1. [PDF] Link Adaptation Improvements for Long Term Evolution (LTE)
This thesis tries to improve the system performance for LTE downlink and uplink by using differentiated link adaptation based on packet error occurrences of ...
2. [PDF] Application-oriented Link Adaptation for IEEE 802.11 - IIS Windows Server!
In this thesis we use a combination of an existing stable algorithm (suited for download applications) and a rapid link quality feedback to produce a novel rate.
3. [PDF] Machine Learning Technique for Uplink Link Adaptation in 5G NR ...
This thesis is investigating on the possibility of improving UL Link Adaptation using ML technique on mmWave frequency environment. After studying previous ...
4. [PDF] Reinforcement Learning for Efficient and Tuning-Free Link Adaptation
Wireless links adapt the data transmission parameters to the dynamic channel state – this is called link adaptation. Classical link adaptation relies on ...
5. DRLLA: Deep Reinforcement Learning for Link Adaptation - MDPI
23 nov 2022 · Link adaptation (LA) matches transmission parameters to conditions on the radio link, and therefore plays a major role in telecommunications.
Link adaptation (LA) matches transmission parameters to conditions on the radio link, and therefore plays a major role in telecommunications. Improving LA is within the requirements for next-generation mobile telecommunication systems, and by refining link adaptation, a higher channel efficiency can be achieved (i.e., an increased data rate thanks to lower required bandwidth). Furthermore, by replacing traditional LA algorithms, radio transmission systems can better adapt themselves to a dynamic environment. There are several drawbacks to current state-of-the-art approaches, including predefined and static decision boundaries or relying on a single, low-dimensional metric. Nowadays, a broadly used approach to handle a variety of related input variables is a neural network (NN). NNs are able to make use of multiple inputs, and when combined with reinforcement learning (RL), the so-called deep reinforcement learning (DRL) approach emerges. Using DRL, more complex parameter relationships can be considered in order to recommend the modulation and coding scheme (MCS) used in LA. Hence, this work examines the potential of DRL and includes experiments on different channels. The main contribution of this work lies in using DRL algorithms for LA, optimized for throughput based on a subcarrier observation matrix and a packet success rate feedback system. We apply Natural Actor-Critic (NAC) and Proximal Policy Optimization (PPO) algorithms on simulated channels with a subsequent feasibi...
6. Kiss point adaptation method-EP2325512A2 | PatentGuru
Die Erfindung betrifft ein Verfahren zum Einstellen des Einrückpunktes einer Reibkupplung (16, 18) eines Stufengetriebes (10) für ...
7. Statistical approach to channel state reporting for URLLC - IEEE Xplore
In response to such stringent demand on the link adaptation algorithm, improved algorithms for predicting or estimating downlink channel conditions are desired.
For 5G New Radio services with the requirement of high reliability and low latency, the HARQ loop can only afford one or a couple of retransmissions within the latency bound, or none at all, depending on the system configuration. In response to such stringent demand on the link adaptation algorithm, improved algorithms for predicting or estimating downlink channel conditions are desired. This paper describes the problem and proposes a solution where channel state statistics are reported by user equipment to aid the base station for more accurate downlink scheduling. Simulation results are provided to demonstrate the benefit of the new approach.
8. Self-Evolving Wireless Communications: A Novel ... - arXiv
7 apr 2024 · Over a couple of decades, there have been many self-evolving related ... Walsh, “Resource allocation and link adaptation in LTE and LTE ...
Liangxin Qian, , Ping Yang, , Jun Zhao, , Ze Chen, Wanbin Tang L. Qian and J. Zhao are with the School of Computer Science and Engineering at Nanyang Technological University (NTU), Singapore. (e-mail: qian0080@e.ntu.edu.sg, junzhao@ntu.edu.sg). P. Yang, Z. Chen, and W. Tang are with the National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, 611731, Sichuan, China. (e-mail: yang.ping@uestc.edu.cn, 202222220229@std.uestc.edu.cn, wbtang@uestc.edu.cn).
9. Hybrid link adaptation for inter-carrier interference adjustment in ...
6 nov 2012 · The performance of the proposed hybrid link adaptation ... Massive MIMO uplink and downlink joint representation based on couple dictionary ...
In the uplink of orthogonal frequency division multiple access (OFDMA) systems, rate adaptation may not be exploitable mainly because of severe inter-carrier interference (ICI). In this study, the authors propose a novel hybrid link adaptation that simultaneously uses power adaptation for ICI adjustment and rate adaptation for capacity improvement in the uplink of OFDMA systems. The proposed hybrid link adaptation determines a maximum allowable transmission power according to the channel gain and velocity of each user, enabling all users to have a guaranteed loss of carrier to interference ratio (CIR). Moreover, the proposed hybrid link adaptation adjusts the transmission rate according to CIR of each user, while keeping the maximum allowable transmission power unchanged. The performance of the proposed hybrid link adaptation is analysed in OFDMA cellular uplink systems. Finally, the analytic results are verified by computer simulation.
10. Signaling techniques for a multimedia-aware radio and ...
18 mrt 2014 · The signaling mechanism and inclusion of application-layer parameters into the QoS class definitions is to enable the QoE-aware link adaptation, ...
- An approach to enhance quality of experience (QoE) in a wireless multimedia communication system is disclosed. A signaling mechanism is provided to make application-layer parameters
