Learning Resource Scheduling with High Priority Users using Deep Deterministic Policy Gradients | 0 | 0.34 | 2022 |
Deep Reinforcement Model Selection for Communications Resource Allocation in On-Site Medical Care | 0 | 0.34 | 2022 |
CMDNet: Learning a Probabilistic Relaxation of Discrete Variables for Soft Detection With Low Complexity | 1 | 0.36 | 2021 |
Concrete MAP Detection: A Machine Learning Inspired Relaxation | 0 | 0.34 | 2020 |
Cloud-RAN Fronthaul Rate Reduction via IBM-based Quantization for Multicarrier Systems | 0 | 0.34 | 2020 |
Burst error analysis of scheduling algorithms for 5G NR URLLC periodic deterministic communication. | 0 | 0.34 | 2020 |
Compressed Edge Spectrum Sensing: Extensions and practical considerations. | 0 | 0.34 | 2019 |
Modeling the Active Neuron Separation in the Compressed Sensing and Finite Rate of Innovation Framework. | 0 | 0.34 | 2019 |
Towards Massive Connectivity Support for Scalable mMTC Communications in 5G networks. | 6 | 0.41 | 2018 |
FPGA-based Baseband Solution for High Performance Industrial Wireless Communication. | 1 | 0.41 | 2018 |
Compressed Edge Spectrum Sensing for Wideband Cognitive Radios | 0 | 0.34 | 2018 |
SparkDict: A fast dictionary learning algorithm. | 0 | 0.34 | 2017 |
Numerical Analysis For Joint Phy And Mac Perspective Of Compressive Sensing Multi-User Detection With Coded Random Access | 0 | 0.34 | 2017 |
Massive machine-type communications in 5g: physical and MAC-layer solutions. | 89 | 2.31 | 2016 |
Minimum measurement deterministic compressed sensing based on complex reed solomon decoding. | 0 | 0.34 | 2016 |
Rscs: Minimum Measurement Mmv Deterministic Compressed Sensing Based On Complex Reed Solomon Coding | 0 | 0.34 | 2015 |
Spectrum sharing for MTC devices in LTE | 2 | 0.50 | 2015 |
Hardware-In-the-Loop Measurements of the Multi-Carrier Compressed Sensing Multi-User Detection (MCSM) System. | 0 | 0.34 | 2015 |
Efficient Detector for Joint Compressed Sensing Detection and Channel Decoding | 12 | 0.58 | 2015 |
Compressive Sensing Multi-User Detection for Multicarrier Systems in Sporadic Machine Type Communication | 15 | 0.74 | 2015 |
Iterative Soft Interference Cancellation for Sparse BPSK Signals | 4 | 0.43 | 2015 |
Compressive sensing for MTC in new LTE uplink multi-user random access channel | 5 | 0.45 | 2015 |
A potential solution for MTC: Multi-Carrier Compressed Sensing Multi-User Detection | 1 | 0.35 | 2015 |
IRA Code Design for Iterative Detection and Decoding: A Setpoint-Based Approach | 0 | 0.34 | 2014 |
Reliable activity detection for massive machine to machine communication via multiple measurement vector compressed sensing | 2 | 0.40 | 2014 |
Characterization of coded random access with compressive sensing based multi-user detection | 7 | 0.59 | 2014 |
Compressed Sensing soft activity processing for sparse multi-user systems | 2 | 0.50 | 2013 |
Compressed Sensing Bayes Risk Minimization for Under-Determined Systems via Sphere Detection | 4 | 0.46 | 2013 |
Compressed sensing Bayes-risk detection for frame based multi-user systems. | 0 | 0.34 | 2013 |
Coping with CDMA Asynchronicity in Compressive Sensing Multi-User Detection | 15 | 2.18 | 2013 |
On the Impact of Low-Rank Interference on the Post-Equalizer SINR in LTE. | 1 | 0.37 | 2013 |
IRA code design for IDMA-based multi-pair bidirectional relaying systems | 2 | 0.42 | 2013 |
Sparsity-Aware Successive Interference Cancellation with Practical Constraints | 3 | 0.57 | 2013 |
Compressive sensing based multi-user detection for machine-to-machine communication. | 54 | 2.53 | 2013 |
Improving Greedy Compressive Sensing Based Multi-User Detection with Iterative Feedback | 8 | 0.61 | 2013 |
Exploiting Sparsity in Channel and Data Estimation for Sporadic Multi-User Communication. | 24 | 1.08 | 2013 |
Joint activity and data detection for machine to machine communication via Bayes Risk optimization | 1 | 0.37 | 2013 |
OFDM-IDM Space-Time Coding in two-hop relay-systems with error-prone relays. | 3 | 0.45 | 2012 |
Efficient Coded Bit and Power Loading for BICM-OFDM | 3 | 0.46 | 2009 |
Adaptive BICM-OFDM Systems | 0 | 0.34 | 2009 |
A Closed Power Allocation Solution For Outage Restricted Distributed Mimo Multi-Hop Networks | 9 | 0.81 | 2008 |
A Novel Resource Allocation Strategy For Distributed Mimo Multi-Hop Multi-Commodity Communications | 2 | 0.44 | 2008 |
Mutual Information Based Rate Adaptation For Mimo-Ofdm Systems With Finite Signal Alphabets | 3 | 0.45 | 2008 |