Navegando por Assunto "C-RAN (Rede de acesso de radio em nuvem)"

Agora exibindo 1 - 2 de 2

Acesso aberto (Open Access)
Estimação de crosstalk em redes c-ran com fronthaul de cobre
(Universidade Federal do Pará, 2019-02-26) MONTEIRO, Waldeir de Brito; BORGES, Gilvan Soares; http://lattes.cnpq.br/7696860178450119; COSTA, João Crisóstomo Weyl Albuquerque; http://lattes.cnpq.br/9622051867672434
The implementation of the 5G standard will make the current mobile network architectures evolve towards C-RAN configurations, which are characterized by concentrating processing on a base station, from where the signal is distributed to remote antennas. To maintain uniform coverage, these systems rely on a dense network of low-power antennas scattered throughout buildings. This approach increases the complexity of the network’s Multi Input Multi Output (MIMO) system, which may hamper certain measurements involving equipment at both ends of the link. This work presents a method for the estimation of Far End Crosstalk (FEXT) and Insetion Loss (IL) using only one end of the link in order to bavoid synchronization problems present in complex MIMO systems. Compared to other methods with similar proposals, the presented technique combines a simpler approach to a lesser degree of dependence on dual loop measurements, besides complementing techniques that can accomplish these measurements, but in a restricted range of frequencies
Acesso aberto (Open Access)
Mapeamento otimizado entre RRH-BBU visando o balanceamento de carga em arquitetura C-RAN utilizando inteligência computacional
(Universidade Federal do Pará, 2018-12-20) PAIXÃO, Ermínio Augusto Ramos da; CARDOSO, Diego Lisboa; http://lattes.cnpq.br/0507944343674734
The Cloud Radio Access Network (C-RAN) is an architecture proposition for next-generation mobile networks (5G), aimed at centralized management and processing, collaborative radio and real-time cloud computing. Such features enable this architecture to dynamically adjust the connections between Remote Radio Heads (RRHs) and Baseband Units (BBUs). However, if this feature is neglected, network problems such as blocked call and poor connection may occur. This work addresses this issue and proposes an optimized mapping model between RRH-BBU, seeking a fairer and more efficient balancing. In this sense, the Key Performance Indicator (KPI) of blocked calls was used to measure Quality of Service (QoS) metrics. In order to minimize them, an algorithm by Particle Swarm (PSO) was developed. A literature scenario composed of 19 RRHs distributed in a geographical area was used, which can be mapped in a BBU pool that manages two BBUs that have three sectors each. The initial configuration generated, on average, 80 blocked calls. Results obtained indicate a reduction of up to 100% of blocked calls and a more egalitarian load distribution among the BBUs. In addition, realistic scenarios with different user profiles were implemented, demonstrating that such factors directly impact the load generated by the BBUs and, consequently, affect their balancing. In order to verify the proposed formulation, in Network Simulator (NS-3) the same scenario used in the modeling was implemented, through the comparison of optimized and non-optimized scenarios, in order to the impact of serving more users in the network, where satisfactory results were obtained.