On Downlink Resource Allocation for SWIPT in Small Cells in a Two-Tier HetNet

Lohani, Sudha; Hossain, Ekram; Bhargava, V.K.

doi:10.1109/twc.2016.2606394

Cited by 44 publications

(21 citation statements)

References 25 publications

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“…The minimum data rate requirement in UL and DL for the nth UE are set as R u n = R d n = 2 bps/Hz. Other parameters such as the noise power and the sub-carrier bandwidth are set as −120 dBm and 180 KHz, similar to [9], [17], [21] and [38]. The default values of all parameters used in the simulations are summarized in Table II.…”

Section: Numerical Resultsmentioning

confidence: 99%

Energy Efficiency Maximization via Joint Sub-Carrier Assignment and Power Control for OFDMA Full Duplex Networks

Aslani

Rasti

Khalili

2019

IEEE Trans. Veh. Technol.

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In this paper, we develop an energy efficient resource allocation scheme for orthogonal frequency division multiple access (OFDMA) networks with in-band full-duplex (IBFD) communication between the base station and user equipments (UEs) considering a realistic self-interference (SI) model. Our primary aim is to maximize the system energy efficiency (EE) through a joint power control and sub-carrier assignment in both the downlink (DL) and uplink (UL), where the quality of service requirements of the UEs in DL and UL are guaranteed. The formulated problem is non-convex due to the non-linear fractional objective function and the non-convex feasible set which is generally intractable. In order to handle this difficulty, we first use fractional programming to transform the fractional objective function to the subtractive form. Then, by employing Dinkelbach method, we propose an iterative algorithm in which an inner problem is solved in each iteration. Applying majorization-minimization approximation, we make the inner problem convex. Also, by introducing a penalty function to handle integer sub-carrier assignment variables, we propose an iterative algorithm for addressing the inner problem. We show that our proposed algorithm converges to the locally optimal solution which is also demonstrated by our simulation results. In addition, simulation results show that by applying the IBFD capability in OFDMA networks with efficient SI cancellation techniques, our proposed resource allocation algorithm attains a 75% increase in the EE as compared to the half-duplex system. . His research interests include convex and non-convex optimization, resource allocation in wireless communication, Green communication, and mobile edge computing.

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Section: Numerical Resultsmentioning

confidence: 99%

Energy Efficiency Maximization via Joint Sub-Carrier Assignment and Power Control for OFDMA Full Duplex Networks

Aslani

Rasti

Khalili

2019

IEEE Trans. Veh. Technol.

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“…(2) Calculate j * according to (23); 10: (3) Use the j * to update xij according to (22); 11: (4) Update µj according to (25) (2) Update ∆pij according to (32), find the optimal step size δ4 (t) according to [35]; 22: (3) pij (t + 1) = pij (t) + δ4 (t) ∆pij ; a relatively fast convergence rate. Algorithm 1, by firstly fixing the power variable p ij to update the Lagrange multipliers and then updating the power variable p ij , is feasible for practical use.…”

Section: Iterative Gradient Algorithmmentioning

confidence: 99%

Energy Efficient User Association and Power Allocation in Millimeter-Wave-Based Ultra Dense Networks With Energy Harvesting Base Stations

Zhang

Huang

Jiang

et al. 2017

IEEE J. Select. Areas Commun.

401

183

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Millimeter wave (mmWave) communication technologies have recently emerged as an attractive solution to meet the exponentially increasing demand on mobile data traffic. Moreover, ultra dense networks (UDNs) combined with mmWave technology are expected to increase both energy efficiency and spectral efficiency. In this paper, user association and power allocation in mmWave based UDNs is considered with attention to load balance constraints, energy harvesting by base stations, user quality of service requirements, energy efficiency, and cross-tier interference limits. The joint user association and power optimization problem is modeled as a mixed-integer programming problem, which is then transformed into a convex optimization problem by relaxing the user association indicator and solved by Lagrangian dual decomposition. An iterative gradient user association and power allocation algorithm is proposed and shown to converge rapidly to an optimal point. The complexity of the proposed algorithm is analyzed and the effectiveness of the proposed scheme compared with existing methods is verified by simulations.Index Terms-Ultra dense networks, millimeter wave, energy harvesting, heterogeneous networks, user association, power allocation, load-balancing, energy efficiency.Haijun Zhang and Keping Long are with the Beijing Engineering and

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“…Then, a low-complexity zero forcing (ZF) beamforming algorithm is proposed. Later, the authors extend the SWIPT system to heterogeneous networks [27], where small cell BSs can harvest the energy from the macro BS. Based on this, a joint optimization energy harvesting rate and achievable throughput of small cell users is formulated, and then a sub-optimal iterative algorithm is proposed.…”

Section: A Related Workmentioning

confidence: 99%

Energy-Efficient Hybrid Precoding Design for Integrated Multicast-Unicast Millimeter Wave Communications With SWIPT

Hao

Sun

Zhou

et al. 2019

IEEE Trans. Veh. Technol.

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In this paper, we investigate the energy-efficient hybrid precoding design for integrated multicast-unicast millimeter wave (mmWave) system, where the simultaneous wireless information and power transform is considered at receivers. We adopt two sparse radio frequency chain antenna structures at the base station (BS), i.e., fully-connected and subarray structures, and design the codebook-based analog precoding according to the different structures. Then, we formulate a joint digital multicast, unicast precoding and power splitting ratio optimization problem to maximize the energy efficiency of the system, while the maximum transmit power at the BS and minimum harvested energy at receivers are considered. Due to its difficulty to directly solve the formulated problem, we equivalently transform the fractional objective function into a subtractive form one and propose a two-loop iterative algorithm to solve it. For the outer loop, the classic Bi-section iterative algorithm is applied. For the inner loop, we transform the formulated problem into a convex one by successive convex approximation techniques and propose an iterative algorithm to solve it. Meanwhile, to reduce the complexity of the inner loop, we develop a zero forcing (ZF) technique-based low complexity iterative algorithm. Specifically, the ZF technique is applied to cancel the inter-unicast interference and the first order Taylor approximation is used for the convexification of the non-convex constraints in the original problem. Finally, simulation results are provided to compare the performance of the proposed algorithms under different schemes.

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On Downlink Resource Allocation for SWIPT in Small Cells in a Two-Tier HetNet

Cited by 44 publications

References 25 publications

Energy Efficiency Maximization via Joint Sub-Carrier Assignment and Power Control for OFDMA Full Duplex Networks

Energy Efficiency Maximization via Joint Sub-Carrier Assignment and Power Control for OFDMA Full Duplex Networks

Energy Efficient User Association and Power Allocation in Millimeter-Wave-Based Ultra Dense Networks With Energy Harvesting Base Stations

Energy-Efficient Hybrid Precoding Design for Integrated Multicast-Unicast Millimeter Wave Communications With SWIPT

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