Device association for RAN slicing based on hybrid federated deep reinforcement learning
Network slicing (NS) has been widely identified as a key architectural technology for 5G-and-
beyond systems by supporting divergent requirements in a sustainable way. In radio access …
beyond systems by supporting divergent requirements in a sustainable way. In radio access …
PERCEIVE: Deep learning-based cellular uplink prediction using real-time scheduling patterns
As video calls and personal broadcasting become popular, the demand for mobile live
streaming over cellular uplink channels is growing fast. However, current live streaming …
streaming over cellular uplink channels is growing fast. However, current live streaming …
A survey of scheduling and interference mitigation in LTE
Among the goals of 3GPP LTE networks are higher user bit rates, lower delays, increased
spectrum efficiency, support for diverse QoS requirements, reduced cost, and operational …
spectrum efficiency, support for diverse QoS requirements, reduced cost, and operational …
A deep-reinforcement-learning-based approach to dynamic eMBB/URLLC multiplexing in 5G NR
This article investigates the dynamic multiplexing of enhanced mobile broadband (eMBB)
and ultrareliable and low latency communications (URLLC) on the same channel in 5G NR …
and ultrareliable and low latency communications (URLLC) on the same channel in 5G NR …
An efficient downlink radio resource allocation with carrier aggregation in LTE-advanced networks
HS Liao, PY Chen, WT Chen - IEEE Transactions on Mobile …, 2014 - ieeexplore.ieee.org
In long term evolution-advanced (LTE-A) networks, the carrier aggregation technique is
incorporated for user equipments (UEs) to simultaneously aggregate multiple component …
incorporated for user equipments (UEs) to simultaneously aggregate multiple component …
QoS-aware downlink packet scheduling for LTE networks
WK Lai, CL Tang - Computer Networks, 2013 - Elsevier
Scheduling for flows has been studied before. However, applying the previous schemes
directly for LTE networks may not achieve good performance. To have good performance …
directly for LTE networks may not achieve good performance. To have good performance …
GPF: A GPU-based Design to Achieve~ 100 μs Scheduling for 5G NR
5G New Radio (NR) is designed to operate under a broad range of frequency bands and
support new applications with ultra-low latency. To support its diverse operating conditions …
support new applications with ultra-low latency. To support its diverse operating conditions …
[PDF][PDF] A review of downlink packet scheduling algorithms for real time traffic in LTE-advanced networks
S Radhakrishnan… - Indian Journal …, 2016 - sciresol.s3.us-east-2.amazonaws …
Objective: In recent times, the demand for high data rates is ever increasing in any wireless
network environment. Long Term Evolution-Advanced (LTE-A) is the latest 4G technology …
network environment. Long Term Evolution-Advanced (LTE-A) is the latest 4G technology …
mCore: Achieving sub-millisecond scheduling for 5G MU-MIMO systems
MU-MIMO technology enables a base station (BS) to transmit signals to multiple users
simultaneously on the same frequency band. It is a key technology for 5G NR to increase the …
simultaneously on the same frequency band. It is a key technology for 5G NR to increase the …
Frequency-domain packet scheduling for 3GPP LTE uplink
In this paper, we investigate the frequency-domain packet scheduling (FDPS) problem for
3GPP LTE Uplink (UL). Instead of studying a specific scheduling policy, we provide a unified …
3GPP LTE Uplink (UL). Instead of studying a specific scheduling policy, we provide a unified …