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.

A Survey on Self-Interference Cancellation in Mobile LTE-A/5G FDD Transceivers

Abstract: This brief deals with self-interference (SI) effects in mobile communication radio frequency (RF) transceivers. The basics of current communication standards, namely Long-Term Evolution (LTE) and 5G, are outlined with a focus on carrier aggregation (CA). RF transceivers that support frequency-division duplex (FDD) and CA variants operate multiple receivers and transmitters simultaneously. We illustrate the resulting SI problems, present suitable models for different SI categories and discuss the associated interference estimation tasks. Moreover, we explain the basic architecture of two common countermeasures: digital and mixed-signal SI cancellation.

QoS and Flow Management for Future Multi-Hop Mobile Radio Networks

Abstract: Mobile radio networks of the IMT-Advanced systems family promise ubiquitous broadband access and high area coverage, with rates of several 100 MBit/s. They claim to guarantee QoS support in terms of low delay and guaranteed throughput. However, with the availability of flat rate plans and bandwidth-hungry applications of future mobile devices the systems are facing a hard challenge in satisfying all demands at the same time in a traffic load situation which can best be characterized as total overload or full buffer. In this situation the basic voice service must still be operational to full Erlang capacity, no matter what load the data traffic offers. In this paper the hierarchical static priority scheduling scheme is used to accomplish the required separation. Candidate technologies like LTE-Advanced, WiMAX are based on OFDMA access which allows flexible radio resource allocation, but has an inherent near-far heterogeneity which leads to unfairness if it is optimized for spectral efficiency. Multi-hop relaying is one way to diminish the near-far problem, which is why it is an important part of the system concepts. The scheduling scheme is designed with this multihop capability in mind and results show that in heterogeneous scenarios a proportional fair substrategy achieves the desired fairness. To achieve QoS distinction a flow management must be provided in OSI layer two, so that flows of different classes can be treated separately. This paper treats the flow management concept for multi-hop mobile radio systems, a key enabling technology for QoS aware resource scheduling. It features the cross-layer signaling of QoS requirements by the Application Layer to the Data Link Layer.

Harmonized Q-Learning for radio resource management in LTE based networks

Abstract: The efficient management of radio resource is highly imperative so as to meet the vast application requirements in future high speed wireless networks such as Long Term Evolution-Advanced (LTE-A) The current research on applying machine learning algorithms either focuses on packet scheduling in infrastructure network or in cognitive radio in ad-hoc environment Our study on spectrum usage indicates that there is a lot of room for optimization of spectrum in a multi-operator scenario of LTE systems which covers large customer over a vast geographical area In this paper, we introduce the concept of Harmonized Q-Learning (HQL) for the radio resource management in LTE based networks that efficiently manage its resource pool dynamically The multi-operator system is modeled on the game theory based Q-Learning Our system level simulation of the proposed algorithm shows higher throughput while meeting the real-time resource requirement of each player

Performance Evaluation in Heterogeneous Networks Employing Time-Domain Inter-Cell Interference Coordination and Cell Range Expansion for LTE-Advanced Downlink

Abstract: In Long-Term Evolution (LTE)-Advanced, heterogeneous networks where femtocells and picocells are overlaid onto macrocells are extensively discussed in addition to traditional well-planned macrocell deployment to improve further the system throughput. In heterogeneous network deployment, combined usage of inter-cell interference coordination (ICIC) and cell range expansion (CRE) is very effective in improving the system and cell-edge throughput. In this combined usage, the fraction of the sets of user equipment (UEs) connected to the picocells, which are controlled through CRE, and that connected to macrocells affect the gain from the ICIC. Therefore, this paper evaluates the throughput performance of different offset values for CRE and different amounts of protected resources for ICIC in picocell deployments in LTE-Advanced downlink. Simulation results (2-10 picocells and 30 UEs are located within 1 macrocell) assuming a full buffer traffic model show that when the CRE offset value is set between 8 to 20dB, almost the same user throughput performance is obtained by allocating the appropriate resources to protect UEs that connect to the picocells. Furthermore, the appropriate resource ratio is derived based on the fraction of UEs connected to the picocells through CRE, the fraction of UEs connected to the macrocell, and the number of picocells under the simulation conditions.