TY - JOUR
T1 - Spectral-Energy Efficiency Trade-Off Based Design for Hybrid TDMA-NOMA System
AU - Wei, Xinchen
AU - Al-Obiedollah, Haitham
AU - Cumanan, Kanapathippillai
AU - Wang, Wei
AU - Ding, Zhiguo
AU - Dobre, Octavia A.
N1 - Funding Information:
This work of Wei Wang was supported in part by the Future Network Scientific Research Fund Project under Grant FNSRFP-2021-YB-42 and in part by the Science and Technology Program of Nantong under Grant JC2021016. The work of Octavia A. Dobre was supported in part by theNatural Sciences and EngineeringResearch Council of Canada (NSERC), through its Discovery program.
Publisher Copyright:
© 1967-2012 IEEE.
PY - 2022/3/1
Y1 - 2022/3/1
N2 - The combination of time division multiple access (TDMA) and non-orthogonal multiple access (NOMA), referred to as hybrid TDMA-NOMA system, is considered as a potential solution to meet the unprecedented requirements for future wireless networks. While recent resource allocation techniques aiming to individually maximize either spectral efficiency (SE) or energy efficiency (EE), this paper considers an SE-EE trade-off based technique for a hybrid TDMA-NOMA system. This design offers an additional degree of freedom in resource allocation. The proposed design is formulated as a non-convex multi-objective optimization (MOO) problem. The MOO framework is reformulated as a single-objective optimization (SOO) problem by combining the multi-objectives through a weighted-sum objective function. With this, each of the original objectives is assigned with a weight factor to reflect its importance in the design. Then, the sequential convex approximation (SCA) and a second-order cone (SOC) approach are jointly utilized to deal with the non-convexity issues of the SOO problem. Simulation results reveal that the proposed trade-off based design strikes a good balance between the objective functions, while meeting the instantaneous requirements of the system.
AB - The combination of time division multiple access (TDMA) and non-orthogonal multiple access (NOMA), referred to as hybrid TDMA-NOMA system, is considered as a potential solution to meet the unprecedented requirements for future wireless networks. While recent resource allocation techniques aiming to individually maximize either spectral efficiency (SE) or energy efficiency (EE), this paper considers an SE-EE trade-off based technique for a hybrid TDMA-NOMA system. This design offers an additional degree of freedom in resource allocation. The proposed design is formulated as a non-convex multi-objective optimization (MOO) problem. The MOO framework is reformulated as a single-objective optimization (SOO) problem by combining the multi-objectives through a weighted-sum objective function. With this, each of the original objectives is assigned with a weight factor to reflect its importance in the design. Then, the sequential convex approximation (SCA) and a second-order cone (SOC) approach are jointly utilized to deal with the non-convexity issues of the SOO problem. Simulation results reveal that the proposed trade-off based design strikes a good balance between the objective functions, while meeting the instantaneous requirements of the system.
KW - Energy efficiency (EE)
KW - multi-objective optimization (MOO)
KW - NOMA
KW - spectral efficiency (SE)
KW - TDMA
UR - http://www.scopus.com/inward/record.url?scp=85122882681&partnerID=8YFLogxK
U2 - 10.1109/TVT.2022.3141969
DO - 10.1109/TVT.2022.3141969
M3 - Article
AN - SCOPUS:85122882681
SN - 0018-9545
VL - 71
SP - 3377
EP - 3382
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 3
ER -
