Zhang H, Liu H, Cheng J, Leung VCM (2018) Downlink energy efficiency of power allocation and wireless backhaul bandwidth allocation in heterogeneous small cell networks. Teng Y, Liu M, Yu FR, Leung VCM, Song M, Zhang Y (2018) Resource allocation for ultra-dense networks: a survey, some research issues and challenges. Tombaz S, Monti P, Farias F, Fiorani M, Wosinska L, Zander J (2014) Is backhaul becoming a bottleneck for green wireless access networks? In: 2014 IEEE international conference of communications (ICC), June 2014, pp 4029–4035 Jaber M, Imran MA, Tafazolli R, Tukmanov A (2016) 5G backhaul challenges and emerging research directions: a survey. IEEE Access 6:4850–4874Īl-Rubaye S, Al-Dulaimi A, Cosmas J, Anpalagan A (2018) Call admission control for non-standalone 5G ultra-dense networks. IEEE J Sel Areas Commun 35(9):1936–1947įang D, Qian Y, Hu RQ (2018) Security for 5G mobile wireless networks. Zhang H, Huang S, Jiang C, Long K, Leung VCM, Poor HV (2017) Energy efficient user association and power allocation in millimeter-wave-based ultra dense networks with energy harvesting base stations. Onireti O, Imran A, Imran MA, Tafazolli R (2016) Energy efficient inter-frequency small cell discovery in heterogeneous networks. Pan Z, Zhu Q (2017) Energy efficiency optimization in 3-D small cell networks-based sleep strategy. Our theoretical analysis and simulated results demonstrate the accuracy of the proposed model with better power allocation and less complexity than conventional solutions. The JUDPA algorithm obtains the maximum EE in small cells by iteratively optimizing the uplink and downlink powers. Further, to obtain the optimal SBS density in UDN, I propose a joint uplink and downlink power allocation (JUDPA) algorithm. Then, based on the obtained successful transmission probabilities, I derive the closed form expression for EE of the small cells in both uplink and downlink under some practical constraints. Unlike the existing literature, I derive the simple closed-form expressions for the successful transmission probabilities of MUEs and small cells by Laplace transformation. In this considered system, the SBSs and the macro cell users (MUEs) are modeled as a homogeneous Poisson point process (PPP). Considering the necessity of saving energy in modern-day networks, in this paper, I present the EE evaluation of UDN based on the random spatial network model. With many irregularly deployed small cell base stations (SBSs), it is very difficult to accurately measure network energy efficiency (EE) in UDN. Can't figure out how to do it.Ultra-dense network (UDN) is a promising solution to meet the huge data requirements of future 5G wireless communication systems. Just curious if there is a manual way to configure the port connectivity so it shows that barn stuff behind Mesh AP House. In the port config of the 16 port switch, where it should say Mesh AP House, it thinks it's directly connected to the 8 port switch via a gig E uplink. It's mapping that 8 port switch directly to the 16 port switch. Here's what's happening as Unifi discovers the topology. So, to visualize this tobology end to end :: Gateway 16 port switch Mesh AP House Mesh AP Barn 8 port switch other barn AP, wifi devices connecting to an SSID here, etc. One of the Mesh APs at the barn, let's call it "Mesh-AP-Barn", is wifi meshed to Mesh-AP-House. I have 2 other Mesh APs down at a barn that are getting power via an 8port 60W unifi switch. A 16 port unifi switch in my house connects my gateway and some Unifi APs together, one those being a Mesh AP Pro. I have 2 small unifi POE switches in my setup. Curious if anyone knows how to change this.
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