Joint optimal power allocation for D2D groups and underlaid non-orthogonal multiple access cellular users
A novel non-orthogonal multiple access (NOMA) enhanced device-to-device (D2D) communication model with underlaid downlink NOMA cellular network is presented in this paper. Transmitters in each of the D2D groups will be able to communicate with multiple D2D receivers simultaneously via NOMA protocol....
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| Veröffentlicht in: | Telecommunication systems 2019-11, Vol.72 (3), p.365-375 |
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| creator | Sindhu, P. Deepak, K. S. Abdul Hameed, K. M. |
| description | A novel non-orthogonal multiple access (NOMA) enhanced device-to-device (D2D) communication model with underlaid downlink NOMA cellular network is presented in this paper. Transmitters in each of the D2D groups will be able to communicate with multiple D2D receivers simultaneously via NOMA protocol. Similarly, Base Station also communicates with multiple cellular users (CUs) via NOMA strategy. Power allocation for this hybrid model is investigated in this paper. Optimization problem is formulated as weighted sum rate maximization of the network which allows to prioritize the users in the power allocation process. Rate constraints are imposed on all the receivers in the network in order to meet quality of service requirements. Additional constraints to guarantee successful successive interference cancellation decoding are incorporated. Since the problem is non-convex, an alternate formulation is derived based on difference of convex functions. First, feasibility condition for the existence of solution is derived. Consequently, an iterative procedure based on successive approximation is used to attain optimal power distribution. We show that the proposed power allocation algorithm is convergent and attains optimal performance. Furthermore, simulation results reveal that NOMA enhanced D2D communication with underlaid NOMA cellular network achieves higher network sum rate than the scheme where CUs are scheduled based on orthogonal multiple access protocol. |
| doi_str_mv | 10.1007/s11235-019-00573-9 |
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Since the problem is non-convex, an alternate formulation is derived based on difference of convex functions. First, feasibility condition for the existence of solution is derived. Consequently, an iterative procedure based on successive approximation is used to attain optimal power distribution. We show that the proposed power allocation algorithm is convergent and attains optimal performance. Furthermore, simulation results reveal that NOMA enhanced D2D communication with underlaid NOMA cellular network achieves higher network sum rate than the scheme where CUs are scheduled based on orthogonal multiple access protocol.</description><identifier>ISSN: 1018-4864</identifier><identifier>EISSN: 1572-9451</identifier><identifier>DOI: 10.1007/s11235-019-00573-9</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Algorithms ; Approximation ; Artificial Intelligence ; Business and Management ; Cellular communication ; Communication ; Computer Communication Networks ; Computer simulation ; Decoding ; Efficiency ; Electric power distribution ; Engineering ; Investigations ; IT in Business ; Iterative methods ; Nonorthogonal multiple access ; Optimization ; Power management ; Probability Theory and Stochastic Processes ; Quality of service ; Quality of service architectures ; Receivers ; Receivers & amplifiers ; Telecommunications systems ; Transmitters ; Wireless networks</subject><ispartof>Telecommunication systems, 2019-11, Vol.72 (3), p.365-375</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2019</rights><rights>Telecommunication Systems is a copyright of Springer, (2019). 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M.</creatorcontrib><title>Joint optimal power allocation for D2D groups and underlaid non-orthogonal multiple access cellular users</title><title>Telecommunication systems</title><addtitle>Telecommun Syst</addtitle><description>A novel non-orthogonal multiple access (NOMA) enhanced device-to-device (D2D) communication model with underlaid downlink NOMA cellular network is presented in this paper. Transmitters in each of the D2D groups will be able to communicate with multiple D2D receivers simultaneously via NOMA protocol. Similarly, Base Station also communicates with multiple cellular users (CUs) via NOMA strategy. Power allocation for this hybrid model is investigated in this paper. Optimization problem is formulated as weighted sum rate maximization of the network which allows to prioritize the users in the power allocation process. Rate constraints are imposed on all the receivers in the network in order to meet quality of service requirements. Additional constraints to guarantee successful successive interference cancellation decoding are incorporated. Since the problem is non-convex, an alternate formulation is derived based on difference of convex functions. First, feasibility condition for the existence of solution is derived. Consequently, an iterative procedure based on successive approximation is used to attain optimal power distribution. We show that the proposed power allocation algorithm is convergent and attains optimal performance. 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S.</au><au>Abdul Hameed, K. M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Joint optimal power allocation for D2D groups and underlaid non-orthogonal multiple access cellular users</atitle><jtitle>Telecommunication systems</jtitle><stitle>Telecommun Syst</stitle><date>2019-11-01</date><risdate>2019</risdate><volume>72</volume><issue>3</issue><spage>365</spage><epage>375</epage><pages>365-375</pages><issn>1018-4864</issn><eissn>1572-9451</eissn><abstract>A novel non-orthogonal multiple access (NOMA) enhanced device-to-device (D2D) communication model with underlaid downlink NOMA cellular network is presented in this paper. Transmitters in each of the D2D groups will be able to communicate with multiple D2D receivers simultaneously via NOMA protocol. Similarly, Base Station also communicates with multiple cellular users (CUs) via NOMA strategy. Power allocation for this hybrid model is investigated in this paper. Optimization problem is formulated as weighted sum rate maximization of the network which allows to prioritize the users in the power allocation process. Rate constraints are imposed on all the receivers in the network in order to meet quality of service requirements. Additional constraints to guarantee successful successive interference cancellation decoding are incorporated. Since the problem is non-convex, an alternate formulation is derived based on difference of convex functions. First, feasibility condition for the existence of solution is derived. Consequently, an iterative procedure based on successive approximation is used to attain optimal power distribution. We show that the proposed power allocation algorithm is convergent and attains optimal performance. 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| subjects | Algorithms Approximation Artificial Intelligence Business and Management Cellular communication Communication Computer Communication Networks Computer simulation Decoding Efficiency Electric power distribution Engineering Investigations IT in Business Iterative methods Nonorthogonal multiple access Optimization Power management Probability Theory and Stochastic Processes Quality of service Quality of service architectures Receivers Receivers & amplifiers Telecommunications systems Transmitters Wireless networks |
| title | Joint optimal power allocation for D2D groups and underlaid non-orthogonal multiple access cellular users |
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