乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T06:25:21Z","timestamp":1740119121639,"version":"3.37.3"},"reference-count":66,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2023YFB4503905"],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Future Generation Computer Systems"],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1016\/j.future.2024.07.036","type":"journal-article","created":{"date-parts":[[2024,7,27]],"date-time":"2024-07-27T00:14:57Z","timestamp":1722039297000},"page":"107458","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Energy-efficiency optimization for heterogeneous computing-assisted NOMA-MEC edge AI tasks"],"prefix":"10.1016","volume":"162","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-9638-097X","authenticated-orcid":false,"given":"Rui","family":"She","sequence":"first","affiliation":[]},{"given":"Yuting","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Enfang","family":"Cui","sequence":"additional","affiliation":[]},{"given":"Mengyu","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Deji","family":"Fu","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.future.2024.07.036_b1","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1109\/TII.2022.3159164","article-title":"TAB-SAPP: a trust-aware blockchain-based seamless authentication for massive IoT-enabled industrial applications","volume":"19","author":"Deebak","year":"2020","journal-title":"IEEE Trans. Ind. Inform."},{"key":"10.1016\/j.future.2024.07.036_b2","doi-asserted-by":"crossref","first-page":"67870","DOI":"10.1109\/ACCESS.2022.3186703","article-title":"Performance evaluation of reinforcement learning based distributed channel selection algorithm in massive IoT networks","volume":"19","author":"Yamamoto","year":"2022","journal-title":"IEEE Access"},{"issue":"19","key":"10.1016\/j.future.2024.07.036_b3","doi-asserted-by":"crossref","first-page":"19174","DOI":"10.1109\/JIOT.2022.3164174","article-title":"RPRIA: Reputation and PUF-based remote identity attestation protocol for massive IoT devices","volume":"9","author":"Cao","year":"2022","journal-title":"IEEE Internet Things J."},{"issue":"1","key":"10.1016\/j.future.2024.07.036_b4","first-page":"596","article-title":"Toward enabled industrial verticals in 5G: A survey on MEC-based approaches to provisioning and flexibility","volume":"23","author":"Cao","year":"2020","journal-title":"IEEE Commun. Surv. Tutorials"},{"issue":"9","key":"10.1016\/j.future.2024.07.036_b5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3474552","article-title":"MEC-enabled 5G use cases: a survey on security vulnerabilities and countermeasures","volume":"54","author":"Ranaweera","year":"2021","journal-title":"ACM Comput. Surv. (CSUR)"},{"issue":"10","key":"10.1016\/j.future.2024.07.036_b6","doi-asserted-by":"crossref","first-page":"6743","DOI":"10.1109\/TWC.2021.3076201","article-title":"Online distributed offloading and computing resource management with energy harvesting for heterogeneous MEC-enabled IoT","volume":"20","author":"Xia","year":"2021","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"10.1016\/j.future.2024.07.036_b7","article-title":"RIS partition-assisted non-orthogonal multiple access (NOMA) and quadrature-NOMA with imperfect SIC","author":"Chauhan","year":"2022","journal-title":"IEEE Trans. Wireless Commun."},{"issue":"11","key":"10.1016\/j.future.2024.07.036_b8","doi-asserted-by":"crossref","first-page":"11615","DOI":"10.1109\/TVT.2022.3189589","article-title":"Performance of non-orthogonal multiple access (NOMA) systems over N-Nakagami-m multipath fading channels for 5G and beyond","volume":"71","author":"Magableh","year":"2022","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"4","key":"10.1016\/j.future.2024.07.036_b9","doi-asserted-by":"crossref","first-page":"2853","DOI":"10.1109\/TCOMM.2022.3153068","article-title":"Non-orthogonal multiple access assisted federated learning via wireless power transfer: A cost-efficient approach","volume":"70","author":"Wu","year":"2020","journal-title":"IEEE Trans. Commun."