R. Hashemi, H. Beyranvand, M. R. Mili, A. Khalili, H. Tabassum and D. W. K. Ng, "Energy Efficiency Maximization in the Uplink Delta-OMA Networks," in IEEE Transactions on Vehicular Technology, vol. 70, no. 9, pp. 9566-9571, Sept. 2021, doi: 10.1109/TVT.2021.3097128
Energy efficiency maximization in the uplink Delta-OMA networks
|Author:||Hashemi, Ramin1,2; Beyranvand, Hamzeh1; Mili, Mohammad Robat3;|
1Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran
2Centre for Wireless Communications (CWC), University of Oulu, Oulu, Finland
3Islamic Azad University, Tehran, Iran
4Electronics Research Institute, Sharif University of Technology, Tehran, Iran
5Lassonde School of Engineering, York University, Toronto, ON, Canada
6School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia
|Online Access:||PDF Full Text (PDF, 0.6 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2021122162468
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2021-12-21
Delta-orthogonal multiple access (D-OMA) has been recently investigated as a potential technique to enhance the spectral efficiency in the sixth-generation (6G) networks. D-OMA enables partial overlapping of the adjacent sub-channels that are assigned to different clusters of users served by non-orthogonal multiple access (NOMA), at the expense of additional interference. In this paper, we analyze the performance of D-OMA in the uplink and develop a multi-objective optimization framework to maximize the uplink energy efficiency (EE) in a multi-access point (AP) network enabled by D-OMA. Specifically, we optimize the sub-channel and transmit power allocations of the users as well as the overlapping percentage of the spectrum between the adjacent sub-channels. The formulated problem is a mixed binary non-linear programming problem. Therefore, to address the challenge we first transform the problem into a single-objective problem using Tchebycheff method. Then, we apply the monotonic optimization (MO) to explore the hidden monotonicity of the objective function and constraints, and reformulate the problem into a standard MO in canonical form. The reformulated problem can be solved by applying the outer polyblock approximation method. Our numerical results show that D-OMA outperforms the conventional non-orthogonal multiple access (NOMA) and orthogonal frequency division multiple access (OFDMA) when the adjacent sub-channel overlap and scheduling are optimized jointly.
IEEE transactions on vehicular technology
|Pages:||9566 - 9571|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
D. W. K. Ng is supported by funding from the UNSW Digital Grid Futures Institute, UNSW, Sydney, under a cross-disciplinary fund scheme and by the Australian Research Council’s Discovery Project (DP210102169).
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