Optimal predictive resource allocation: Exploiting mobility patterns and radio maps

Abou-zeid, Hatem; Hassanein, Hossam S.; Valentin, Stefan

doi:10.1109/glocomw.2013.6855723

Cited by 42 publications

(28 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1(a) illustrates how P-RANs enable Base Stations (BSs) to prioritize users headed to low rate areas (marked in red) and plan resource reservations for users arriving from low rate areas. The potential increases in throughput and fairness of such schemes have been demonstrated in [3,8,23].…”

Section: Predictive Radio Access Networkmentioning

confidence: 97%

“…To cope with the increasing demand of vehicular content, a number of predictive resource allocation techniques have recently been proposed [3,5,21,23]. This emerging direction of P-RANs can be viewed as a cross-layer framework where future estimates of Physical layer (PHY) information are coupled with context information from the application layer to optimize long-term RAN functionality.…”

Section: Predictive Radio Access Networkmentioning

confidence: 99%

“…This form of predictive radio access that leverages mobility information has been a recent topic of investigation. For instance, contemporary works have demonstrated its significant potential to improve network throughput and fairness [3,23], video streaming experience [6,21], as well as energy efficiency [5,18]. However, due to the complexity of the problem that involves joint optimization over a time horizon, several practical aspects have not yet been addressed.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Towards mobility-aware predictive radio access

Abou-zeid

Hassanein

Atawia

2014

Proceedings of the 17th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

Self Cite

View full text Add to dashboard Cite

Novel radio access techniques that leverage mobility predictions are receiving increasing interest in recent literature. The essence of these schemes is to lookahead at the future rates users will experience, and then devise long-term resource allocation strategies. For instance, a YouTube video user moving towards the cell edge can be prioritized to prebuffer additional video content before poor coverage commences. While the potential of mobility-aware resource allocation has recently been demonstrated, several practical design aspects and evaluation approaches have not yet been addressed due to the complexity of the problem. Furthermore, since prior works have focused on specific applications there is also a strong need for a unified framework that can support different user and network requirements. For this purpose, we present a novel two-stage Predictive Radio Access Network (P-RAN) framework that can efficiently leverage both future data rate predictions in the order of tens of seconds, and instantaneous fast fading at the millisecond level. We also show how the framework can be implemented within the open source Network Simulator 3 (ns-3) LTE module, and apply it to optimize stored video delivery. A thorough set of performance tests are then conducted to assess the performance gains and investigate sensitivity to various prediction errors. Our results indicate that P-RANs can jointly improve both service quality and transmission efficiency. Additionally, we also observe that P-RAN performance can be further improved by modeling prediction uncertainty and developing robust allocation techniques.

show abstract

Section: Predictive Radio Access Networkmentioning

confidence: 97%

Section: Predictive Radio Access Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Towards mobility-aware predictive radio access

Abou-zeid

Hassanein

Atawia

2014

Proceedings of the 17th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

Self Cite

View full text Add to dashboard Cite

show abstract

“…Advanced handover optimization mechanisms [52] allow for seamless connectivity and, hence, also contribute towards the fulfillment of real-time requirements. Moreover, the utilization of context information (such as trajectory prediction) can be used as a basis for seamless content delivery and QoS control [14]. Last but not least, future 5G networks have to cope with a number of devices that is 10-100 times higher compared to a basis system of today, e.g., 3GPP LTE Rel.…”

Section: G As Enabler For Real-time Off-board Applicationsmentioning

confidence: 99%

LTE for Vehicular Communications

Lottermann

Botsov

Fertl

et al. 2015

Vehicular Ad Hoc Networks

View full text Add to dashboard Cite

The cellular communication networks standard 3rd Generation Partnership Project (3GPP) Long Term Evolution (LTE) offers low latencies and high throughputs simultaneously, thus enabling more bandwidth-demanding and real-time critical services for end-users. This is of particular interest for vehicle manufacturers who in the future intend to offer a huge variety of cooperative driver assistance services with manifold quality of service requirements. This chapter analyzes the suitability of LTE as a wireless transmission technology for future vehicular services of the categories Infotainment, Comfort, Traffic Efficiency, and Safety. The investigations are based on extensive LTE system-level simulations under different load conditions and network deployments as well as on a theoretical delay analysis. Focus is set on transmission delays and reliability aspects under various quality of service settings. The results show that an accurate selection of the LTE quality of service parameters is crucial in order to meet the delay and reliability requirements of future automotive applications, especially in high-load network conditions. Keywords VANET • LTE • LTE- IntroductionImproving traffic safety, efficiency, and driver's comfort becomes more and more important for modern vehicles. At the same time, the demands for high data rate information and entertainment services grow.Modern vehicles are increasingly equipped with on-board advanced driver assistance services (ADAS) which process data from numerous on-board vehicle sensors. However, to further improve ADAS systems, it is required to enlarge the range of the sensors mounted at the vehicle by incorporating also information from the outside world. This can be obtained from cooperation with other vehicles or road infrastructure, known as vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), infrastructure-to-vehicle (I2V), or vehicle-to-X (V2X) communications. The IEEE 802.11p [36] standard specifies the communication technology for ITS applications in Vehicular Ad Hoc Networks (VANETs). Its advantages are easy deployment, low costs, mature technology, and the capability to natively support V2V communications in ad hoc mode. Nonetheless, this technology suffers from scalability issues and low penetration, unbounded delays, and lack of deterministic quality of service (QoS) guarantees [15]. Due to its ad hoc connectivity focus, its limited radio range and without a pervasive roadside communication infrastructure, IEEE 802.11p can only offer intermittent and short-lived V2I connectivity. These concerns motivate the investigation of wireless access technologies to support advanced V2I and V2V communications in vehicular environments. LTE [9] is the most promising wireless broadband technology that provides high throughput and low latency for mobile services. Like all cellular systems it benefits from a large coverage area, high penetration rate providing the economical basis for short development cycles, and high velocity terminal support.LTE particularly m...

show abstract

“…Predictability of demand patterns is considered in the context of proactive caching in [2]. In [3], a multi-user rate allocation method is proposed based on predicted user rates for efficient energy transmission of stored videos that can be cached at the user devices. Proactive caching based on user demand, and channel prediction, statistics is studied in [4].…”

Section: Introductionmentioning

confidence: 99%

LAPRA: Location-Aware Proactive Resource Allocation

Muppirisetty

Yiu²,

Wymeersch

2016

2016 IEEE Global Communications Conference (GLOBECOM)

View full text Add to dashboard Cite

Abstract-Today's indoor wireless networks employ reactive resource allocation methods to provide fair and efficient usage of the communication system. However, their reactive nature limits the quality of service (QoS) that can be offered to the user locations within the environment. In large crowded areas (airports, conferences), networks can get congested and users may suffer from poor QoS. To mitigate this, we propose and evaluate a location-aware user-centric proactive resource allocation approach (LAPRA), in which the users are proactive and seek good channel quality by moving to locations where the signal quality is good. As a result, the users and their locations are optimized to improve the overall QoS. We demonstrate that the proposed proactive approach enhances the user QoS and improves network throughput of the system.

show abstract

Optimal predictive resource allocation: Exploiting mobility patterns and radio maps

Cited by 42 publications

References 7 publications

Towards mobility-aware predictive radio access

Towards mobility-aware predictive radio access

LTE for Vehicular Communications

LAPRA: Location-Aware Proactive Resource Allocation

Contact Info

Product

Resources

About