},{"issue":"4","key":"10.1016\/j.future.2024.07.036_b10","doi-asserted-by":"crossref","first-page":"4500","DOI":"10.1109\/TVT.2022.3146856","article-title":"Intelligent reflecting surface-aided short-packet non-orthogonal multiple access systems","volume":"71","author":"Vu","year":"2022","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"6","key":"10.1016\/j.future.2024.07.036_b11","doi-asserted-by":"crossref","first-page":"6207","DOI":"10.1109\/TVT.2019.2907253","article-title":"Joint power and time allocation for NOMA\u2013CMEC offloading. IEEE transactions on vehicular technology","volume":"68","author":"Ding","year":"2019","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"13","key":"10.1016\/j.future.2024.07.036_b12","doi-asserted-by":"crossref","first-page":"10731","DOI":"10.1109\/JIOT.2020.3048937","article-title":"Computation energy efficiency maximization for a NOMA-based WPT-MEC network","volume":"8","author":"Shi","year":"2021","journal-title":"IEEE Internet Things J."},{"issue":"14","key":"10.1016\/j.future.2024.07.036_b13","doi-asserted-by":"crossref","first-page":"2813","DOI":"10.1109\/TWC.2020.2968426","article-title":"Delay-aware computation offloading in NOMA MEC under differentiated uploading delay","volume":"9","author":"Sheng","year":"2020","journal-title":"IEEE Trans. Wireless Commun."},{"key":"10.1016\/j.future.2024.07.036_b14","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.jpdc.2021.10.002","article-title":"Comparing the performance of general matrix multiplication routine on heterogeneous computing systems","volume":"9","author":"Sorokin","year":"2022","journal-title":"J. Parallel Distrib. Comput."},{"key":"10.1016\/j.future.2024.07.036_b15","doi-asserted-by":"crossref","unstructured":"M. Rapp, N. Krohmer, H. Khdr, NPU-accelerated imitation learning for thermal-and QoS-aware optimization of heterogeneous multi-cores, 9 (2022) 39\u201348. arXiv preprint arXiv:2206.05459.","DOI":"10.23919\/DATE54114.2022.9774681"},{"issue":"10","key":"10.1016\/j.future.2024.07.036_b16","doi-asserted-by":"crossref","first-page":"4042","DOI":"10.1109\/TCSI.2022.3184115","article-title":"PL-NPU: An energy-efficient edge-device DNN training processor with posit-based logarithm-domain computing","volume":"69","author":"Wang","year":"2020","journal-title":"IEEE Trans. Circuits Syst."},{"key":"10.1016\/j.future.2024.07.036_b17","doi-asserted-by":"crossref","unstructured":"T. Tan, G. Cao, Efficient execution of deep neural networks on mobile devices with npu, in: Proc. of ACM IPSN, 2021.","DOI":"10.1145\/3412382.3458272"},{"issue":"6","key":"10.1016\/j.future.2024.07.036_b18","doi-asserted-by":"crossref","first-page":"64","DOI":"10.23919\/JCC.2021.06.006","article-title":"Joint allocation of wireless resource and computing capability in MEC-enabled vehicular network","volume":"18","author":"Hou","year":"2021","journal-title":"China Commun."},{"key":"10.1016\/j.future.2024.07.036_b19","doi-asserted-by":"crossref","first-page":"166079","DOI":"10.1109\/ACCESS.2019.2953172","article-title":"Device-enhanced MEC: Multi-access edge computing (MEC) aided by end device computation and caching: A survey","volume":"7","author":"Mehrabi","year":"2019","journal-title":"IEEE Access"},{"issue":"6","key":"10.1016\/j.future.2024.07.036_b20","doi-asserted-by":"crossref","first-page":"6207","DOI":"10.1109\/TVT.2019.2907253","article-title":"Joint power and time allocation for NOMA\u2013CMEC offloading","volume":"68","author":"Ding","year":"2019","journal-title":"IEEE Trans. Veh. Technol."},{"key":"10.1016\/j.future.2024.07.036_b21","doi-asserted-by":"crossref","first-page":"18008","DOI":"10.1109\/ACCESS.2022.3151168","article-title":"Energy-efficient beamforming and resource allocation for multi-antenna MEC systems","volume":"10","author":"Lim","year":"2022","journal-title":"IEEE Access"},{"key":"10.1016\/j.future.2024.07.036_b22","doi-asserted-by":"crossref","first-page":"166079","DOI":"10.1109\/ACCESS.2019.2953172","article-title":"Device-enhanced MEC: Multi-access edge computing (MEC) aided by end device computation and caching: A survey","volume":"7","author":"Mehrabi","year":"2019","journal-title":"IEEE