User association with jointly maximising downlink sum rate and minimising uplink sum power for heterogeneous cellular networks

Zhou, Tianqing; Huang, Yongming; Yang, Liu

doi:10.1049/iet-com.2014.0476

Cited by 16 publications

(19 citation statements)

References 23 publications

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“…Also, pico base stations (PBSs) and devices are uniformly and independently deployed in the circular coverage area of the MBS, where this MBS is located at the center of its coverage area . Note that, perfect channel state information is assumed in this work . Based on the available system bandwidth, each BS j ∈ β will have

N_{j}^{c h}

channels to allocate them among its associated users.…”

Section: System Modelsupporting

confidence: 84%

“…We represent

N_{B} = false| β false|

as the cardinality of β and

N_{D} = false| D false|

as the cardinality of D . Also, pico base stations (PBSs) and devices are uniformly and independently deployed in the circular coverage area of the MBS, where this MBS is located at the center of its coverage area . Note that, perfect channel state information is assumed in this work .…”

Section: System Modelmentioning

confidence: 99%

“…Accordingly, there are many research efforts for better device association schemes suitable for HCNs in works . In Ye et al, a joint resource allocation and cell association problem were solved; authors proved that the optimal allocation occurred when available resources were equally distributed among attached user equipments at each BS.…”

Section: Introductionmentioning

confidence: 99%

“…A device association scheme was proposed in Liu et al to maximize the sum of the downlink and uplink energy efficiencies. In Zhou et al, authors proposed association algorithm to maximize total network utility by maximizing downlink sum rate and minimizing total uplink power. An association criteria based on enhanced intercell interference coordination with almost blanking subframe was proposed in Jia et al A novel framework to improve device outage probability while achieving load balancing between different BS was developed in Gongchao et al However, all of the aforementioned works have not taken into account the device QoS requirements during the association process.…”

Section: Introductionmentioning

confidence: 99%

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Distributed device association for multiservice heterogeneous cellular networks with QoS provisioning

Elhattab

Ibrahim

2017

Trans Emerging Tel Tech

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Heterogeneous cellular network offers a promising architecture for supporting multiservice traffic generated by Internet of thing (IoT) paradigm and human-to-human (H2H) communications. In this paper, a distributed device association algorithm is proposed to consider the diverse quality of service requirements for H2H devices and IoT devices coexisted in heterogeneous cellular network. In this context, the traffic generated by H2H devices and IoT devices is categorized into 2 main classes, ie, primary service class (PSC) requiring low outage probability and secondary service class (SSC) with a minimum long-term rate requirement. Primary service class is principally used to model H2H traffic, while SSC is mainly used to model IoT traffic. The association problem is formulated to maximize the system revenue in terms of the number of devices belonging to the SSC while minimizing the global outage probability for devices modeled to PSC under quality of service guarantee. Since the proposed optimization problem is an NP combinatorial problem, an efficient solution is derived by relaxing the association constraints and adopting the Lagrange dual decomposition method. Simulation results show that our proposed algorithm outperforms the comparable schemes especially on outage performance for PSC-modeled devices and number of accommodated SSC-modeled devices.

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N_{j}^{c h}

channels to allocate them among its associated users.…”

Section: System Modelsupporting

confidence: 84%

“…We represent

N_{B} = false| β false|

as the cardinality of β and

N_{D} = false| D false|

Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Distributed device association for multiservice heterogeneous cellular networks with QoS provisioning

Elhattab

Ibrahim

2017

Trans Emerging Tel Tech

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“…Optimize downlink and uplink performance jointly in the user association design. [72,[127][128][129] Backhaul bottleneck…”

Section: Uplink-downlink Asymmetrymentioning

confidence: 99%

User Association in 5G Networks: A Survey and an Outlook

Dan-tong

Wang

Chen

et al. 2016

IEEE Commun. Surv. Tutorials

509

272

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The fifth generation (5G) mobile networks are envisioned to support the deluge of data traffic with reduced energy consumption and improved quality of service (QoS) provision. To this end, the key enabling technologies, such as heterogeneous networks (HetNets), massive multiple-input multiple-output (MIMO) and millimeter wave (mmWave) techniques, are identified to bring 5G to fruition. Regardless of the technology adopted, a user association mechanism is needed to determine whether a user is associated with a particular base station (BS) before the data transmission commences. User association plays a pivotal role in enhancing the load balancing, the spectrum efficiency and the energy efficiency of networks. The emerging 5G networks introduce numerous challenges and opportunities for the design of sophisticated user association mechanisms. Hence, substantial research efforts are dedicated to the issues of user association in HetNets, massive MIMO networks, mmWave networks and energy harvesting networks. We introduce a taxonomy as a framework for systematically studying the existing user association algorithms. Based on the proposed taxonomy, we then proceed to present an extensive overview of the state-of-the-art in user association conceived for HetNets, massive MIMO, mmWave and energy harvesting networks. Finally, we summarize the challenges as well as opportunities of user association in 5G and provide design guidelines and potential solutions for sophisticated user association mechanisms.Comment: 26 pages; accepted to appear in IEEE Communications Surveys and Tutorial

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Dual Connectivity Enabled User Association Approach for Max-Throughput in the Downlink Heterogeneous Network

Shi

Zhao

2017

Wireless Pers Commun

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User association with jointly maximising downlink sum rate and minimising uplink sum power for heterogeneous cellular networks

Cited by 16 publications

References 23 publications

Distributed device association for multiservice heterogeneous cellular networks with QoS provisioning

Distributed device association for multiservice heterogeneous cellular networks with QoS provisioning

User Association in 5G Networks: A Survey and an Outlook

Dual Connectivity Enabled User Association Approach for Max-Throughput in the Downlink Heterogeneous Network

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