Joint user association, subchannel assignment, and power allocation in full‐duplex OFDMA heterogeneous networks

Firouzabadi, Abbas Dehghani; Rabiei, Amir Masoud

doi:10.1002/ett.3548

Cited by 9 publications

(19 citation statements)

References 33 publications

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“…Moreover, the number of active RF chains is optimized for each user to maximize EE whilst guaranteeing the minimum data rate. From (27), the transmitted power increases with more distributed UEs and decreased with the number of RF chains.…”

Section: F Unconstrained Ee Power Allocationmentioning

confidence: 99%

“…Other works focused on the user association and/or power allocation [23]- [27]. To achieve the desired power consumption depended on joint user association and power allocation with better loads and transmitted power constraints [23].…”

Section: Related Workmentioning

confidence: 99%

“…To allocate the user association with higher minimum-rate requirements, it is assumed that X j,k = 1 is the maximum user rates that can be adopted by solving the UE association with BSs. From optimization theory in [37], the effect of the data rate R j,k of UEs is associated with a number of antennas, j = 1, ....M , which can be formulated as the user rate association with maximizing the log utility of user rate as max [23]- [27]. Where R j,k = ln s jk is defined as the data rate.…”

Section: E Constrained Joint User Associationmentioning

confidence: 99%

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Energy-Efficient Power Allocation and Joint User Association in Multiuser-Downlink Massive MIMO System

et al. 2020

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Singular value decomposition is highly essential to achieve a higher performance in signal processing using massive multiple-input multiple-output (MIMO) systems. This paper aims to provide a solution to control power allocation problem identified as an essential metric in a massive MIMO system that maximizes energy efficiency (EE). The network performance was evaluated by measuring circuit power consumption to maximize EE. The computational efficiency to maximize EE power allocation is very important to fifth generation networks (5G). The study aims to maximize the non-convex EE in a downlink (DL) massive MIMO system using a proposed energy-efficient low-complexity algorithm (EELCA) that guarantees optimal power allocation solution based on Newton's methods and joint user's association based on the Lagrange's decomposition method. An optimal power allocation solution in closed form to decrease the complexity of the power subject to both the maximum power and minimum data rate constrained systems was derived. Then, the unconstrained EE power allocation to solve the unconstrained optimal power was used to select the optimal power allocation by computing a root of the first derivative of the EE based on differentiating the instantaneous power allocation to maximize EE was formulated. Simulation results showed that the proposed EELCA with a total transmitted power allocation provided maximum EE for a large number of antennas at the base station (BS), Generally, non-linear schemes outperformed linear schemes. Finally, the large cost of circuit power consumption increased at the BS due to the large loss of radio frequency (RF) chains at every antenna when the signals were transmitted to all users. The maximum EE = 5.9 Mbits/joule when the number of distributed users, K = 33, with (p c , M) = (1000mW, 200). The proposed low complexity algorithm provides the better result EE based on a training channel for a number of distributed users.

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Section: F Unconstrained Ee Power Allocationmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: E Constrained Joint User Associationmentioning

confidence: 99%

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Energy-Efficient Power Allocation and Joint User Association in Multiuser-Downlink Massive MIMO System

et al. 2020

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“…There have been several existing works on resource allocation and interference mitigation in HCNs to optimize the throughput of small cells 2‐7 and energy efficiency 8‐12 . In orthogonal frequency division multiple access (OFDMA) HCNs, the authors in Reference 2 proposed a joint subchannel and power allocation scheme to maximize the sum rate of all users in small cells with consideration of different services requirements and the cross‐tier interference limitation.…”

Section: Introductionmentioning

confidence: 99%

“…In Reference 3, the authors proposed a cluster based joint subchannel and power allocation framework to avoid the co‐tier interference and guarantee hierarchical throughput requirements of different small cells. Also in OFDMA HCNs, the authors in Reference 4 studied joint user association, subchannel and power allocation with full‐duplex communication manner. A robust multiple‐leader and multiple‐follower Stackelberg game was formulated in Reference 5 to investigate power control in two‐tier HCNs under different interference constraints.…”

Section: Introductionmentioning

confidence: 99%

Joint resource block and power allocation in heterogeneous cellular networks with different backhaul capacity limitations

Zheng

2020

Trans Emerging Tel Tech

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In heterogeneous cellular networks (HCNs), the growing demand of small cell data traffic puts great pressure on the capacity limited backhaul links. Resource allocation is an efficient approach to mitigate the severe interference and improve the network performance in HCNs. However, differentiated backhaul capacity constraints introduce the inherent nonconvexity to the resource optimization problem, which hinders the development of the optimal solutions. In this article, we investigate the joint resource block (RB) and power allocation problem under two different backhaul capacity limitations. First, we consider the small cell backhaul limitation scenario where the backhaul capacity constraint is imposed on each small cell. Then, we extend the resource optimization to the macrocell base station backhaul limitation scenario which considers the overall backhaul capacity constraint on the whole small cell network. Besides, the quality of service (QoS) requirements of users and the cross‐tier interference mitigation are also considered. This resource allocation problem is formulated as a nonconvex mixed‐integer nonlinear programming (MINLP) problem. By variable substitution and constraints relaxation, we convert the original optimization problem into a convex one and obtain the optimal solutions. Accordingly, joint RB and power allocation algorithms are proposed. Numerical results verify the effectiveness of the proposed algorithms and evaluate the impact of different types of backhaul capacity limitations on system performance.

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Optimization of handoff for joint uplink base station association and power control with max‐min fairness in NOMA small‐cell networks

Pirnia,

Bakhshi,

Dosaranian‐Moghadam

et al. 2024

Int J Communication

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SummaryThe handoff rate and load balancing are two important issues that have a great impact on the spectrum and energy efficiency in the small‐cell networks (SCN). This paper investigates the handoff optimization in SCN with power‐domain non‐orthogonal multiple access (NOMA) that uses successive interference cancelation (SIC), considering the fairness among base stations (BSs). We study the joint base station association and power control problem by considering the motion of mobile users (MUs) and load balancing in the SCNs. Under the maximum allowable transmit power and minimum average‐rate constraints, two optimization problems are formulated using the number of associated MUs, the number of handoffs, and the transmit power of all MUs. The total power consumption minimization and the system‐wide and handoff utility maximization problems are combined into a single‐stage optimization problem through the weighted‐sum method. We solve the formulated problem using a game theory‐based algorithm and primal decomposition theory. The simulation results show that our proposed algorithm can significantly reduce the frequent handoffs and bring a fair power‐controlled BS association in SCN.

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Joint user association, subchannel assignment, and power allocation in full‐duplex OFDMA heterogeneous networks

Cited by 9 publications

References 33 publications

Energy-Efficient Power Allocation and Joint User Association in Multiuser-Downlink Massive MIMO System

Energy-Efficient Power Allocation and Joint User Association in Multiuser-Downlink Massive MIMO System

Joint resource block and power allocation in heterogeneous cellular networks with different backhaul capacity limitations

Optimization of handoff for joint uplink base station association and power control with max‐min fairness in NOMA small‐cell networks

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