A Novel Performance Tradeoff in Heterogeneous Networks: A Multi-Objective Approach

Mili, Mohammad Robat; Khalili, Ata; Ng, Derrick Wing Kwan; Steendam, Heidi

doi:10.1109/lwc.2019.2919565

Cited by 15 publications

(14 citation statements)

References 12 publications

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“…In [25], the authors have proposed a joint resource block (RB) and power allocation algorithm for OFDMA-based femtocell HetNets, where they aim to maximize the weighted sum of the individual energy efficiencies and the network energy efficiency. In [26], an energy efficiency maximization problem has been formulated as a multi-objective optimization problem for subchannel assignment and power allocation in an OFDMA HetNet. In [27], energy-efficient beamforming design and power allocation for both macro cells and SCs has been addressed considering user QoS requirements and transmit power budget constraints.…”

Section: A Related Workmentioning

confidence: 99%

“…For fixed ↵, , µ, and ", the problem can be solved utilizing the Karush-Kuhn-Tucker (KKT) conditions [70], [71]. The optimal value of p s,n,b is then obtained by making the partial derivatives of L with respect to p s,n,b equal to zero, which Algorithm 2 Dinkelbach method for EE maximization 1: Initialize the convergence threshold th ; 2: Set i = 1 and " (1) = 0; 3: For initial " (1) , obtain C(p (1) ) and P (p (1) ) by solving the problem in (24) using (26) and (27); 4: while [C(p (i) ) " (i) P (p (i) ) < th ] do 5:…”

Section: A Solution Of the Inner Loop Problemmentioning

confidence: 99%

“…(Inner Loop): Solve the resource allocation problem in (24) using (26) and (27) with " (i 1) to obtain the optimal solution p ⇤(i) ; 7:…”

Section: A Solution Of the Inner Loop Problemmentioning

confidence: 99%

See 2 more Smart Citations

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%

Section: A Solution Of the Inner Loop Problemmentioning

confidence: 99%

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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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“…where t 0 is the initial point, 0 ≤ 1 is the stopping criterion, and µ is used for updating the accuracy of the method [17], [25]. Path loss exponent 3…”

Section: B Computational Complexity Analysismentioning

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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“…The MOOP framework studies the correlation between conflicting objectives in wireless systems [14]- [16]. In this regard, a MOOP tradeoff was studied in [14] to compromise between EE and SE.…”

Section: Introductionmentioning

confidence: 99%

Optimal Multi-Objective Resource Allocation for D2D Underlaying Cellular Networks in Uplink Communications

et al. 2021

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In this paper, we study a resource allocation problem in orthogonal frequency division multiple access (OFDMA)-based Device-to-Device (D2D) communications. To this end, we propose a multi-objective optimization problem (MOOP) framework, which jointly maximizes the sum rate of D2D users (DUs) and cellular users (CUs) in uplink communications and minimizes the total transmit power. The proposed problem formulation takes into account the minimum data-rates and the maximum transmitted power budget for both DUs and CUs. We transform this MOOP into a single-objective optimization problem (SOOP) using the weighted sum method and then propose an approach to solve this SOOP via a monotonic approach yielding an efficient optimal solution. Furthermore, a suboptimal solution based on the successive convex approximation (SCA) is presented to compromise complexity and performance gain. This is done to reveal that the proposed suboptimal solution closely approaches an optimal solution through simulation analysis. Numerical results unveil an interesting tradeoff between D2Ds CUs and demonstrate the superiority of our proposed solution compared to other baseline schemes.

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A Novel Performance Tradeoff in Heterogeneous Networks: A Multi-Objective Approach

Cited by 15 publications

References 12 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

Optimal Multi-Objective Resource Allocation for D2D Underlaying Cellular Networks in Uplink Communications

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