Joint Downlink and Uplink Resource Allocation for Energy-Efficient Carrier Aggregation

Yu, Guanding; Chen, Qimei; Yin, Rui; Zhang, Huazi; Li, Geoffrey Ye

doi:10.1109/twc.2015.2403327

Cited by 69 publications

(50 citation statements)

References 29 publications

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“…To our knowledge, the only existing work that investigates downlink power setting in LTE networks with carrier aggregation support is [11]. There, the authors formulate an optimisation problem that aims at maximising the system energy efficiency by optimising power allocation and user association.…”

Section: Related Workmentioning

confidence: 99%

Downlink transmit power setting in LTE HetNets with carrier aggregation

Fazliu

Chiasserini

Dell'Aera

2016

2016 IEEE 17th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)

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Carrier aggregation, which allows users to aggregate several component carriers to obtain up to 100 MHz of bandwidth, is one of the central features envisioned for next generation cellular networks. While this feature will enable support for higher data rates and improve quality of service, it may also be employed as an effective interference mitigation technique, especially in multi-tier heterogeneous networks. Having in mind that the aggregated component carriers may belong to different frequency bands and, hence, have varying propagation profiles, we argue that it is not necessary, indeed even harmful, to transmit at maximum power at all carriers, at all times. Rather, by using game theory, we design a distributed algorithm that lets eNodeBs and micro base stations dynamically adjust the downlink transmit power for the different component carriers. We compare our scheme to different power strategies combined with popular interference mitigation techniques, in a typical large-scale scenario, and show that our solution significantly outperforms the other strategies in terms of global network utility, power consumption and user throughput.

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Section: Related Workmentioning

confidence: 99%

Downlink transmit power setting in LTE HetNets with carrier aggregation

Fazliu

Chiasserini

Dell'Aera

2016

2016 IEEE 17th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)

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“…When L > 1, (19) is a sum-of-ratios fractional program. A conventional heuristic strategy for solving this type of problems with concave-convex ratios is to transform it to a parameterized form with some fixed parameters, and then search the optimal parameters by solving a series of convex subproblems [9,29,30]. Specifically, the solutions for (19) can be obtained by solving as a series of subproblems…”

Section: Multi-ratio Fractional Programsmentioning

confidence: 99%

Energy-efficient transmission strategies for CoMP downlink—overview, extension, and numerical comparison

Nguyen

Tervo

et al. 2018

J Wireless Com Network

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This paper focuses on energy-efficient coordinated multi-point (CoMP) downlink in multi-antenna multi-cell wireless communications systems. We provide an overview of transmit beamforming designs for various energy efficiency (EE) metrics including maximizing the overall network EE, sum weighted EE, and fairness EE. Generally, an EE optimization problem is a nonconvex program for which finding the globally optimal solutions requires high computational effort. Consequently, several low-complexity suboptimal approaches have been proposed. Here, we sum up the main concepts of the recently proposed algorithms based on the state-of-the-art successive convex approximation (SCA) framework. Moreover, we discuss the application to the newly posted EE problems including new EE metrics and power consumption models. Furthermore, distributed implementation developed based on alternating direction method of multipliers (ADMM) for the provided solutions is also discussed. For the sake of completeness, we provide numerical comparison of the SCA based approaches and the conventional solutions developed based on parametric transformations (PTs). We also demonstrate the differences and roles of different EE objectives and power consumption models.

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“…To our knowledge, the only existing work that investigates downlink power setting in cellular networks with CA support is [17]. There, Yu et al formulate an optimization problem that aims at maximizing the system energy efficiency by optimizing power allocation and user association.…”

Section: Related Workmentioning

confidence: 99%

“…However, interference issues, which are one of the main challenges we address, are largely ignored in [17] as the authors consider a non-heterogeneous, single cell scenario.…”

Section: Related Workmentioning

confidence: 99%

Distributed Downlink Power Control for Dense Networks With Carrier Aggregation

Fazliu

Chiasserini

Dell'Aera

et al. 2017

IEEE Trans. Wireless Commun.

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Given the proven benefits cell densification brings in terms of capacity and coverage, it is certain that 5G networks will be even more heterogeneous and dense. However, as smaller cells are introduced in the network, interference will inevitably become a serious problem as they are expected to share the same radio resources. Another central feature envisioned for future cellular networks is carrier aggregation (CA), which allows users to simultaneously use several component carriers of various widths and frequency bands. By exploiting the diversity of the different carriers, CA can also be used to effectively mitigate the interference in the network. In this paper, we leverage the above key features of next-generation cellular networks and formulate a downlink power setting problem for the different available carriers. Using game theory, we design a distributed algorithm that lets cells dynamically adjust different transmit powers for the different carriers. The proposed solution greatly improves network performance by reducing interference and power consumption, while ensuring coverage for as many users as possible. We compare our scheme to other interference mitigation techniques, in a realistic largescale scenario. Numerical results show that our solution outperforms the existing schemes in terms of user throughput, energy and spectral efficiency.

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Joint Downlink and Uplink Resource Allocation for Energy-Efficient Carrier Aggregation

Cited by 69 publications

References 29 publications

Downlink transmit power setting in LTE HetNets with carrier aggregation

Downlink transmit power setting in LTE HetNets with carrier aggregation

Energy-efficient transmission strategies for CoMP downlink—overview, extension, and numerical comparison

Distributed Downlink Power Control for Dense Networks With Carrier Aggregation

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