Downlink interference penalty algorithm for power control, scheduling, and user association

Francis, Jobin; Kalyanasundaram, Suresh; Natarajan, Balamurali; Agrawal, Rajeev; Mehta, Neelesh B.

doi:10.1109/wiopt.2015.7151112

Cited by 3 publications

(3 citation statements)

References 18 publications

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“…By solving the dual problem, the best BS associated with the nth UE as follows m * = arg max m (ln(r m,n ) + a n (t 1 )γ m,n − ln(P sum n )). (17) It means that the nth UE will associate with the mth BS, i.e.…”

Section: A the Solution For Proportional Fairness Problemmentioning

confidence: 99%

“…Thus, the joint user association and power control problem is investigated in the following works. For instance, to maximize the weighted sum-rate, the authors in [17] studied the problem of jointly optimizing the transmit power, user scheduling and user association in cellular networks based on a distributed interference penalty algorithm. [18] proposed a joint power control and user association algorithm to maximize the weighted sum-rate for the downlink transmission in multi-cell multi-association orthogonal frequency division multiple access (OFDMA) HetNets.…”

Section: Introductionmentioning

confidence: 99%

“…In our previous work [24], we also proposed a user association scheme and a power control algorithm to improve the average EE of all the users in HetNets. However, the aforementioned works [17]- [23] focus on the spectral efficiency or power consumption problems, and do not take the fairness issues among UEs into account.…”

Section: Introductionmentioning

confidence: 99%

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Fairness-Driven Energy Efficient Resource Allocation in Uplink MIMO Enabled HetNets

et al. 2020

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Heterogeneous network (HetNet) is a promising solution to meeting the unprecedented demand for higher data rate in the next generation mobile networks. Compared with the traditional single-layer cellular networks, the resource management (e.g., user association and power control problems) is more challenging in the multi-tier HetNets. In addition, due to the new application scenarios and battery-limited nature of the user equipment (UE), improving energy efficiency (EE) of individual while ensuring EE fairness among UEs is one of the key design issues in the uplink HetNets. In this paper, by considering the fairness for EE, joint user association and power control problems are studied in the uplink multiple input multiple output (MIMO) enabled HetNets. Under the quality of service (QoS) and transmit power constraints of UE, two kinds of fairness, namely, proportional fairness and max-min fairness, are investigated. The optimization problems of maximizing the EE are formulated by considering the fairness among UEs. Considering the non-convex characteristic of the problem, the formulated problem is divided into two subproblems, i.e., user association and power control subproblems, then an iterative algorithm is proposed to achieve the fair EE resource allocation for each fairness criterion until convergence. For the proportional fairness problem, the dual decomposition and Newton methods are applied. Then, by using successive convex approximation (SCA) and dual decomposition, the problem of max-min fairness is solved. Through both theoretical analysis and simulations, the convergence and the effectiveness of the proposed algorithms are proved and evaluated. Simulation results show that the proposed algorithms can significantly improve the average EE of users.

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Section: A the Solution For Proportional Fairness Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%