Abstract
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 cross-tier 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.
Highlights
In the past years, heterogeneous networks (HetNets) are employed to improve coverage and sum rate of the cellular system by introducing overlapping tiers of small cells (SCs) that can co-exist in the coverage area of macro cell (MC) tier [1]
This paper proposes a novel interference management technique based on compressive sensing (CS) with the joint allocation of power and resource blocks (RBs) in non-orthogonal multiple access (NOMA) HetNets
PROPOSED RESOURCE AND POWER ALLOCATION SCHEME BASED ON COMPRESSIVE SENSING In HetNets, due to the insufficient number of available RBs compared to the number of the underlaid small BS (SBS), i.e., NRB NSC, a limited number of SBSs should be active in a dedicated RB
Summary
Heterogeneous networks (HetNets) are employed to improve coverage and sum rate of the cellular system by introducing overlapping tiers of small cells (SCs) that can co-exist in the coverage area of macro cell (MC) tier [1]. One way to manage the co-tier and crosstier interference in NOMA HetNets is to limit the number of BSs that share the same RBs [4]. This paper proposes a novel interference management technique based on compressive sensing (CS) with the joint allocation of power and RBs in NOMA HetNets. We formulate the joint allocation of power and RBs problem to maximize the overall sum rate of NOMA HetNets while considering both co-tier and cross-tier. Based on CS theory, we propose an interference management technique for NOMA HetNets with restricted weighted fast iterative shrinkage-thresholding (R-WFISTA) algorithm, where the power allocation to the BSs is restricted below a pre-determined upper bound.
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