Backhaul aware joint uplink and downlink user association for delay‐power trade‐offs in HetNets with hybrid energy sources

Liu, Dantong; Chen, Yue; Chai, Kok Keong; Zhang, Tiankui

doi:10.1002/ett.2968

Cited by 10 publications

(14 citation statements)

References 24 publications

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“…In [12], low-complexity techniques applicable to enterprise WiFi networks were devised. In [13], backhaul-aware userassociation optimised jointly over DL and UL for HetNets with hybrid energy sources was proposed. In [14], the uplink of future 5G C-RAN architectures was investigated.…”

Section: Related Workmentioning

confidence: 99%

On user association and multiple access optimisation in 5G massive MIMO empowered ultra dense networks,

Gotsis

Panagopoulos

2016

Trans. Emerging Tel. Tech.

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Ultra network densification and massive multiple-input and multiple-output are considered major 5th generation technology enablers, promising huge capacity gains as they offer proximity, spectral and spatial reuse benefits. Towards succeeding in harnessing the anticipated gains, a systematic treatment of radio resources management challenges encountered in such network deployments is of utmost importance. In this respect, we introduce and study in detail the user-association and multiple-access optimisation aspects of massive multiple-input and multiple-output ultra dense networks. We derive for the first time to the best of our knowledge a series of mathematical programming models for computing the optimal user-association decisions and assessing the impact of two multiple access candidate approaches, namely, frequency domain and spatial domain multiple access. We support the work with an extensive performance evaluation study, which reveals the rate scaling performance trends of the different approaches, considering various network operation conditions, as well as obtain useful design insights for future setups employing the particular technologies.

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Section: Related Workmentioning

confidence: 99%

On user association and multiple access optimisation in 5G massive MIMO empowered ultra dense networks,

Gotsis

Panagopoulos

2016

Trans. Emerging Tel. Tech.

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“…However, such a treatment may be unreasonable since the user association takes place at a large-scale time slot and utilizes a slow-fading channel, but the latter takes place at a small-scale time slot and uses a fast-fading channel. In [23], Liu et al proposed a backhaul-aware association mechanism with coupling DUL to achieve a tradeoff between the network delay and the power consumption for hybrid energy sources enabled HCNs. Such a mechanism tried to minimize the DUL traffic delay, and reduce the uplink power consumption of users and the downlink on-grid power consumption at the same time.…”

Section: A Related Workmentioning

confidence: 99%

Joint Device Association and Power Coordination for H2H and IoT Communications in Massive MIMO Enabled HCNs

et al. 2020

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The integration of massive multiple-input and multiple-output (MIMO) enabled heterogeneous cellular networks (HCNs) and Internet of Things (IoT) is a promising treatment for future networking paradigms. In such networks, the human-to-human (H2H) devices and IoT devices have some distinct service requirements. Specifically, the former mainly concentrates on downlink throughput, but the latter pays more attention to uplink power consumption. Based on this, we design a device association mechanism (scheme) to achieve a tradeoff between these two performance metrics under devices' association requirements. Through some appropriate adjustments of weighting parameters, different types of devices can improve their performance metrics of interest. At last, such a scheme is formulated as a network-wide logarithmic utility maximization problem in a nonlinear and combinatorial form. To solve it, we develop two types of association algorithms, whose primary difference lies in the treatment of weighting parameters. Then, we show the corresponding convergence and computation complexity analyses for them. Finally, we investigate the impacts of weighting parameters, the BS power and the number of antennas on some certain performance metrics of designed algorithms and other existing one. The simulation results show that the designed algorithms can meet different devices' association requirements by properly adjusting weighting parameters. INDEX TERMS Heterogeneous cellular networks (HCNs), massive MIMO, Internet of Things (IoT), human-to-human (H2H), device association, power coordination, downlink and uplink (DUL).

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“…Since the network is fully loaded, it is achieved that the density of the PPP Φ S U is̃S . Hence, with I MUUL M , by using (12), the LT of I MUUL M is given by…”

Section: Sbs-mbs Backhaul Sir and Interference Distributionmentioning

confidence: 99%

“…However, with the dense deployment of small cells, the backhaul solution becomes one of the main challenges. This is because the ultradense and heavy traffic should be connected to the core network through backhaul . The design of backhaul transmission is critical in satisfying the quality of service of MUs.…”

Section: Introductionmentioning

confidence: 99%

“…This is because the ultradense and heavy traffic should be connected to the core network through backhaul. 11,12 The design of backhaul transmission is critical in satisfying the quality of service of MUs. Although the conventional wired backhaul link generates reliability with a high data rate, it is impractical and of high cost to have wired connections among all SBSs in densely deployed HetNets.…”

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confidence: 99%

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Effective self‐backhaul scheme for massive MIMO–enabled full‐duplex heterogeneous networks by exploiting NOMA

Jia

Yang

et al. 2019

Trans Emerging Tel Tech

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By integrating full‐duplex (FD) and nonorthogonal multiple‐access (NOMA) techniques for wireless self‐backhaul at small‐cell base stations (SBSs), a novel multitier heterogeneous network (HetNet) is proposed. In the HetNet, NOMA is used at SBSs for combing backhaul and downlink (DL) signals. As a result, at each SBS, the backhaul, uplink transmission, and DL transmission are executed simultaneously, whereas the FD macro base stations (MBSs) communicate with mobile users (MUs) and transceive backhaul signals from associated SBSs by using massive‐MIMO antennas. The simple time‐division duplex is performed for the communications between MBSs and MUs so that a round of communications consists of MBS‐MU‐DL and MBS‐MU‐UL phases. This work particularly focuses on the MBS‐MU‐DL phase. By assuming the HetNet to be fully loaded, this paper first models the distribution of active SBSs and those of the interference received at the different types of receivers. Then, by formulating the received signal‐to‐interference ratios, this paper obtains the coverage probabilities of the MU‐SBS‐MBS uplink backhaul and MU DLs as well as the spectrum and energy efficiencies. The presented simulations and numerical results show that the integration of FD and NOMA at SBSs is an effective solution for creating the backhaul between FD‐SBS and FD‐MBS. It is obtained that when the power‐sharing coefficient allocated for a small‐cell DL is small, the coverage probability of SBS DL transmission increases; otherwise, it decreases. However, the coverage probabilities of the MBS DL and MU‐SBS‐MBS backhaul link monotonically vary with the power‐sharing coefficient. It is also achieved that the power‐sharing coefficient imposes the effect on the energy efficiencies of the MU‐SBS‐MBS backhaul link and MU DL in inverse directions. At the same time, it is found that the achieved energy efficiency gain depends greatly on the resolution of massive‐MIMO antennas.

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Backhaul aware joint uplink and downlink user association for delay‐power trade‐offs in HetNets with hybrid energy sources

Cited by 10 publications

References 24 publications

On user association and multiple access optimisation in 5G massive MIMO empowered ultra dense networks,

On user association and multiple access optimisation in 5G massive MIMO empowered ultra dense networks,

Joint Device Association and Power Coordination for H2H and IoT Communications in Massive MIMO Enabled HCNs

Effective self‐backhaul scheme for massive MIMO–enabled full‐duplex heterogeneous networks by exploiting NOMA

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