The Experts below are selected from a list of 27 Experts worldwide ranked by ideXlab platform

Josef A. Nossek - One of the best experts on this subject based on the ideXlab platform.

  • VTC Spring - A Leaner Carrier for the New 5G Air Interface
    2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 2015
    Co-Authors: Kilian Roth, Cecilia Carbonelli, Michael Faerber, Josef A. Nossek
    Abstract:

    This paper studies the physical layer performance of a lean carrier with reduced reference symbols and reduced control channel overhead as a possible candidate for a new 5G air interface. Specifically, we will show that, with minor modifications and optimizations, competitive link level performance can be achieved even in extreme use case scenarios using synchronization and channel estimation algorithms already employed in LTE-A. Further, we propose a set of enhancements to the broadcast channel and to the Common Search Space configurations to fully dispense with cell specific reference symbols and legacy control channels.

Wu Yun-mei - One of the best experts on this subject based on the ideXlab platform.

  • ReSearch on LTE PDCCH Blind Detect Process
    Video Engineering, 2010
    Co-Authors: Wu Yun-mei
    Abstract:

    PDCCH plays a crucial role in the scheduling of LTE system,a variety of resources for the uplink and downlink transmission are assigned.Based on the processes of PDCCH sending and receiving,and according to the structure of PDCCH,a detailed analysis of PDCCH scheduling process is made,Search Space and Common Search Space are dedicated,and a detailed blind detect method for the receiver of PDCCH is developed at the terminal side,a theoretical basis for the practical realization of LTE system is provided.

Chuan Zhou - One of the best experts on this subject based on the ideXlab platform.

  • One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting
    IEEE transactions on pattern analysis and machine intelligence, 2020
    Co-Authors: Miao Zhang, Shirui Pan, Xiaojun Chang, Chuan Zhou
    Abstract:

    One-shot neural architecture Search (NAS) has recently become mainstream in the NAS community because it significantly improves computational efficiency through weight sharing. However, the supernet training paradigm in one-shot NAS introduces catastrophic forgetting. To overcome this problem of catastrophic forgetting, we formulate supernet training for one-shot NAS as a constrained continual learning optimization problem such that learning the current architecture does not degrade the validation accuracy of previous architectures. The key to solving this constrained optimization problem is a novelty Search based architecture selection (NSAS) loss function that regularizes the supernet training by using a greedy novelty Search method to find the most representative subset. We applied the NSAS loss function to two one-shot NAS baselines and extensively tested them on both a Common Search Space and a NAS benchmark dataset. We further derive three variants based on the NSAS loss function, the NSAS with depth constrain (NSAS-C) to improve the transferability, and NSAS-G and NSAS-LG to handle the situation with a limited number of constraints. The experiments on the Common NAS Search Space demonstrate that NSAS and it variants improve the predictive ability of supernet training in one-shot NAS baselines.

Kilian Roth - One of the best experts on this subject based on the ideXlab platform.

  • VTC Spring - A Leaner Carrier for the New 5G Air Interface
    2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 2015
    Co-Authors: Kilian Roth, Cecilia Carbonelli, Michael Faerber, Josef A. Nossek
    Abstract:

    This paper studies the physical layer performance of a lean carrier with reduced reference symbols and reduced control channel overhead as a possible candidate for a new 5G air interface. Specifically, we will show that, with minor modifications and optimizations, competitive link level performance can be achieved even in extreme use case scenarios using synchronization and channel estimation algorithms already employed in LTE-A. Further, we propose a set of enhancements to the broadcast channel and to the Common Search Space configurations to fully dispense with cell specific reference symbols and legacy control channels.

Anpeng Huang - One of the best experts on this subject based on the ideXlab platform.

  • ICC - A solution to relieve ICI effects on system control information in OFDM-based mobile networks: Conflict coordination on PDCCH via PCI planning
    2013 IEEE International Conference on Communications (ICC), 2013
    Co-Authors: Hemin Yang, Anpeng Huang
    Abstract:

    In OFDM-based mobile networks, the full-cell coverage of SCI (System-level Control Information) must be guaranteed for a user that can communicate with its eNB (evolved Node Base station) system. The requirement of SCI coverage causes severe ICI (Inter-Cell Interference) effect. Furthermore, the negative effect is intensified owing to single-frequency networking and physical control region configuration in OFDM-based networks. To enhance the reliability of SCI under the coverage constraint, we investigated how SCI is carried in the Physical Downlink Control Channel (PDCCH) in the Common Search Space, and proposed a solution of Conflict Coordination on PDCCH via PCI (Physical Cell Identifier) Planning (CCP3). In our proposal, PCI planning is used to relieve the ICI effect of the SCI. Thus, a heuristic algorithm is developed for the PCI planning since it is an NP-Complete optimization problem. The link-level simulation experiments and numerical analysis results demonstrate that the proposed CCP3 can improve effective SINR (Signal to Interference plus Noise Ratio) of PDCCH significantly, and reduce RE (Resource Element)-occupation conflict probability of PDCCH around 50%. To the best of our knowledge, this study is the first effort to strengthen the SCI reliability from the view of networking optimization.