Machine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions
Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be
a key enabler and a leading infrastructure provider in the information and communication …
a key enabler and a leading infrastructure provider in the information and communication …
A survey on deep learning for ultra-reliable and low-latency communications challenges on 6G wireless systems
The sixth generation (6G) wireless communication network presents itself as a promising
technique that can be utilized to provide a fully data-driven network evaluating and …
technique that can be utilized to provide a fully data-driven network evaluating and …
A network-assisted approach for RAT selection in heterogeneous cellular networks
When several radio access technologies (eg, HSPA, LTE, WiFi, and WiMAX) cover the same
region, deciding to which one mobiles connect is known as the Radio Access Technology …
region, deciding to which one mobiles connect is known as the Radio Access Technology …
A survey of handover management in LTE-based multi-tier femtocell networks: Requirements, challenges and solutions
Ubiquitous mobile communication requires increased capacity and appropriate quality
guarantee for services. To meet these demands next-generation mobile network operators …
guarantee for services. To meet these demands next-generation mobile network operators …
Cell range expansion using distributed Q-learning in heterogeneous networks
T Kudo, T Ohtsuki - Eurasip journal on wireless communications and …, 2013 - Springer
Cell range expansion (CRE) is a technique to expand a pico cell range virtually by adding a
bias value to the pico received power, instead of increasing transmit power of pico base …
bias value to the pico received power, instead of increasing transmit power of pico base …
Cell association with user behavior awareness in heterogeneous cellular networks
In heterogeneous cellular networks (HetNets) with macro base station (BS) and multiple
small BSs (SBSs), cell association of user equipment (UE) affects UE transmission rate and …
small BSs (SBSs), cell association of user equipment (UE) affects UE transmission rate and …
Approximation algorithms for cell association and scheduling in femtocell networks
Femtocells are recognized as effective for improving network coverage and capacity and for
reducing power consumption due to the reduced range of wireless transmissions. Although …
reducing power consumption due to the reduced range of wireless transmissions. Although …
Q-learning cell selection for femtocell networks: Single-and multi-user case
C Dhahri, T Ohtsuki - 2012 IEEE Global Communications …, 2012 - ieeexplore.ieee.org
In this paper, we focus on user-centered handover decision making in open-access non-
stationary femtocell networks. Traditionally, such handover mechanism is usually based on …
stationary femtocell networks. Traditionally, such handover mechanism is usually based on …
A hybrid approach for radio access technology selection in heterogeneous wireless networks
In heterogeneous wireless networks, different radio access technologies are integrated and
may be jointly managed. To optimize network performance and capacity, efficient common …
may be jointly managed. To optimize network performance and capacity, efficient common …
Cell association and handover management in femtocell networks
Although the technology of femtocells is highly promising, many challenging problems
should be addressed before fully harvesting its potential. In this paper, we investigate the …
should be addressed before fully harvesting its potential. In this paper, we investigate the …