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.

Physical downlink control channel configuration for extended bandwidth systems

Abstract: The method includes forming a resource allocation for a particular system bandwidth, where the resource allocation has a larger number of resource blocks than a maximum number of resource blocks associated with the particular system bandwidth. The step of forming includes the use of an extended parameter in a derivation of the resource allocation. The method further includes transmitting information descriptive of the resource allocation to user equipment. The resource allocation may be a downlink resource allocation or an uplink resource allocation. The user equipment is enabled to employ a plurality of extended control channel elements as at least one of an extended physical downlink control channel and a physical hybrid automatic repeat request indicator channel. Modification of the PDCCH structure for LTE advanced in order to enable backward compatibility with Release 8 LTE and a greater choice of bandwidth. Carrier Aggregation concept.

Proportional-Fair Resource Allocation for Coordinated Multi-Point Transmission in LTE-Advanced

Abstract: Coordinated multi-point (CoMP) transmission and reception are introduced as a promising technology in the 3GPP LTE-advanced standard, to manage interference, improve the overall system performance, and enhance system reliability. In this paper, a resource allocation problem is studied for downlink CoMP coordinated beamforming systems, where each base station (BS) serves its own mobile stations. Multiple-input-multiple-output (MIMO) transmit precoding and resource allocation are linked to the underlying proportional-fair scheduling to ensure a good trade-off between cell-average and cell-edge user spectral-efficiency. Due to the coupled interference among mobile stations, the resulting proportional-fair resource allocation optimization problem becomes nonconvex. To solve for optimal operating point for MIMO CoMP network, a parallel successive convex approximation-based algorithm is introduced. The introduced scheme enables all BSs to update their optimization variables in parallel by solving a sequence of strongly convex subproblems. Closed-form expressions of the locally optimal solution in both the high and low signal-to-noise regimes are characterized. The performance of the introduced scheme is also investigated through simulations. Numerical results show the efficiency of the introduced algorithm.

User Perception Aware Telecom Data Mining and Network Management for LTE/LTE-Advanced Networks

Abstract: User perception is the key for telecom operators. In order to keep good user perception, telecom operators employ network optimization and construction. In this paper, a novel user perception aware network management (UPNM) algorithm is designed for LTE/LTE-Advanced cellular networks. Initially, UPNM algorithm integrates a series of telecom data, which relates to users and cellular networks. On the basis of data, user perception is analyzed to find the cells with low quality of service (QoS). Then, UPNM algorithm analyzes the network interference and coverage and takes methods to deal with the interference and coverage problem. Finally, both the cell total service and capacity are analyzed, in order to manage the network capacity. We implement the proposed UPNM algorithm to the realistic cellular systems in a Chinese city. The UPNM algorithm can help telecom operators manage the mobile cellular networks.

Multicast Resource Allocation Enhanced by Channel State Feedbacks for Multiple Scalable Video Coding Streams in LTE Networks

Abstract: The growing demand for mobile multicast services, such as Internet Protocol television (IPTV) and video streaming, requires effective radio resource management (RRM) to handle traffic with strict quality-of-service constraints over Long-Term Evolution (LTE) and beyond systems Special care is needed to limit system performance degradation when multiple multicast streams are simultaneously transmitted To this aim, this paper proposes an RRM policy based on a subgrouping technique for the delivery of scalable multicast video flows in a cell Our proposal enhances the legacy multicast transmission over LTE systems by exploiting multiuser diversity and the users' channel quality feedbacks Moreover, it is designed to take advantage of the frequency selectivity in the subgroup formation Simulation results demonstrate the effectiveness of the proposed scheme, which outperforms existing approaches from the literature It succeeds in achieving higher spectral efficiency and guaranteeing adequate video quality to all multicast receivers and improved quality to those with good channel conditions

Study on performance-centric offload strategies for LTE networks

Abstract: Currently, cellular networks are overloaded with mobile data traffic due to the rapid growth of mobile broadband subscriptions and the increasing popularity of applications for smartphones. One possible solution to alleviate this problem is the offloading of mobile data traffic from the primary access technology to the WiFi infrastructure to gain extra capacity and improve the overall network performance. As the strategy what and when to offload data is non-trivial, it is of vital importance to develop novel algorithms to guide this process. This paper addresses solutions for WiFi offloading in Long Term Evolution (LTE) cellular networks when performance needs exceed the capability of the LTE access. It then compares the performance of each access technology using different network performance metrics. In detail, an optimized Signal-to-noise ratio (SNR)-threshold based handover solution and extension to the 3rd Generation Partnership Project (3GPP) standard for Access Network Discovery and Selection Function (ANDSF) framework for WiFi offloading is proposed. Our simulation results have shown that ANDSF discovery can be used to control the amount of offloading.