Optimal Power Allocation in Downlink Multicarrier NOMA Systems: Theory and Fast Algorithms

In this work, we propose globally optimal power allocation strategies to maximize the users sum-rate (SR), and system energy efficiency (EE) in the downlink of single-cell multicarrier non-orthogonal multiple access (MC-NOMA) systems. Each NOMA cluster includes a set of users in which the well-known...

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Vydané v:	IEEE journal on selected areas in communications Ročník 40; číslo 4; s. 1162 - 1189
Hlavní autori:	Rezvani, Sepehr, Jorswieck, Eduard A., Joda, Roghayeh, Yanikomeroglu, Halim
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.04.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Admission control Algorithms Broadcast channel Closed form solutions Clusters Downlink Downlinking energy efficiency Equivalence Exact solutions Mathematical analysis multicarrier Multiplexing NGMA NOMA Nonorthogonal multiple access Optimization power allocation Power demand Resource management Silicon carbide successive interference cancellation superposition coding water-filling
ISSN:	0733-8716, 1558-0008
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Abstract	In this work, we propose globally optimal power allocation strategies to maximize the users sum-rate (SR), and system energy efficiency (EE) in the downlink of single-cell multicarrier non-orthogonal multiple access (MC-NOMA) systems. Each NOMA cluster includes a set of users in which the well-known superposition coding (SC) combined with successive interference cancellation (SIC) technique is applied among them. By obtaining the closed-form expression of intra-cluster power allocation, we show that MC-NOMA can be equivalently transformed to a virtual orthogonal multiple access (OMA) system, where the effective channel gain of these virtual OMA users is obtained in closed-form. Then, the SR and EE maximization problems are solved by using very fast water-filling and Dinkelbach algorithms, respectively. The equivalent transformation of MC-NOMA to the virtual OMA system brings new theoretical insights, which are discussed throughout the paper. The extensions of our analyses to other scenarios, such as considering users rate fairness, admission control, long-term performance, and a number of future next-generation multiple access (NGMA) schemes enabling recent advanced technologies, e.g., reconfigurable intelligent surfaces are discussed. Extensive numerical results are provided to demonstrate the performance gaps among single-carrier NOMA (SC-NOMA), OMA-NOMA, and OMA.
AbstractList	In this work, we propose globally optimal power allocation strategies to maximize the users sum-rate (SR), and system energy efficiency (EE) in the downlink of single-cell multicarrier non-orthogonal multiple access (MC-NOMA) systems. Each NOMA cluster includes a set of users in which the well-known superposition coding (SC) combined with successive interference cancellation (SIC) technique is applied among them. By obtaining the closed-form expression of intra-cluster power allocation, we show that MC-NOMA can be equivalently transformed to a virtual orthogonal multiple access (OMA) system, where the effective channel gain of these virtual OMA users is obtained in closed-form. Then, the SR and EE maximization problems are solved by using very fast water-filling and Dinkelbach algorithms, respectively. The equivalent transformation of MC-NOMA to the virtual OMA system brings new theoretical insights, which are discussed throughout the paper. The extensions of our analyses to other scenarios, such as considering users rate fairness, admission control, long-term performance, and a number of future next-generation multiple access (NGMA) schemes enabling recent advanced technologies, e.g., reconfigurable intelligent surfaces are discussed. Extensive numerical results are provided to demonstrate the performance gaps among single-carrier NOMA (SC-NOMA), OMA-NOMA, and OMA.
Author	Jorswieck, Eduard A. Joda, Roghayeh Yanikomeroglu, Halim Rezvani, Sepehr
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Cites_doi	10.1109/TWC.2016.2606100 10.1109/JSAC.2017.2726357 10.1109/TWC.2021.3120325 10.1109/TCOMM.2018.2831206 10.1109/JIOT.2020.3041598 10.1109/TCCN.2019.2933835 10.1109/MWC.2019.1800598 10.1109/VTCSpring.2013.6692652 10.1109/TCOMM.2021.3067700 10.1109/TCOMM.2005.861678 10.1109/ACCESS.2019.2927903 10.1109/TCOMM.2017.2650992 10.1109/ICC.2017.7996797 10.1109/ICC.2018.8422362 10.1109/TSP.2020.2982786 10.1109/MCOM.2015.7263349 10.1109/TCOMM.2016.2594759 10.1109/HPSR.2019.8807992 10.1561/0100000088 10.1109/JSAC.2017.2725879 10.1109/COMST.2018.2835558 10.1109/COMST.2020.3013514 10.1109/ICCCS49678.2020.9276828 10.1109/JSAC.2017.2725618 10.1109/JSAC.2017.2777672 10.1109/TIT.2003.819328 10.1109/TCOMM.2018.2865766 10.1109/TWC.2013.061713.130278 10.1109/LWC.2017.2665470 10.1109/18.915665 10.1109/TWC.2016.2616310 10.1109/ACCESS.2020.3039242 10.1109/TWC.2014.2324588 10.1109/TWC.2017.2716921 10.1155/2008/643081 10.1109/ACCESS.2017.2779855 10.1109/TCOMM.2021.3062651 10.1109/TCOMM.2020.2979971 10.1109/TSP.2020.2973488 10.1109/JSAC.2022.3143237 10.1109/COMST.2016.2621116 10.1057/palgrave.jors.2600425 10.1109/INFOCOM.2019.8737495 10.1017/CBO9781139030687 10.1109/ACCESS.2020.2973395 10.1109/JSAC.2017.2725519 10.1109/TCCN.2019.2945802 10.1109/TWC.2017.2772824 10.1109/WCNC.2019.8885490 10.1109/SAM.2018.8448840 10.1109/TWC.2017.2778105 10.1287/mnsc.13.7.492 10.1109/TVT.2018.2875601 10.1017/cbo9780511804441 10.1007/978-3-642-82118-9 10.1109/TSP.2004.840816 10.1109/TCOMM.2017.2709301 10.1109/MCOM.001.2001076 10.1109/ACCESS.2016.2604821 10.1109/TWC.2012.060412.111829 10.1109/COMST.2020.3004197 10.1109/LWC.2018.2840723 10.1109/JIOT.2018.2816597
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SubjectTerms	Admission control Algorithms Broadcast channel Closed form solutions Clusters Downlink Downlinking energy efficiency Equivalence Exact solutions Mathematical analysis multicarrier Multiplexing NGMA NOMA Nonorthogonal multiple access Optimization power allocation Power demand Resource management Silicon carbide successive interference cancellation superposition coding water-filling
Title	Optimal Power Allocation in Downlink Multicarrier NOMA Systems: Theory and Fast Algorithms
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