Impact of Macrocellular Network Densification on the Capacity, Energy and Cost Efficiency in Dense Urban Environment

Yunas, Syed Fahad; Isotalo, Tero; Niemelä, Jarno; Valkama, Mikko

doi:10.5121/ijwmn.2013.5507

Cited by 18 publications

(13 citation statements)

References 27 publications

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“…The model extends the original horizontal pattern model of 3GPP, proposed in specification TS36.184, to include a vertical antenna pattern model with an option to set the electrical downtilt. The electrical tilt is computed for each of the macrocell intersite distance based on the methodology used in [12]. The Microcells and FAPs are assumed to employ an omni-directional antenna.…”

Section: E Antenna Modelmentioning

confidence: 99%

“…The total power consumption of different network densification alternatives in LTE context was studied in [11], which concludes that under low discontinuous transmission (DTX), the macrocell densification is the most power efficient solution. In [12], a techno-economic study of macrocellular densification in a dense urban Manhattan type environment was reported, which highlights the performance limitations of macrocell networks in indoor environment. The techno economics of introducing femtocells into LTE macrocellular networks, with open access and closed access femto mode, have been studied in [13].…”

Section: Introductionmentioning

confidence: 99%

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Techno-economical analysis and comparison of legacy and ultra-dense small cell networks

Yunas

Niemelä

Valkama

et al. 2014

39th Annual IEEE Conference on Local Computer Networks Workshops

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Network densification has been identified as one key enabling technology to address the 1000x mobile data challenge. This article analyzes network densification from the different deployment options perspective by looking into three mainstream technologies; Macrocells, Microcells, and Femtocells. The technologies are evaluated in a suburban neighborhood with modern residential houses. As majority of the data traffic in the network is believed to be generated by indoor users, we make a techno-economic analysis and comparison of the different deployment strategies from the indoor local area service provisioning viewpoint. Results show superior performance of low power indoor femtocell based deployment solutions in terms of coverage, capacity, energy and cost efficiency as compared to the outdoor solutions. Densifying the traditional pure Macro or Micro layers does provide improvement in the indoor coverage levels, however, due to the closer proximity of the co-channel interfering sites, the achievable capacity in the indoor environment deteriorates, which in turn also affects the energy and cost efficiency. These findings strongly motivate towards ultra dense deployments, based on indoor femtocell solutions, for addressing the local area capacity needs of the emerging future 5G networks.

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Section: E Antenna Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Techno-economical analysis and comparison of legacy and ultra-dense small cell networks

Yunas

Niemelä

Valkama

et al. 2014

39th Annual IEEE Conference on Local Computer Networks Workshops

View full text Add to dashboard Cite

show abstract

“…For the same multicast content dissemination, this pair of cellular channels will be interleaved on the relaying path from the base station to the final target DCH, which is not used by other multicast content distribution services, and thus, the cochannel interference will not occur. erefore, in this paper, we will ignore the cochannel interference in formulas (5) and (6) to simplify the calculation process of cellular multicast power and intercluster D2D multicast power.…”

Section: E Solving Methods For D2d Multicast Transmission Powermentioning

confidence: 99%

“…For t � 1 to T do (5) If k � argmax i∈ 1,...,K { } (g it ) then m tk � 1 End if (6) End for (7) For k � 1 to K do (8) x…”

Section: E Solving Methods For D2d Multicast Transmission Powermentioning

confidence: 99%

“…e smaller cell size leads to the higher data rate, lower power consumption, and lower delay due to the closer distance between any wireless multicast receiver and its associated eNodeB. Clearly, this benefit depends on the deployment of more small base stations, and it in turn increases the deployment and maintenance costs of operators [6].…”

Section: Introductionmentioning

confidence: 99%

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Improving Energy Efficiency of Multimedia Content Dissemination by Adaptive Clustering and D2D Multicast

Long

Gui

Zeng

2019

Mobile Information Systems

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While achieving desired performance, there exist still many challenges in current cellular networks to support the multimedia content dissemination services. The conventional multimedia transmission schemes tend to serve all multicast group members with the data rate supported by the receiving user with the worst channel condition. The recent work discusses how to provide satisfactory quality of service (QoS) for all receiving users with different quality of experience (QoE) requirements, but the energy efficiency improvement of multimedia content dissemination is not its focus. In this paper, we address it based on adaptive clustering and device-to-device (D2D) multicast and propose an energy-efficient multimedia content dissemination scheme under a consistent QoE constraint. Our scheme extends the recent work with the proposed K-means-based D2D clustering method and the proposed game-based incentive mechanism, which can improve energy efficiency of multimedia content dissemination on the premise of ensuring the desired QoE for most multicast group members. In the proposed scheme, we jointly consider the cellular multicast, intracluster D2D multicast, and intercluster D2D multicast for designing the energy-efficient multimedia content dissemination scheme. In particular, we formulate the energy-efficient multicast transmission problem as a Stackelberg game model, where the macro base station (MBS) is the leader and the candidate D2D cluster heads (DCHs) are the followers. Also, the MBS acts as the buyer who buys the power from the candidate DCHs for intracluster and intercluster D2D multicast communications, and the candidate DCHs act as the sellers who earn reward by helping the MBS with D2D multicast communications. Through analyzing the above game model, we derive the Stackelberg equilibrium as the optimal allocation for cellular multicast power, intracluster D2D multicast power, and intercluster D2D multicast power, which can maximize the MBS’s utility function. Finally, the proposed scheme is verified through the simulation experiments designed in this paper.

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A D2D assisted multi‐hop data dissemination protocol for inter‐UAV communication

Khan

Rahim

Javed

et al. 2021

Int J Communication

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Unmanned aerial vehicles (UAVs) are key components of future Internet of Things as they facilitate efficient data sensing and transmission. However, UAVs will be sparsely placed and data dissemination among UAVs is a challenge. In this regard, cellular users can help to propagate the data between UAVs by using multi-hop device-to-device (D2D) communication. A key challenge for multi-hop D2D communication to support inter-UAV communication is to select optimal forwarding D2D nodes that reduce the communication delay. In this paper, we propose a multi-hop data dissemination protocol for inter-UAV communication using D2D-enabled user equipment (UEs). We consider factors such as channel quality and queuing delay to find suitable forwarding D2D nodes. To improve reliability of transmission, the proposed protocol selects forwarding nodes within a forwarding area where packets can be successfully received. Simulation results verify that the proposed protocol can reduce end-to-end delay and improve reliability of multi-hop UAV data dissemination.

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Impact of Macrocellular Network Densification on the Capacity, Energy and Cost Efficiency in Dense Urban Environment

Abstract: ABSTRACT

Cited by 18 publications

References 27 publications

Techno-economical analysis and comparison of legacy and ultra-dense small cell networks

Techno-economical analysis and comparison of legacy and ultra-dense small cell networks

Improving Energy Efficiency of Multimedia Content Dissemination by Adaptive Clustering and D2D Multicast

A D2D assisted multi‐hop data dissemination protocol for inter‐UAV communication

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