Joint User Association and Resource Allocation in the Uplink of Heterogeneous Networks

Khalili, Ata; Akhlaghi, Soroush; Tabassum, Hina; Ng, Derrick Wing Kwan

doi:10.1109/lwc.2020.2970696

Cited by 56 publications

(30 citation statements)

References 14 publications

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“…Then, an EEmax problem was solved for optimal power allocation using Lagrangian duality. The authors of [36] have considered the problem of joint user association, carrier allocation, antenna selection, and power control in the uplink of a MIMO HetNet to maximize the data rate of small cell users, by imposing a maximum threshold on the cross-tier interference. By decomposing the original problem into two subproblems and finding an iterative solution, a locally optimal solution has been obtained.…”

Section: A Related Workmentioning

confidence: 99%

Energy-Efficient Resource Allocation in Single-RF Load-Modulated Massive MIMO HetNets

Ataeeshojai

Elliott

Krzymien

et al. 2020

IEEE Open J. Commun. Soc.

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Due to the dramatic increase in wireless data traffic and the associated increase in energy consumption, designing energy-efficient wireless networks with improved spectral efficiency is a pressing concern. The focus of this paper is the design of a green, highly energy-efficient cellular heterogeneous network (HetNet) by taking advantage of multiple-input-multiple-output (MIMO) structure and deployment of small cells. We consider the downlink of a two-tier HetNet, in which multiple-antenna small cells are coordinated to serve users. Even though the deployment of MIMO together with small cells improves the communication system's performance in terms of data rate and reliability, circuit energy consumption in such a network is a critical issue. To address this, an energy-efficient antenna selection and radio resource block assignment algorithm is proposed for the small cells, and a single radio-frequency (RF) chain structure is considered for the massive MIMO macro base station. Then, while coordinating transmissions between cells subject to user-centric clustering, an energy-efficient beamforming design and power allocation optimization problem with respect to the quality of service requirement of users, transmit power budget of base stations, and fronthaul capacity is formulated; the problem is solved using the Dinkelbach method. Simulation results demonstrate the performance potential of our proposed algorithm in terms of energy efficiency and spectral efficiency.

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Section: A Related Workmentioning

confidence: 99%

Energy-Efficient Resource Allocation in Single-RF Load-Modulated Massive MIMO HetNets

Ataeeshojai

Elliott

Krzymien

et al. 2020

IEEE Open J. Commun. Soc.

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“…This binary variable turns (15) into a MINLP, which is difficult to solve in an acceptable time span. To address this issue, we take an approach similar to [21], [22], and replace constraint C 6 with the following inequalities:…”

Section: Equivalent Reformulation Of Binary Constraintsmentioning

confidence: 99%

Multi-Objective Energy Efficient Resource Allocation and User Association for In-Band Full Duplex Small-Cells

Zarandi

Khalili

Rasti

et al. 2020

IEEE Trans. on Green Commun. Netw.

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In this paper, we develop a framework to maximize the network energy efficiency (EE) by optimizing joint userbase station (BS) association, subchannel assignment, and power control considering an in-band full-duplex (IBFD)-enabled smallcell network. We maximize EE (ratio of network aggregate throughput and power consumption) while guaranteeing a minimum data rate requirement in both the uplink and downlink. The considered problem belongs to the category of mixed-integer non-linear programming problem (MINLP), and thus is NPhard. To cope up with this complexity and to derive a tradeoff between system throughput and energy utilization, we first restate the considered problem as a multi-objective optimization problem (MOOP) aiming at maximizing system's throughput and minimizing system's energy consumption, simultaneously. This MOOP is then tackled by using-constraint method. To do so, we first transform the binary subchannel and BS assignment variables into continuous ones without altering the feasible region of the problem and then approximate the nonconvex rate functions through majorization-minimization (MM) approach. Simulation results are presented to demonstrate the effectiveness of our proposed algorithm in improving network's EE compared to the existing literature. Furthermore, simulation results unveil that by employing the IBFD capability in OFDMA networks, our proposed resource allocation algorithm achieves a 69% improvement in the EE as compared to the half-duplex system for practical values of residual self-interference.

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“…Content may change prior to final publication. Citation information: DOI 10.1109/ACCESS.2020.3032661, IEEE Access restate this constraint as the intersection of the two following regions [38], [43]:…”

Section: Proposed Solutionmentioning

confidence: 99%

“…But, R 2 is still non-convex and is a reverse convex function which makes the optimization problem nonconvex form. To tackle it, we adopt Abstract Lagrangian model and we restate the objective function [38], [43], [44]. Next, we handle the non-convex constraint C 7 via introducing scalar slack variable ξ n j,k,i .…”

Section: Proposed Solutionmentioning

confidence: 99%

“…Then, all BSs send the CSI to the MBS for resource allocation. In particular, each BS sends some orthogonal preambles in the downlink to the users and obtains the CSI by listening to the sounding reference signals transmitted by the users[37],[38] 3 Note that we omitted here interference induced by energy signals due to large distance between each BS from another cell to desired users.…”

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confidence: 99%

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Resource Allocation for MC MISO-NOMA SWIPT-Enabled HetNets With Non-Linear Energy Harvesting

2020

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This paper proposes a resource allocation for multi carrier (MC) multiple input single output (MISO) non-orthogonal multiple access (NOMA) enabling simultaneous wireless information and power transfer (SWIPT) where a separated architecture (SA)-based heterogeneous network (HetNet) is considered. More precisely, we focus on designing MC MISO-NOMA scheme in HetNets, where each base stations (BSs) serves multiple information decoding (ID) and energy harvesting (EH) users with a non-linear energy harvesting model which are equipped with multi antennas. For this configuration, we propose a joint subcarrier assignment, beamforming design, and energy beamforming to maximize the total rate of the network. Moreover, we take into account the condition of cross-layer interference constraints to coordinate interference, satisfying a minimum data rate requirement, fulfilling a minimum harvested energy, and respecting the maximum allowed power transfer constraints. We also consider successive interference cancellation (SIC) decoding order to detect the signal of each user due to coupling between SIC order, beamforming design, and subcarrier allocation. As a result of interference in the rate function, our optimization problem is non-convex and thus challenging to solve. Subsequently, first we adopt semidefinite relaxation (SDR) for beamforming design and then an efficient algorithm via the majorization minimization (MM) approach based on the difference of convex (DC) programming is proposed to obtain a locally optimal solution for the original problem. Simulation results reveal the superiority of our proposed scheme as compared to other existing works addressed in the literature. INDEX TERMS Multi carrier (MC), multiple input single output (MISO), non-orthogonal multiple access (NOMA), simultaneous wireless information and power transfer (SWIPT), subcarrier assignment, beamforming design, and successive interference cancellation (SIC).

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Joint User Association and Resource Allocation in the Uplink of Heterogeneous Networks

Cited by 56 publications

References 14 publications

Energy-Efficient Resource Allocation in Single-RF Load-Modulated Massive MIMO HetNets

Energy-Efficient Resource Allocation in Single-RF Load-Modulated Massive MIMO HetNets

Multi-Objective Energy Efficient Resource Allocation and User Association for In-Band Full Duplex Small-Cells

Resource Allocation for MC MISO-NOMA SWIPT-Enabled HetNets With Non-Linear Energy Harvesting

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