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![Analysis of the 26 GHz signal in the femtocell with 10 m range and 4 Gbit/s throughput: A, constellation; B, eye diagram; C, electrical spectrum; and D, EVMRMS [Color figure can be viewed at wileyonlinelibrary.com]](publication/343710489/figure/fig5/AS:11431281176530908@1690201502887/Analysis-of-the-26GHz-signal-in-the-femtocell-with-10-m-range-and-4-Gbit-s-throughput-A.png)
Analysis of the 26 GHz signal in the femtocell with 10 m range and 4 Gbit/s throughput: A, constellation; B, eye diagram; C, electrical spectrum; and D, EVMRMS [Color figure can be viewed at wileyonlinelibrary.com]
Source publication
This work reports the implementation of a 5G new radio (NR) fiber-wireless (FiWi)
system for long-reach and enhanced mobile broadband (eMBB) scenarios. The pro-
posed 5G NR FiWi system includes a 12.5 km optical distribution network based
on radio over fiber (RoF) technology, a 7.5 km supercell in a rural area using the
700 MHz band, digital pre-di...
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In this work, we investigate the feasibility of optical powering in coexistence with radio transmission using baseband signals with 5G New Radio (5G NR) numerology with different bandwidths (BW) on Analog Radio over Fiber (ARoF) systems with single mode fibers (SMF). We focus on the impact of chromatic dispersion (CD), non-linear effects, High Powe...
Citations
... To prevent 5G and 6G bands from interfering with each other, the of the 6G signal was increased by 250 MHz for every 2 GB increment in the baud rate. In addition, the performance of the proposed system is summarized and compared in Table 2 with the state-of-the-art relevant method of the 5G RoF system, which was evidenced in the previous work of the authors in [16] and others in [43], with the same link length and other settings. The wireless reception can be further enhanced by using wireless signal detection using the techniques discussed in [44]. ...
The terahertz (THz) frequency bands are being explored as a potential means of enabling an ultra-high transmission capacity in sixth-generation (6G) radio-access networks (RAN) because higher frequencies offer broader bandwidths. When utilized in wireless communications, high-frequency electromagnetic waves impose several physical restrictions. To overcome these difficulties and to expand the service coverage, the radio-over-fibre (RoF)-based distributed antenna system (DAS), in particular, can improve the usability of future mobile networks with advantages such as seamless media conversion between wireless and optical signal, flexible multichannel aggregations, and efficiency. RoF technology’s inherent advantages are that it improves the DAS network’s usability and transmission performance by allowing it to provide both 5G and 6G THz services at the same time over a single optical fibre connection. We experimentally broadcast a single carrier-modulated 6G signal using a 256 quadrature amplitude modulation and a 5G new radio signal across a 10 km single mode fibre optic link. Additionally, the 6G signal is received through a 3 m wireless medium providing, proof of concept for fibre wireless integration. The experimental trials are assessed in terms of error vector magnitude and carrier suppression ratio. The dynamic range of the allowed RF input power for a 6G signal is 10 dB, while the dynamic range for a 5G waveform signal is 18 dB, which meets the 3GPP standardization criteria. Moreover, the bit error rate performance significantly improved as the carrier suppression ratio was increased from 0 to 20 dB.
Task offloading, which refers to processing (computation-intensive) data at facilitating servers, is an exemplary service that greatly benefits from the fog computing paradigm, which brings computation resources to the edge network for reduced application latency. However, the resource-consuming nature of task execution, as well as the sheer scale of IoT systems, raises an open and challenging question: whether fog is a remedy or a resource drain, considering frequent and massive offloading operations? This question is nontrivial, because participants of offloading processes, i.e., fog nodes, may have diversified technical specifications, while task generators, i.e., task nodes, may employ a variety of criteria to select offloading targets, resulting in an unmanageable space for performance evaluation. To overcome these challenges of heterogeneity, we propose a gravity model that characterizes offloading criteria with various gravity functions, in which individual/system resource consumption can be examined by the device/network effort metrics, respectively. Simulation results show that the proposed gravity model can flexibly describe different offloading schemes in terms of application and node-level behavior. We find that the expected lifetime and device effort of individual tasks decrease as
$O({}{1}/{N})$
over the network size
$N$
, while the network effort decreases much slower, even remain
$O(1)$
when load balancing measures are employed, indicating a possible resource drain in the edge network.
