The provision of high data rate services to mobile users combined with improved quality of experience (i.e., zero latency multimedia content) drives technological evolution towards the design and implementation of fifth generation (5G) broadband wireless networks. To this end, a dynamic network design approach is adopted whereby network topology is configured according to service demands. In parallel, many private companies are interested in developing their own 5G networks, also referred to as non-public networks (NPNs), since this deployment is expected to leverage holistic production monitoring and support critical applications. In this context, this paper introduces a 5G NPN architectural approach, supporting among others various key enabling technologies, such as cell densification, disaggregated RAN with open interfaces, edge computing, and AI/ML-based network optimization. In the same framework, potential applications of our proposed approach in real world scenarios (e.g., support of mission critical services and computer vision analytics for emergencies) are described. Finally, scalability issues are also highlighted since a deployment framework of our architectural design in an additional real-world scenario related to Industry 4.0 (smart manufacturing) is also analyzed.

The spectral efficiency of the DVB-T protocol in comparison to the analog television systems will inevitably lead to the reduction of the UHF spectrum that is necessary for the current television broadcasts. Even if the number of available TV programs increases, or new services such as High Definition TV (HDTV) are introduced along with DVB-T, there will still be more available spectrum at any given area than today. The spectrum that will be released by most European countries when the full digital switchover is completed in 2012 has been designated as "digital dividend" and is a matter of controversy between broadcasters and mobile communications operators that wish to occupy part of it. This paper examines the coexistence of DVB-T and IMT-2000 mobile telecommunications in the UHF bands IV and V that are used today for television broadcasting on a primary basis. The situation in which both services operate in adjacent (or even in the same) channels is examined on both technical and regulatory grounds, so as to take into account the international standards and rules for television broadcasting and personal mobile communications, as expressed mainly by the International Telecommunications Union (ITU).

Power allocation is strongly related to the coverage and capacity of wireless networks, playing a critical role in the development of 5G networks. This paper proposes a Demand-Driven Power Allocation (DDPA) algorithm aiming to fulfill the requested throughput of individual users and accommodate their needs. DDPA is based on model-free Deep Reinforcement Learning (DRL) approaches and has the ability to proactively adjust the power levels of network transmitters. The performance of the developed algorithm is evaluated for a variety of simulation parameters and variable user demands. According to the presented results, the DDPA scheme exhibits a near-optimal performance for up to 50 users in the network area (i.e. satisfaction percentage exceeds 95%), with each one requesting 1 Mbps. Moreover, performance comparison between DDPA and two typical baseline methods reveals that the former results into enhanced total allocated throughput solutions (i.e. a performance increase by a factor of approximately 9% against baseline methods).

The goal of the study presented in this paper is to evaluate the performance of a proposed non-orthogonal multiple access (NOMA) scheme, in a fifth generation (5G) multicellular orientation. In this context, a hybrid system-link level simulator has been developed, making the performance evaluation of 5G orientations feasible for various radio resource management (RRM) strategies and transmission techniques. In particular, simulations were performed for a two-tier cellular network (i.e., 57 active sectors) and multiple antennas at both transmission ends (multiple input multiple output -MIMO configuration). According to the presented results, considering a 2×2 MIMO configuration, the total network throughput can be significantly increased when NOMA is employed, without any mean bit error rate (BER) deterioration compared to orthogonal multiple access (OMA) transmission. Importantly, this improvement is achieved with minimum transceiver complexity since the results were derived without employing successive interference cancellation at the receiver side.

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