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.
Papers published on a yearly basis
Papers
More filters
••
17 Jun 2014TL;DR: A new packet scheduling algorithm for LTE-A downlink transmission is proposed that adds a new functionality of an adaptive Time Domain (TD) scheduler to adaptively allocate available resources to GBR (Guaranteed Bit Rate) and NGBR (Non GBR) traffic.
Abstract: For a better exploitation of radio resources in the fourth generation networks (4G) Long Term Evolution-Advanced (LTE-A) and for a better guarantee of service quality requested for users, radio resources management and specifically scheduling, play a key role in reaching the objective. In this paper, we propose a new packet scheduling (PS) algorithm for LTE-A downlink transmission that adds a new functionality of an adaptive Time Domain (TD) scheduler to adaptively allocate available resources to GBR (Guaranteed Bit Rate) and NGBR (Non GBR) traffic. Evaluation of our algorithm and comparison with previous works are also presented. The simulation results have demonstrated the effectiveness of our algorithm in terms of the system throughput as well as the delay and the Packet Drop Rate (PDR) for both GBR and NGBR traffic.
14 citations
••
02 Nov 2015TL;DR: A new Handover algorithm based on CoMP joint transmission scheme in order to minimize the Inter Cell Interference (ICI) and enhance the average throughput per user during Handover is proposed.
Abstract: Inter cell interference is one of the most serious problems in LTE-Advanced networks and beyond (5G). This issue is the direct result of two major features: the frequency reuse factor equal to one and the heterogeneous deployment of networks (HetNets). Many solutions have been proposed by the 3GPP project since its early Release 8 in order to mitigate interference. The most recent one is Coordinated Multi Point (CoMP) which implies that a set of transmit points provide coordinated transmission in the downlink. However, this is not possible during Handover scenarios since LTE-Advanced networks and beyond implement hard handover which requires a single connection for each user at any time. In this paper, we propose a new Handover algorithm based on CoMP joint transmission scheme in order to minimize the Inter Cell Interference (ICI). Performance evaluation results show that our proposed algorithm considerably reduces the ICI level and enhances the average throughput per user during Handover.
14 citations
••
29 Nov 2012TL;DR: This work proposes a general framework for dynamic MU-MIMO scheduling with the capability to switch between Single-User MIMO mode and (Multi-Rank) Multi- User MIMo mode without users feeding back additional multi-user information.
Abstract: Multi-User MIMO (MU-MIMO) systems have gained numerous attention from researchers in the past decade due to its substantial gains in the system throughput. Most of the initial research assumes the knowledge of perfect channel state information at the transmitter (CSIT). However, this is considered impractical and research over the past few years has been focused on receivers feeding back limited information to the transmitter. In this work, we consider a transparent MU-MIMO system model with limited feedback. We propose a general framework for dynamic MU-MIMO scheduling with the capability to switch between Single-User MIMO mode and (Multi-Rank) Multi-User MIMO mode without users feeding back additional multi-user information. Specifically, this is done by each user carefully estimating its CQI under the hypothesis of Multi-Rank MultiUser MIMO transmission and taking advantage of the codebook structure. We consider the sum rate of the system assuming each user uses ML and LMMSE receiver and show that our proposed scheduler, with significantly reduced feedback load, outperforms the best-companion user pairing.
14 citations
••
15 May 2017TL;DR: An adaptive coexistence scheme between LTE and WiFi is proposed by utilizing almost blank subframes (ABS) over the frame to provide certain quality of service (QoS) guarantees for WiFi traffic while ensuring the performance of its own users.
Abstract: Since LTE in unlicensed spectrum (LTE-U) was proposed by Qualcomm, it has drawn considerable interest because of its potential to increase the capacity of existing LTE networks by utilizing existing infrastructure in the unlicensed band. But, Wi-Fi technology, already operating in the unlicensed 5 GHz band, creates several potential challenges for managing the activities of these two different technologies in the same band. In this context, we propose an adaptive coexistence scheme between LTE and WiFi by utilizing almost blank subframes (ABS). An ABS is an LTE subframe of duration 1 ms (containing two time slots of 0.5 ms duration) with reduced downlink activity. LTE allocates ABSs over 20 MHz channels in 5 GHz band to allow WiFi to access the spectrum. In the proposed coexistence scheme, each LTE cell optimally distributes ABSs over the frame to provide certain quality of service (QoS) guarantees for WiFi traffic while ensuring the performance of its own users.
14 citations
••
01 Jan 2013TL;DR: Four effective eNB selection algorithms to estimate the access intensity of an eNB are proposed and results show that the proposed algorithms perform better than conventional approach.
Abstract: Supporting a large number of devices in LTE Machine-to-Machine (M2M) communications is a big challenge. The large number of devices will try to access radio resource in a short period of time which may result in severe congestion to the Radio Access Network (RAN). Hence, how to scatter the devices, which are always trying to access to a same eNBs (evolved Node B), to other eNBs has become an important issue. In other words, balancing the random access intensity among eNBs will reduce the congestion of an RAN and improve the network utilization. Nevertheless, how to select an eNB to attach to during the initial access in a way that will balance overall access intensity in the network is a key challenge. Unfortunately, from the perspective of eNB, an eNB is unaware of how many devices will access to the eNB. Thus, an eNB cannot release the information about the access intensity in advance. In this paper, therefore, we propose four effective eNB selection algorithms to estimate the access intensity of an eNB. Simulation results show that the proposed algorithms perform better than conventional approach.
14 citations