###### Abstract  
The problem of computing and telecommunications is a challenging problem in wireless networks. The problem of computing and telecommunications is a challenging problem in wireless networks. Network (C-RAN) fronthaul segment, assuming different weather conditions, link lengths, and bit rate requirements [1]. Such a methodology enables the determination of the most cost-effective solution for each remote radio head (RRH)-baseband unit (BBU) link and the computation of the required number of BBUs. The second paper, authored by [PERSON], [PERSON], [PERSON], and [PERSON], analyzes via simulation three different 5G communication network architectures--namely, the centralized cloud computing architecture, the multiaccess edge computing architecture, and the proposed Hybrid Cloud Computing (HCC) architecture, in terms of their response capability under normal and disruptive data traffic conditions [2]. The behavior of the abovementioned architectures was assessed using actual data traffic patterns obtained from the field, while the results obtained were used to quantify the advantages and disadvantages of each architecture and demonstrated the benefit of the new HCC architecture. The third paper, authored by [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], and [PERSON], proposes a primary user traffic pattern-based opportunistic spectrum handoff (PUTPOSH) scheme for cognitive radio networks (CRNs) [3]. The proposed scheme permits a cognitive radio user to sense the primary user's traffic through energy-efficient sensing and then adopt a proactive or reactive handoff strategy according to the interarrival rate. Simulation results show that PUTPOSH maximizes the channel utilization and the throughput and, at the same time, minimizes the overall service time and the number of handoffs in CRNs. The fourth paper, authored by [PERSON], [PERSON], [PERSON], [PERSON], and [PERSON], proposes a velocity-based self-optimization algorithm to adjust the handover control parameters in 4G/5G networks [4]. The proposed algorithm utilizes the user's received power and speed to adjust the handover margin and the time to trigger during the user's mobility in the network. Based on simulation results, the authors show that the proposed self-optimization algorithm reduces the rate of ping-pong handovers and radio link failure, compared with other existing algorithms. The fifth paper, authored by [PERSON], proposes a solution for enabling the coexistence of digitized radio-over-fiber and analog radio-over-fiber interfaces operating in the optical fronthaul of 5G mobile systems [5]. The sixth paper, authored by [PERSON], [PERSON], [PERSON], [PERSON], and [PERSON], studies the interesting subject of 5G network slices provisioning by taking into account both the slice node provisioning and the slice link provisioning aspects [6]. More specifically, the authors propose a two-stage heuristic slice provisioning algorithm for the 5G core network by jointly considering network resource attributes and topology attributes. Extensive simulation results show that the proposed algorithm increases the slice request acceptance ratio and, consequently, the revenue of the network infrastructure provider. The seventh paper, authored by [PERSON] and [PERSON], proposes and studies via simulation the end-to-end latency-aware path computation scheme, to improve the link utilization of capacity constraint Ethernet-based fronthaul bridged networks (EFBNs) in 5G C-RANs [7]. More specifically, the authors consider the queuing delays and end-to-end latencies for the selection of the optimal paths for individual enhanced Common Public Radio Interface (eCPRI) traffic streams in the EFBNs. In addition, they propose a packet forwarding mechanism that maximizes the transmissions of multiple eCPRI streams at tolerable latencies and improves the link distances between the RRHs and the BBU pool.