Game-Based Power Control for Downlink Non-Orthogonal Multiple Access in HetNets

Zhang, Yueyue; Zhu, Yaping; Xia, Weiwei; Shen, Fei; Zuo, Xuzhou; Yan, Feng; Shen, Lianfeng

doi:10.1109/glocom.2018.8647230

Cited by 7 publications

(15 citation statements)

References 16 publications

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“…Authors in [15] propose a user clustering technique with a dual Lagrangian algorithm for power allocation in NOMA HetNets, while authors in [18] develop a mixed-integer programming framework for joint power allocation and user association in NOMA HetNets. Moreover, some works turned toward using the game theory to maximize the sum rate of NOMA HetNets systems by optimizing the allocated power to the BSs as in [7], [16], [17], where a non-cooperative game is proposed in [16], [17], while Stackelberg game is suggested in [7]. However, both [7], [16] consider only one small cell, and thus the co-tier interference has not been taken into account.…”

Section: Related Workmentioning

confidence: 99%

“…Moreover, some works turned toward using the game theory to maximize the sum rate of NOMA HetNets systems by optimizing the allocated power to the BSs as in [7], [16], [17], where a non-cooperative game is proposed in [16], [17], while Stackelberg game is suggested in [7]. However, both [7], [16] consider only one small cell, and thus the co-tier interference has not been taken into account. Besides, the SBS is unfairly treated against the MBS in terms of sum rate due to the leaderfollower role of the Stackelberg game.…”

Section: Related Workmentioning

confidence: 99%

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Compressive Sensing Based Spectrum Allocation and Power Control for NOMA HetNets

et al. 2019

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In this paper, a novel interference management technique based on compressive sensing (CS) theory is investigated for downlink non-orthogonal multiple access (NOMA) heterogeneous networks (HetNets). We mathematically formulate the interference management problem in terms of power and resource blocks (RBs) allocation to maximize the overall sum rate while considering both co-tier and crosstier interferences and then explain its non-convexity. In this paper, we exploit the sparsity of the allocated RBs to relax the non-convexity of the formulated problem by transforming it into a sparse l 1 -norm problem for a near-optimum solution. Then, based on the CS theory, an interference management technique with a restricted weighted fast iterative shrinkage-thresholding (R-WFISTA) algorithm is proposed to solve the equivalent sparse l 1 -norm problem. The simulation results verify that compared with the conventional orthogonal multiple access (OMA) HetNets and conventional NOMA HetNets, the proposed technique improves the system performance in terms of overall sum rate and the outage probability. INDEX TERMSCompressive sensing (CS), heterogeneous networks (HetNets), non-orthogonal multiple access (NOMA), power allocation (PA), sparsity.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Compressive Sensing Based Spectrum Allocation and Power Control for NOMA HetNets

et al. 2019

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“…In [24], a contract-theory-based solution is derived for optimizing the use of mobile relays in the cooperative NOMA system, and in [25], a similar solution is proposed for optimizing user association and resource allocation for NOMA in HetNets. Similarly, to use NOMA in HetNets, some game theory and Stackelberg game-based economic approaches are proposed for different purposes in [26][27][28]. The existing works mainly focus on the integration of NOMA in Het-Nets or on the user power allocation enhancement with ideal SIC conditions.…”

Section: Introductionmentioning

confidence: 99%

Walsh–Hadamard Transform Based Non-Orthogonal Multiple Access (NOMA) and Interference Rejection Combining in Next-Generation HetNets

Usman

Shin

et al. 2021

Mathematics

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In heterogeneous networks (HetNets), non-orthogonal multiple access (NOMA) has recently been proposed for hybrid-access small-cells, promising a manifold network capacity compared to OMA. One of the major issues with the installation of a hybrid-access mechanism in small-cells is the cross-tier interference (intercell interference (ICI)) caused by the macrocell users (MUs) that are unable to establish a connection to the small-cell base station (SBS). In this paper, a joint strategy is proposed for hybrid-access small-cells using the Walsh–Hadamard transform (WHT) with NOMA and interference rejection combining (IRC) to achieve high performance gains and mitigate intercell interference (ICI), respectively. WHT is applied mathematically as an orthogonal variable spreading factor (OVSF) to achieve diversity in communication systems. When applied jointly with NOMA, it ensures better performance gains than the conventional NOMA. It reduces the bit error rate (BER) and enhances subsequent throughput performance of the system. IRC is used at the receiver side for managing the cross-tier interference caused by MUs that are unable to connect to the small-cell base station (SBS) for hybrid-access. The work considers both ideal and nonideal successive interference cancellation (SIC) conditions for NOMA. Mathematical modeling is provided for the proposed joint strategy for HetNets and the results validate it in terms of BER and subsequent user throughput performance, compared to the conventional NOMA approach.

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“…One way to manage both co-tier and cross-tier interference is to control the allocated power to the adopted BSs in NOMA HetNets such that each BS transmits a proper power level to sustain its users' QoS without causing excessive interference to users of other cells [8], [9]. However, the power control problem can itself be a dilemma since adjusting the transmitted power has a contradictory effect on both SE and EE [10], [11].…”

Section: Introductionmentioning

confidence: 99%

“…Among different techniques for PC, utilizing the non-cooperative (NC) game can reduce the complexity of the PC without significantly increasing the required signaling sharing overhead among different cells. The NC game based PC has been proposed to maximize only EE in [8] or only SE in [9]. However, the NC game has not been adopted before to jointly maximize both EE and SE.…”

Section: Introductionmentioning

confidence: 99%

Non-Cooperative Game Based Power Allocation for Energy and Spectrum Efficient Downlink NOMA HetNets

Nasser¹,

Muta

Gacanin

et al. 2021

IEEE Access

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In this paper, the tradeoff between spectrum efficiency (SE) and energy efficiency (EE) is investigated in terms of interference management and power allocation for heterogeneous networks (HetNets) with non-orthogonal multiple access (NOMA). The EE and SE tradeoff is modeled as a multiobjective problem (MOP) under the maximum power and quality of service (QoS) constraints, which is non-convex. The MOP is relaxed into a convex single objective problem (SOP) by adopting a weighted sum strategy with the hypograph transformation. The SOP is solved in two steps. In the first step, we propose a power allocation technique based on non-cooperative (NC) game for EE and SE in NOMA HetNets. In the proposed NC game, the macro base station (MBS) and the small BSs (SBSs) compete with an equal priority in order to optimize their transmit powers towards maximizing the weighted sum of SE and EE. In the second step, a closed-form formula is proposed to control the power allocated to users taking into account both QoS constraint and successive interference cancellation (SIC) condition. From simulations, the proposed technique can, in some dedicated settings, considerably improve the tradeoff between EE and SE over conventional techniques.INDEX TERMS Heterogeneous networks (HetNets), energy efficiency (EE), spectrum efficiency (SE), interference mitigation, power control (PC), non-cooperative (NC) game .

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Game-Based Power Control for Downlink Non-Orthogonal Multiple Access in HetNets

Cited by 7 publications

References 16 publications

Compressive Sensing Based Spectrum Allocation and Power Control for NOMA HetNets

Compressive Sensing Based Spectrum Allocation and Power Control for NOMA HetNets

Walsh–Hadamard Transform Based Non-Orthogonal Multiple Access (NOMA) and Interference Rejection Combining in Next-Generation HetNets

Non-Cooperative Game Based Power Allocation for Energy and Spectrum Efficient Downlink NOMA HetNets

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