EnodeB

Abstract: When incorporating machine-to-machine (M2M) communications into the Third-Generation Partnership Project (3GPP) Long-Term Evolution (LTE) networks, one of the challenges is the traffic overload since many machine-type communication (MTC) devices activated in a short period of time may require access to an evolved node B (eNodeB) simultaneously. One approach to tackle this problem is by using an access class barring (ACB) mechanism with an ACB factor to defer some activated MTC devices transmitting their access requests. In this paper, we first present an analytical model to determine the expected total service time, i.e., the time used by all MTC devices to successfully access the eNodeB. In the ideal case that the eNodeB is aware of the number of backlogged MTC devices, we determine the optimal value of the ACB factor to reduce traffic overload. To better utilize the random access resources shared among human users and MTC devices in LTE networks, we propose to dynamically allocate a number of random access preambles for MTC devices. We further propose two dynamic ACB (D-ACB) algorithms for fixed and dynamic preamble allocation schemes to determine the ACB factors without a priori knowledge of the system backlog. Simulation results show that the proposed D-ACB algorithms achieve almost the same performance as the optimal performance obtained in the ideal case. The proposed D-ACB for dynamic preamble allocation algorithm can reduce both the total time to serve all MTC devices and the average number of random access opportunities required by each MTC device.

Abstract: A method includes configuring one or multiple pools of Device-to-Device (D2D) communication resources by an eNodeB (eNB). The method also includes signaling of the configured pool(s) of D2D communication resources by the eNB to a first User Equipment (UE) and a plurality of UEs using a common broadcast channel; and sending a request for one or multiple D2D communication resources to an eNB by the first UE configured to transmit D2D messages. The method also includes determining one or multiple resources for D2D communication by an eNB for the first UE. The method also includes communicating D2D resource allocation information to the first UE.

Abstract: In this paper, we present a 5G trace dataset collected from a major Irish mobile operator. The dataset is generated from two mobility patterns (static and car), and across two application patterns (video streaming and file download). The dataset is composed of client-side cellular key performance indicators (KPIs) comprised of channel-related metrics, context-related metrics, cell-related metrics and throughput information. These metrics are generated from a well-known non-rooted Android network monitoring application, G-NetTrack Pro. To the best of our knowledge, this is the first publicly available dataset that contains throughput, channel and context information for 5G networks. To supplement our real-time 5G production network dataset, we also provide a 5G large scale multi-cell ns-3 simulation framework. The availability of the 5G/mmwave module for the ns-3 mmwave network simulator provides an opportunity to improve our understanding of the dynamic reasoning for adaptive clients in 5G multi-cell wireless scenarios. The purpose of our framework is to provide additional information (such as competing metrics for users connected to the same cell), thus providing otherwise unavailable information about the base station (eNodeB or eNB) environment and scheduling principle, to end user. Our framework permits other researchers to investigate this interaction through the generation of their own synthetic datasets.

Abstract: Techniques for performing forward handover in a wireless communication system are disclosed. In one aspect, a user equipment (UE) transmits a connection request to a target eNodeB. The connection request may be transmitted when the UE detects a connection failure in a communication with a source eNodeB. The UE receives a connection response from the target eNodeB in response to the target eNodeB requesting handover preparation information from the source eNodeB. In another aspect, a target eNodeB may receive a connection request from a user equipment (UE) and transmit a radio link failure (RLF) recovery request message to a source eNodeB to prompt the source eNodeB to initiate handover of the UE from the source eNodeB.