Topic
LTE Advanced
About: LTE Advanced is a research topic. Over the lifetime, 4055 publications have been published within this topic receiving 74262 citations. The topic is also known as: Long-Term Evolution Advanced & LTE-A.
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TL;DR: Simulation results demonstrate that substantial gain is obtained by the proposed schemes which take advantage of the statistical information of the highly dynamic channel.
19 citations
01 Oct 2013
TL;DR: The results show that eMBMS performance in the OpenAirInterface satisfies the requirement of 3GPP standard in terms of BLER, and the theoretical user throughput proposed by3GPP have been validated through experimentation.
Abstract: Evolved Multimedia Broadcast Multicast Service (eMBMS) is a point-to-multipoint content delivery solution designed for LTE/LTE-A. It distributes efficiently the broadcast and multicast service to a massive number of mobile devices located in a given geographical area. eMBMS can be used to boost the network's capability for providing high-quality multimedia service in high user-density area such a stadium during an entertainment or sport event. The aim of this paper is to validate and evaluate the performance of eMBMS following the 3GPP standard (release 10) implemented in the context of the OpenAirInterface SDR platforms. The difference between the OpenAirInterface in-lab system validation platform with respect to existing simulation/emulation tools such as OPNET, matlab, NS-2/3 is that firstly it is built with a high level of realism supporting real-time operation (based on RTAI and RT-Preempt); secondly it is part of the integration and validation chain for a real-time RF experimentation. The results show that eMBMS performance in the OpenAirInterface satisfies the requirement of 3GPP standard in terms of BLER. Furthermore, the theoretical user throughput proposed by 3GPP have been validated through experimentation.
19 citations
08 Dec 2014
TL;DR: Simulation results show that compared with traditional received signal strength (RSS) based handover algorithm, the proposed algorithm makes handover decision more accurate and reasonable and is successful in decreasing HOF rate and improving system throughput.
Abstract: In this paper, we propose a new adaptive pre-handover algorithm according to the characteristics of heterogeneous networks and users' demands for seamless connection. Firstly, the movement of user is predicted based on Gauss-Markov mobility model. Then, the handover triggering time is decided by the value of reference signal receiving quality (RSRQ) in the predicted position. Finally, a reasonable pre-handover decision based on users' movement speed and service type in using is made to reduce unnecessary handovers (UHO) and lower handover failure (HOF) rate. Simulation results show that compared with traditional received signal strength (RSS) based handover algorithm, the proposed algorithm makes handover decision more accurate and reasonable. It is successful in decreasing HOF rate and improving system throughput.
19 citations
12 Apr 2012
TL;DR: This paper devise and compare several hardware implementations of the confidentiality algorithm that is based on the ZUC stream cipher, and shows that 19% of power savings with 2% of area reduction can be achieved by using a cryptographic substitution box with one-hot encoding.
Abstract: In this paper we devise and compare several hardware implementations of the confidentiality algorithm that is based on the ZUC stream cipher. First we design and analyze a reference architecture, which reflects a basic implementation of the algorithm, with respect to power and area consumption in order to identify design's bottlenecks. Then different architectures for the most power demanding operations are explored to reduce the power consumption at the register transfer level. These architectures are evaluated at various timing constraints to account for data rates from LTE up to LTE-Advanced. The hardware analysis is done using Faraday's 90 nm standard cell library. Our results show that 19% of power savings with 2% of area reduction can be achieved by using a cryptographic substitution box with one-hot encoding. When combining this with parallel LFSR architectures, power savings can be raised up to 37%, but with an area overhead of 10%.
19 citations
01 Dec 2014
TL;DR: A novel framework and scheduling algorithm is proposed that uses heterogeneous network architecture (macro eNodeB and mini base stations) to reduce the collision rate and access delay of dense IoT devices by randomizing their access without affecting the Quality of Service (QoS) offered to UEs.
Abstract: Long Term Evolution-Advanced (LTE-A) is increasingly seen as a promising technology for serving Internet of Things (IoT) needs along with mobile user equipments (UEs), due to high data rate, low latency, priority services, etc. The major challenges of incorporating IoT devices into LTE-A are, a large number of IoT devices attempting to access the network in short time, their effect on existing UEs communication, and the need for extra bandwidth to accommodate them. In this paper, we propose a novel framework and scheduling algorithm that uses heterogeneous network architecture (macro eNodeB and mini base stations) to reduce the collision rate and access delay of dense IoT devices by randomizing their access without affecting the Quality of Service (QoS) offered to UEs. Furthermore, the proposed idea avoids the use of extra spectrum or barring mechanisms for IoT devices. Simulation results for a heterogeneous network within a single macro cell with 1 macro eNodeB and 4 mini base stations (mini cells) indicate that the proposed framework and scheduling reduces the collision rate for IoT devices by 80% and access delay by more than 50% during the LTE Random Access Channel (RACH) procedure, as well as improves the QoS to UEs as compared to the Access Barring scheme.
19 citations