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.

Resource Allocation Strategies for Network-Coded Video Broadcasting Services Over LTE-Advanced

Abstract: Video service delivery over 3GPP Long Term Evolution-Advanced (LTE-A) networks is gaining momentum with the adoption of the evolved Multimedia Broadcast Multicast Service (eMBMS). In this paper, we address the challenge of optimizing the radio resource allocation process so that heterogeneous groups of users, according to their propagation conditions, can receive layered video streams at predefined and progressively decreasing service levels matched to respective user groups. A key aspect of the proposed system model is that video streams are delivered as eMBMS flows that utilize the random linear network coding (NC) principle. Furthermore, the transmission rate and NC scheme of each eMBMS flow are jointly optimized. The simulation results show that the proposed strategy can exploit user heterogeneity to optimize the allocated radio resources while achieving desired service levels for different user groups.

A 2.15GBit/s turbo code decoder for LTE advanced base station applications

Abstract: The LTE standard [1], will soon be upgraded to LTE advanced, which will add new techniques like multi user MIMO using iterative demodulation, cooperative multi point reception (CoMP) and beam forming to increase the system throughput in the uplink of one cell An eNodeB supporting multiple cells will require a throughput of multiple GBit/s Thus a turbo code decoder with a very high throughput target while maintaining an excellent communications performance is required The major challenge is the support of very high code rates and the stringent latency requirements We present the first LTE advanced compliant LTE turbo code decoder with a throughput of 215GBit/s at frequency of 450MHz and area of 77mm2 in a 65nm process node with worst case P&R constraints The decoder can perform 6 full iterations at a large window size of 192 at full throughput, which results in a highly competitive communications performance

Auto Tuning Self-Optimization Algorithm for Mobility Management in LTE-A and 5G HetNets

Abstract: Ultra-dense networks represent the trend for future wireless 5G networks, which can provide high transmission rates in dense urban environments. However, a massive number of small cells are required to be deployed in such networks, and this requirement increases interference and number of handovers (HOs) in heterogeneous networks (HetNets). In such scenario, mobility management becomes an important issue to guarantee seamless communication while the user moves among cells. In this paper, we propose an auto-tuning optimization (ATO) algorithm that utilizes user speed and received signal reference power to adapt HO margin and time to trigger. The proposed algorithm aims to reduce the number of frequent HOs and HO failure (HOF) ratio. The performance of the proposed algorithm is evaluated through simulation with a two-tier model that consists of 4G and 5G networks. Simulation results show that the average rates of ping-pong HOs and HOF are significantly reduced by the proposed algorithm compared with other algorithms from the literature. In addition, the ATO algorithm achieves a low call drop rate and reduces HO delay and interruption time during user mobility in HetNets.

A Fractional Soft Handover Scheme for 3GPP LTE-Advanced System

Abstract: Mobility enhancement and carrier aggregation are important aspects to investigate as part of the LTE-Advanced study. Hard handover is the only handover scheme in LTE Rel-8. Generally, hard handover is fairly simple, but its outage probability is high and the handover procedure may be unreliable, especially for VoIP service. In this paper, we propose a fractional soft handover scheme based on the carrier aggregation. The main idea is to partially perform soft handover for VoIP, but non-VoIP service is only transmitted from source eNodeB or target eNodeB. The theoretical analysis and simulation results show that the proposed fractional soft handover scheme not only attains the lowest handover outage probability, but also improve the reliability of VoIP service.

Macro-assisted data-only carrier for 5G green cellular systems

Abstract: As the commercial operation of 4G systems is speeding up worldwide to meet the increasingly explosive growth of mobile Internet in the 2020 era, a great many R&D efforts targeting the next generation wireless systems (5G) have been launched. With densely deployed small cells in a heterogeneous network, the excessive signaling overhead of conventional carrier design greatly degrades system performance. A new carrier designed for small cells in the next generation system will be highly beneficial toward a green communication network. In this article, we propose a macro-assisted data-only carrier for future 5G networks from a green prospective. With the help of macro base stations, control channel overhead, and cell-specific reference signals for small cells can be minimized to achieve a pure-data carrier. Under this architecture, key procedures are designed including small cell identification and access, synchronization, hand over, and small cell sleeping. Furthermore, to evaluate the potential of our proposed scheme, a complete system and link-level simulation platform according to the current 3GPP LTE standard is built. The simulation results show that our proposed systems, achieving significant performance enhancement of signaling overhead, can lead to more than 17 percent throughput improvement and 90 percent energy efficiency gain over the current LTE HetNet with on-off strategy implemented. The proposed scheme appears to be highly attractive as part of the future 5G green mobile networks.