16 research outputs found
Service oriented cloud CPE as a means of a future terminal
The current CPE deployment model, which is based on deploying “intelligent” independent equipment in the customer premises, has important challenges that have been limiting the profitability of services for telecommunications service providers. Cloud CPE model provides a win for cost and service performance for the future, as it reduces onsite CPE complex requirements to a minimum and moves these features into the cloud, under service provider control. The financial analysis proves that the cCPE is a viable solution for the operators and also it is proved that can bring costs down for the operator but also for the end user and can be a viable solution for the 5G ecosystem
Energy-efficient user association mechanism enabling fully hybrid spectrum sharing among multiple 5G cellular operators
Spectrum sharing (SS) is a promising solution to enhance spectrum utilization in future cellular systems. Reducing the energy consumption in cellular networks has recently earned tremendous attention from diverse stakeholders (i.e., vendors, mobile network operators (MNOs), and government) to decrease the CO2 emissions and thus introducing an environment-friendly wireless communication. Therefore, in this paper, joint energy-efficient user association (UA) mechanism and fully hybrid spectrum sharing (EE-FHSS) approach is proposed considering the quality of experience QoE (i.e., data rate) as the main constraint. In this approach, the spectrum available in the high and low frequencies (28 and 73 GHz) is sliced into three portions (licensed, semi-shared, and fully-shared) aims to serve the users (UEs) that belong to four operators in an integrated and hybrid manner. The performance of the proposed QoE-Based EE UA-FHSS is compared with the well-known maximum signal-to-interference-plus-noise ratio (max-SINR UA-FHSS). Numerical results show that remarkable enhancement in terms of EE for the four participating operators can be achieved while maintaining a high degree of QoE to the UEs
Improved Handover Through Dual Connectivity in 5G mmWave Mobile Networks
The millimeter wave (mmWave) bands offer the possibility of orders of
magnitude greater throughput for fifth generation (5G) cellular systems.
However, since mmWave signals are highly susceptible to blockage, channel
quality on any one mmWave link can be extremely intermittent. This paper
implements a novel dual connectivity protocol that enables mobile user
equipment (UE) devices to maintain physical layer connections to 4G and 5G
cells simultaneously. A novel uplink control signaling system combined with a
local coordinator enables rapid path switching in the event of failures on any
one link. This paper provides the first comprehensive end-to-end evaluation of
handover mechanisms in mmWave cellular systems. The simulation framework
includes detailed measurement-based channel models to realistically capture
spatial dynamics of blocking events, as well as the full details of MAC, RLC
and transport protocols. Compared to conventional handover mechanisms, the
study reveals significant benefits of the proposed method under several
metrics.Comment: 16 pages, 13 figures, to appear on the 2017 IEEE JSAC Special Issue
on Millimeter Wave Communications for Future Mobile Network
Multi-Connectivity Management and Orchestration Architecture Integrated With 5g Multi Radio Access Technology Network
The significant growth in the number of devices and the tremendous boost in
network/user traffic types and volume as well as the efficiency constraints of 4G
innovations have encouraged industry efforts and also financial investments towards
defining, developing, and releasing systems for the fifth generation. The 5G of mobile
broadband wireless networks with multiple Radio Access Technologies (Multi-RATs)
have actually been designed to satisfy the system and service requirements of the
existing as well as the coming applications. The multi-RAT access network is
considered the key enabling technology to satisfy these requirements based on low
latency, high throughput. To utilize all available network resources efficiently, research
activities have been proposed on multi-connectivity to connect, split, steer, switch, and
orchestrate across multiple RATs. Recently, multi-connectivity management and
orchestration architecture standardization has just started; therefore, further study and
research is needed. This project proposed a multi-connectivity management and
orchestration architecture integrated with 5G, Long-Term Evolution (LTE), and
Wireless LANs (WLAN) technologies. The simulations experiments conducted to
measure the Quality of Experience (QoE) by provisioning network resources
efficiently, which are: data rate, latency, bit error rate. The results show that the 5G
requirements have been achieved with latency and throughput around 1ms and 200
