Sum-rate maximizing cell association via dual-connectivity

Kim, Minho; Jung, Sang Yeob; Kim, Seong-Lyun

doi:10.1109/cits.2015.7297764

Cited by 10 publications

(10 citation statements)

References 4 publications

(9 reference statements)

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“…Proof. We first note that the problem in (21) is indeed equivalent to (16) by the macro and resourceγû b ,b by pico TP b. Then, for that user we can bound the rate as…”

Section: A Optimal Allocation Fractions Of (1)mentioning

confidence: 99%

“…On the other hand, [14] considers resource partitioning at only the macro node in a DC enabled downlink to optimize the PF utility. [16] proposes an efficient sub-optimal algorithm for the problem of determining the sum rate maximizing user association under the restrictions that for each user only the low-power node yielding the highest SINR can be chosen and each node employs round robin scheduling. [17] evaluates algorithms that aim to maximize the number of satisfied users, .i.e., aim to satisfy minimum rate requirements for as many users as possible via single-TP association as well as DC.…”

Section: Introductionmentioning

confidence: 99%

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Exploiting dual connectivity in heterogeneous cellular networks

Prasad

Rangarajan

2017

2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

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We consider network utility maximization problems over heterogeneous cellular networks (HetNets) that permit dual connectivity. Dual connectivity (DC) is a feature that targets emerging practical HetNet deployments that will comprise of non-ideal (higher latency) connections between transmission nodes, and has been recently introduced to the LTE-Advanced standard. DC allows for a user to be simultaneously served by a macro node as well as one other (typically micro or pico) node and requires relatively coarser level coordination among serving nodes. For such a DC enabled HetNet we comprehensively analyze the problem of determining an optimal user association, where in any feasible association each user can be associated with (i.e., configured to receive data from) any one macro node (in a given set of macro nodes) and any one pico node that lies in the chosen macro node's coverage area. We consider the weighted sum rate system utility subject to per-user maximum and minimum rate constraints, as well as the proportional fairness (PF) system utility. For both utility choices we construct approximation algorithms and establish their respective approximation guarantees. We then validate the performance of our algorithms via numerical results.

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“…Proof. We first note that the problem in (21) is indeed equivalent to (16) by the macro and resourceγû b ,b by pico TP b. Then, for that user we can bound the rate as…”

Section: A Optimal Allocation Fractions Of (1)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploiting dual connectivity in heterogeneous cellular networks

Prasad

Rangarajan

2017

2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

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“…In [7], the authors propose a downlink traffic scheduling scheme for maximization of the network throughput. [8], [9] deal with maximizing the data rate of DC users in LTE and multiple-Radio Access Technology (RAT) scenario, respectively. The works [7], [9], [10] consider throughput as the system metric of interest.…”

Section: Introductionmentioning

confidence: 99%

Optimal traffic splitting policy in LTE-based heterogeneous network

Taksande

Roy

Karandikar

2018

2018 IEEE Wireless Communications and Networking Conference (WCNC)

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Dual Connectivity (DC) is a technique proposed to address the problem of increased handovers in heterogeneous networks. In DC, a foreground User Equipment (UE) with multiple transceivers has a possibility to connect to a Macro eNodeB (MeNB) and a Small cell eNodeB (SeNB) simultaneously. In downlink split bearer architecture of DC, a data radio bearer at MeNB gets divided into two; one part is forwarded to the SeNB through a non-ideal backhaul link to the UE, and the other part is forwarded by the MeNB. This may lead to an increase in the total delay at the UE since different packets corresponding to a single transmission may incur varying amounts of delays in the two different paths. Since the resources in the MeNB are shared by background legacy users and foreground users, DC may increase the blocking probability of background users. Moreover, single connectivity to the small cell may increase the blocking probability of foreground users. Therefore, we target to minimize the average delay of the system subject to a constraint on the blocking probability of background and foreground users. The optimal policy is computed and observed to contain a threshold structure. The variation of average system delay is studied for changes in different system parameters.

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“…Dual connectivity allows users to be simultaneously served by an MBS and a pico base station (PBS), which are operating at nonoverlapping frequency carriers and are interconnected with X2-based backhaul links. It has been demonstrated that dual connectivity can significantly increase the user throughput [2][3][4] and at the same time improve the robustness against mobility [2].…”

Section: Introductionmentioning

confidence: 99%

“…Previous works [3,4,7,8] address the traffic splitting optimization with dual connectivity without jointly considering the user-PBS association optimization and backhaul limitations. In this work, we focus on the optimization of traffic splitting and user-PBS association in the uplink by taking into account the backhaul capacity constraints of the single-antenna PBSs, where the MBS is equipped with a large number of antennas.…”

Section: Introductionmentioning

confidence: 99%

Dual Connectivity in Backhaul-Limited Massive-MIMO HetNets: User Association and Power Allocation

Liu

Derakhshani

Lambotharan

2017

GLOBECOM 2017 - 2017 IEEE Global Communications Conference

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With dual connectivity, a mobile user can be served by a macro base station (MBS) and a pico base station (PBS) simultaneously. In this paper, we address the problem of optimizing user-PBS association and power allocation in the uplink such that the network can serve the users' demand at the minimum cost, where the PBSs are subject to backhaul capacity limitations and minimum rate requirements of users. We show that this non-convex problem can be formulated as a signomial geometric programming (SGP) whose solution can be found by solving a series of geometric programming (GP) problems. Simulation results are provided to demonstrate traffic offloading trend to PBSs for different cost and backhaul capacity settings, confirming the effectiveness of the proposed iterative algorithm. They also show that the output of the proposed algorithm closely matches the global optimal solution with affordable complexity.

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Sum-rate maximizing cell association via dual-connectivity

Cited by 10 publications

References 4 publications

Exploiting dual connectivity in heterogeneous cellular networks

Exploiting dual connectivity in heterogeneous cellular networks

Optimal traffic splitting policy in LTE-based heterogeneous network

Dual Connectivity in Backhaul-Limited Massive-MIMO HetNets: User Association and Power Allocation

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