Tier‐aware joint subchannel and power allocation in uplink OFDMA heterogeneous networks

Rajabi, Hamed; Rasti, Mehdi; Pedram, Hossein; Yousefpour, Rohollah

doi:10.1002/ett.3553

Cited by 2 publications

(2 citation statements)

References 30 publications

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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 6, joint subchannel and power allocation was studied together with user association to maximize the throughput of the whole network. The authors in Reference 7 studied the tier‐aware resource allocation in a two‐tier OFDMA HCN, where joint subchannel and power allocation were optimized to maximize the aggregate tolerable cross‐tier interference in macrocell tier and throughput of small cell tier, respectively.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Introductionmentioning

confidence: 99%

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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Joint subchannel assignment and power control in OFDMA in‐band full‐duplex heterogeneous networks

Rajabi

Rasti

Pedram

et al. 2020

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Among the emerging technologies for the fifth‐generation (5G) cellular networks, in‐band full‐duplex (FD) wireless communication and heterogeneous networks (HetNets) are two promising technologies, which can significantly improve the network capacity. Due to self‐interference (SI) and multiple sources of intercell interference, base station (BS)‐BS interference and user equipment (UE)‐UE interference in FD HetNets, interference management is a significant and challenging issue in such a network. To this end, in this article, we study the joint subchannel assignment and power control problem in the OFDMA FD HetNet. The joint subchannel assignment and power control problem in this network is formulated as an optimization problem to maximize the uplink and downlink sum throughput of the femtocell user equipments (FUEs) taking into account the maximum interference constraint imposed on the macrocell user equipments (MUEs) and the minimum throughput constraint of FUEs. Since the formulated problem is a nonconvex and intractable mixed integer nonlinear programming (MINLP) problem, we invoke variable change and linear approximation to reformulate and convert the problem into a tractable mixed‐integer linear programming (MILP) problem. Numerical results show that the optimal solution of the new MILP problem is very close to the optimal objective value of the original MINLP problem. The results also demonstrate that in an OFDMA FD HetNet, when all the UEs and the BSs are FD, approximately 50% improvement in the network throughputcan be achieved compared with a half‐duplex HetNet.

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Tier‐aware joint subchannel and power allocation in uplink OFDMA heterogeneous networks

Cited by 2 publications

References 30 publications

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

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

Joint subchannel assignment and power control in OFDMA in‐band full‐duplex heterogeneous networks

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