effective way which is used in path planning-based crowd simulation …

In this paper, we propose a distributed solution to design a multi-hop ad hoc Internet of
Things (IoT) network where mobile IoT devices strategically determine their wireless …

Abstract Wireless Mesh Networks is increasingly being applied widely with explosive traffic
demand. This leads to a great challenge for traditional routing protocols in ensuring Quality …

This paper explores joint power allocation and route selection in a multihop cognitive radio
network consisting of secondary transmitter and receiver connected through decode-and …

This paper considers the routing problem in the communication process of an energy
harvesting (EH) multi-hop cognitive radio network (CRN). The transmitter and the relay …

Software configurable radio with dynamic spectrum support is the inherent property of
Cognitive radio. Interoperability of Cognitive radio with wireless sensor network would …

We design, develop, and experimentally validate a complete integrated software/hardware
platform for airborne cognitive networking in both indoor and outdoor environments. We first …