Mbps, respectively
Transceivers as a Resource: Scheduling Time and Bandwidth in Software-Defined Radio
In the future, software-defined radio may enable a mobile device to support multiple wireless protocols implemented as software applications. These applications, often referred to as waveform applications, could be added, updated, or removed from a software-radio device to meet changing demands. Current software-defined radio solutions grant an active waveform exclusive ownership of a specific transceiver or analog front-end. Since a wireless device has a limited number of front-ends, this approach puts a hard constraint on the number of concurrent waveform applications a device can support. A growing trend in software-defined radio research is to virtualize front-ends to allow sharing and reuse among active waveform applications. This poses a difficult scheduling challenge. This article proposes a new approach in which shared access to front-ends is managed by a mixed-integer linear programming model. This model ties together the technique of time-division sharing and front-end bandwidth channelization. This scheduling model is evaluated in simulation under several different scenarios and workloads. Simulation results show that the proposed approach reduces hardware contention and missed radio accesses compared to existing techniques
On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning enabled UE-Centric Traffic Steering
Traffic steering (TS) is a promising approach to support various service
requirements and enhance transmission reliability by distributing network
traffic loads to appropriate base stations (BSs). In conventional cell-centric
TS strategies, BSs make TS decisions for all user equipment (UEs) in a
centralized manner, which focuses more on the overall performance of the whole
cell, disregarding specific requirements of individual UE. The flourishing
machine learning technologies and evolving UE-centric 5G network architecture
have prompted the emergence of new TS technologies. In this paper, we propose a
knowledge transfer and federated learning-enabled UE-centric (KT-FLUC) TS
framework for highly dynamic 5G radio access networks (RAN). Specifically,
first, we propose an attention-weighted group federated learning scheme. It
enables intelligent UEs to make TS decisions autonomously using local models
and observations, and a global model is defined to coordinate local TS
decisions and share experiences among UEs. Secondly, considering the individual
UE's limited computation and energy resources, a growing and pruning-based
model compression method is introduced, mitigating the computation burden of
UEs and reducing the communication overhead of federated learning. In addition,
we propose a Q-value-based knowledge transfer method to initialize newcomer
UEs, achieving a jump start for their training efficiency. Finally, the
simulations show that our proposed KT-FLUC algorithm can effectively improve
the service quality, achieving 65\% and 38\% lower delay and 52% and 57% higher
throughput compared with cell-based TS and other UE-centric TS strategies,
respectively.Comment: This paper has been accepted by IEEE Transactions on Cognitive
Communications and Networkin
End-to-End Simulation of 5G mmWave Networks
Due to its potential for multi-gigabit and low latency wireless links,
millimeter wave (mmWave) technology is expected to play a central role in 5th
generation cellular systems. While there has been considerable progress in
understanding the mmWave physical layer, innovations will be required at all
layers of the protocol stack, in both the access and the core network.
Discrete-event network simulation is essential for end-to-end, cross-layer
research and development. This paper provides a tutorial on a recently
developed full-stack mmWave module integrated into the widely used open-source
ns--3 simulator. The module includes a number of detailed statistical channel
models as well as the ability to incorporate real measurements or ray-tracing
data. The Physical (PHY) and Medium Access Control (MAC) layers are modular and
highly customizable, making it easy to integrate algorithms or compare
Orthogonal Frequency Division Multiplexing (OFDM) numerologies, for example.
The module is interfaced with the core network of the ns--3 Long Term Evolution
(LTE) module for full-stack simulations of end-to-end connectivity, and
advanced architectural features, such as dual-connectivity, are also available.
To facilitate the understanding of the module, and verify its correct
functioning, we provide several examples that show the performance of the
custom mmWave stack as well as custom congestion control algorithms designed
specifically for efficient utilization of the mmWave channel.Comment: 25 pages, 16 figures, submitted to IEEE Communications Surveys and
Tutorials (revised Jan. 2018