Network Slicing and Deep Reinforcement Learning (DRL) are vital enablers for achieving
5G and 6G networks. A 5G/6G network can comprise various network slices from unique or …

Network slicing (NS) is becoming an essential element of service management and
orchestration in communication networks, starting from mobile cellular networks and …

One of the key foundations of 5th Generation (5G) and beyond 5G (B5G) networks is
network slicing, in which the network is partitioned into several separated logical networks …

5G and beyond networks are expected to support a wide range of services, with highly
diverse requirements. Yet, the traditional “one-size-fits-all” network architecture lacks the …

The Viterbi algorithm is widely adopted in digital communication systems because of its
capability of realizing maximum-likelihood signal sequence detection. However …

Radio Access Network (RAN) slicing is a key technology in 5G communication systems. It
dynamically allocates network resources such as bandwidth and time slots to each RAN …

Fifth-generation (5G) wireless networks enable gigabit-per-second data speeds, minimal
latency, and reliable Internet of Things (IoT) connectivity. Thus, network slicing (NS) has …

Cognitive Radio (CR) with other advancements such as the Internet of things and machine
learning has recently emerged as the main involved technique to use spectrum in an …

In this paper, an uplink signal detection problem is considered for Internet-of-Things (IoT)
networks. Owing to the imperfections of IoT devices including I/Q imbalance and amplifier …

Artificial intelligence has the ability to provide simple solutions to complex problems by
analyzing huge volumes of data in a short amount of time with appropriate accuracy. With …