How Mobility Impacts the Performance of Inter-Cell Coordination in Cellular Data Networks

Abbas, Nivine; Bonald, Thomas; Sayraç, Berna

doi:10.1109/glocom.2015.7417573

Cited by 6 publications

References 14 publications

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Heterogeneous Cellular Networks With Spatio-Temporal Traffic: Delay Analysis and Scheduling

Zhong

Quek

2017

IEEE J. Select. Areas Commun.

247

201

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Abstract-Emergence of new types of services has led to various traffic and diverse delay requirements in fifth generation (5G) wireless networks. Meeting diverse delay requirements is one of the most critical goals for the design of 5G wireless networks. Though the delay of point-to-point communications has been well investigated, the delay of multi-point to multipoint communications has not been thoroughly studied since it is a complicated function of all links in the network. In this work, we propose a novel tractable approach to analyze the delay in the heterogenous cellular networks with spatio-temporal random arrival of traffic. Specifically, we propose the notion of delay outage and evaluated the effect of different scheduling policies on the delay performance. Our numerical analysis reveals that offloading policy based on cell range expansion greatly reduces the macrocell traffic while bringing a small amount of growth for the picocell traffic. Our results also show that the delay performance of round-robin scheduling outperforms first in first out scheduling for heavy traffic, and it is reversed for light traffic. In summary, this analytical framework provides an understanding and a rule-of-thumb for the practical deployment of 5G systems where delay requirement is increasingly becoming a key concern.

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Heterogeneous Cellular Networks With Spatio-Temporal Traffic: Delay Analysis and Scheduling

Zhong

Quek

2017

IEEE J. Select. Areas Commun.

247

201

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Spatio-temporal Modeling for Massive and Sporadic Access

Zhong

Mao

et al. 2021

IEEE J. Select. Areas Commun.

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The vision for smart city imperiously appeals to the implementation of Internet-of-Things (IoT), some features of which, such as massive access and bursty short packet transmissions, require new methods to enable the cellular system to seamlessly support its integration. Rigorous theoretical analysis is indispensable to obtain constructive insight for the networking design of massive access. In this paper, we propose and define the notion of massive and sporadic access (MSA) to quantitatively describe the massive access of IoT devices. We evaluate the temporal correlation of interference and successful transmission events, and verify that such correlation is negligible in the scenario of MSA. In view of this, in order to resolve the difficulty in any precise spatio-temporal analysis where complex interactions persist among the queues, we propose an approximation that all nodes are moving so fast that their locations are independent at different time slots. Furthermore, we compare the original static network and the equivalent network with high mobility to demonstrate the effectiveness of the proposed approximation approach. The proposed approach is promising for providing a convenient and general solution to evaluate and design the IoT network with massive and sporadic access. Index Terms-Interference correlation, high mobility, massive access, spatio-temporal traffic I. INTRODUCTION A. Motivations Evolution of smart terminals (smart phones, smart watches, and intelligent glasses, etc.) has spawned a rich diversity of new applications, such as Virtual Reality, Augmented Reality, Industry 4.0 and so on, which post new challenges to wireless networks hosting these applications (see Figure 1). A major branch of these applications is the access of massive Internetof-Things (IoT) devices, also considered as one of the three main application scenarios of the fifth generation mobile communications system (5G) [1], [2]. The most promising applications of IoT include long-term environmental monitoring with limited energy consumption, smart city scenarios with millions of sensors, low-delay and high-reliability scenarios in wireless factory control etc.

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Mobility-aware scheduler in CoMP systems

Abbas

Bonald

Sayraç

2016

2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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The main weakness of coordination techniques in LTE-Advanced networks is the extra resource consumption incurred by the joint transmission from several base stations. In this paper, we propose a new scheduling policy that performs coordination primarily for users staying at the cell edge, without mobility. Other cell-edge users are likely to move and to be served in better radio conditions where cell coordination is not required. We compare the performance of this algorithm to other usual scheduling policies in the presence of elastic traffic through the analysis of flow-level traffic models.

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How Mobility Impacts the Performance of Inter-Cell Coordination in Cellular Data Networks

Cited by 6 publications

References 14 publications

Heterogeneous Cellular Networks With Spatio-Temporal Traffic: Delay Analysis and Scheduling

Heterogeneous Cellular Networks With Spatio-Temporal Traffic: Delay Analysis and Scheduling

Spatio-temporal Modeling for Massive and Sporadic Access

Mobility-aware scheduler in CoMP systems

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