TY - JOUR
T1 - Compressive sensing based spectrum allocation and power control for Noma hetnets
AU - Nasser, Ahmed
AU - Muta, Osamu
AU - Elsabrouty, Maha
AU - Gacanin, Haris
N1 - Funding Information:
This work was financially supported and was done as a part of the research project Japan-Society-for-the-Promotion-of-Science (JSPS) KAKENHI under Grant JP17K06427. Also, this work was supported by the Center for Japan-Egypt Cooperation in Science and Technology, in part by Kyushu University, in part by the National Telecom Regulatory Authority (NTRA) (Super-HETs, Empowering 5G HetNets for better Performance), and in part by the Egyptian Ministry of Higher Education (MOHE).
Publisher Copyright:
© 2019 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.
PY - 2019
Y1 - 2019
N2 - 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 l1-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 l1-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.
AB - 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 l1-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 l1-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.
UR - http://www.scopus.com/inward/record.url?scp=85082302357&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85082302357&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2019.2929185
DO - 10.1109/ACCESS.2019.2929185
M3 - Article
AN - SCOPUS:85082302357
SN - 2169-3536
VL - 7
SP - 98495
EP - 98506
JO - IEEE Access
JF - IEEE Access
M1 - 8764422
ER -