Energy-Efficient Resource Allocation for NOMA Based Small Cell Networks With Wireless BackhaulsShow others and affiliations
2020 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 68, no 6, p. 3766-3781Article in journal (Refereed) Published
Abstract [en]
In this paper, we consider a downlink non-orthogonal multiple access (NOMA) enabled heterogeneous small cells network (HSCN), where the macro base station simultaneously communicates with multiple small cell base stations (SBSs) through wireless backhaul. In each small cell, users are grouped by NOMA bases and then served by their respective SBS. The proposed framework considers the realistic imperfect channel state information and quality of service requirements of users. The goal is to investigate an energy-efficient joint power, and bandwidth allocation scheme, which aims to maximize the energy efficiency (EE) of the small cells in downlink NOMA-HSCN constrained by the maximum transmit power and the minimum required data rate simultaneously. The optimization problem is non-convex due to the fractional objective function and non-convex constraint and thus challenging to obtain an exact solution efficiently. To this end, the joint optimization is first decomposed into two subproblems. Then, an iterative algorithm to solve the power optimization subproblem is proposed with guaranteed convergence. Furthermore, we derive a closed-form solution for the bandwidth allocation subproblem. Simulation results reveal that the effectiveness of the proposed schemes in terms of EE compared to the existing NOMA and the orthogonal multiple access schemes.
Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2020. Vol. 68, no 6, p. 3766-3781
Keywords [en]
NOMA; Resource management; Wireless communication; Optimization; Channel allocation; Downlink; Microcell networks; Non-orthogonal multiple access; successive interference cancellation; bandwidth allocation; energy efficiency; power allocation
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-167685DOI: 10.1109/TCOMM.2020.2979971ISI: 000543389800038OAI: oai:DiVA.org:liu-167685DiVA, id: diva2:1454705
Note
Funding Agencies|National Natural Science Foundation of ChinaNational Natural Science Foundation of China [U1734209, U1709219]; Marie Curie FellowshipEuropean Union (EU) [792406]; NSFC China-Swedish projectNational Natural Science Foundation of China [6161101297]; 111 ProjectMinistry of Education, China - 111 Project [111-2-14]; NSFC ProjectNational Natural Science Foundation of China [61871334]; STINT Joint China-Sweden Mobility Program
2020-07-202020-07-202020-07-20