Access"},{"issue":"1","key":"10.1016\/j.future.2024.07.036_b23","doi-asserted-by":"crossref","first-page":"596","DOI":"10.1109\/COMST.2020.3037674","article-title":"Toward enabled industrial verticals in 5G: A survey on MEC-based approaches to provisioning and flexibility","volume":"31","author":"Spinelli","year":"2019","journal-title":"IEEE Commun. Surv. Tutorials"},{"key":"10.1016\/j.future.2024.07.036_b24","doi-asserted-by":"crossref","unstructured":"J. Liu, Y. Mao, J. Zhang, Delay-optimal computation task scheduling for mobile-edge computing systems, in: IEEE Inter. Sym. on Infor. Theor., ISIT, 2016, pp. 1451\u20131455.","DOI":"10.1109\/ISIT.2016.7541539"},{"issue":"3","key":"10.1016\/j.future.2024.07.036_b25","doi-asserted-by":"crossref","first-page":"1397","DOI":"10.1109\/TWC.2016.2633522","article-title":"Energy-efficient resource allocation for mobile-edge computation offloading","volume":"16","author":"You","year":"2016","journal-title":"IEEE Trans. Wireless Commun."},{"issue":"5","key":"10.1016\/j.future.2024.07.036_b26","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1109\/MWC.121.2100058","article-title":"AI-driven UAV-NOMA-MEC in next generation wireless networks","volume":"28","author":"Yang","year":"2021","journal-title":"IEEE Wireless Commun."},{"issue":"5","key":"10.1016\/j.future.2024.07.036_b27","doi-asserted-by":"crossref","first-page":"3364","DOI":"10.1109\/TCOMM.2022.3159703","article-title":"Secure NOMA-based UAV-MEC network towards a flying eavesdropper","volume":"70","author":"Lu","year":"2022","journal-title":"IEEE Trans. Commun."},{"key":"10.1016\/j.future.2024.07.036_b28","doi-asserted-by":"crossref","unstructured":"P. Yang, L. Li, W. Liang, Latency optimization for multi-user NOMA-MEC offloading using reinforcement learning, in: Wire. and Opt. Commun. Confer., WOCC, 2019, pp. 1\u20135.","DOI":"10.1109\/WOCC.2019.8770605"},{"issue":"1","key":"10.1016\/j.future.2024.07.036_b29","doi-asserted-by":"crossref","first-page":"408","DOI":"10.1109\/TWC.2022.3194685","article-title":"Reinforcement learning based latency minimization in secure NOMA-MEC systems with hybrid SIC","volume":"22","author":"Wang","year":"2022","journal-title":"IEEE Trans. Wireless Commun."},{"issue":"7","key":"10.1016\/j.future.2024.07.036_b30","doi-asserted-by":"crossref","first-page":"45377","DOI":"10.1109\/TWC.2021.3139932","article-title":"Hybrid NOMA offloading in multi-user MEC networks","volume":"21","author":"Ding","year":"2022","journal-title":"IEEE Trans. Wireless Commun."},{"issue":"11","key":"10.1016\/j.future.2024.07.036_b31","doi-asserted-by":"crossref","first-page":"2710","DOI":"10.1109\/LCOMM.2022.3195767","article-title":"Energy-efficient rate allocation for NOMA-MEC offloading under outage constraints","volume":"26","author":"Qiu","year":"2022","journal-title":"IEEE Commun. Lett."},{"key":"10.1016\/j.future.2024.07.036_b32","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1109\/ACCESS.2022.3232731","article-title":"Massive MIMO-noma based MEC in task offloading for delay minimization","volume":"11","author":"lmaz","year":"2023","journal-title":"IEEE Access"},{"issue":"3","key":"10.1016\/j.future.2024.07.036_b33","doi-asserted-by":"crossref","first-page":"2285","DOI":"10.1109\/JIOT.2022.3206432","article-title":"Delay minimization for NOMA-mmw scheme-based MEC offloading","volume":"10","author":"Shi","year":"2023","journal-title":"IEEE Internet Things J."},{"issue":"1","key":"10.1016\/j.future.2024.07.036_b34","doi-asserted-by":"crossref","first-page":"408","DOI":"10.1109\/TWC.2022.3194685","article-title":"Reinforcement learning based latency minimization in secure NOMA-MEC systems with hybrid SIC","volume":"22","author":"Wang","year":"2023","journal-title":"IEEE Trans. Wireless Commun."},{"issue":"5","key":"10.1016\/j.future.2024.07.036_b35","doi-asserted-by":"crossref","first-page":"3364","DOI":"10.1109\/TCOMM.2022.3159703","article-title":"Secure NOMA-based UAV-MEC network towards a flying eavesdropper","volume":"70","author":"Lu","year":"2022","journal-title":"IEEE Trans. Commun."},{"issue":"10","key":"10.1016\/j.future.2024.07.036_b36","doi-asserted-by":"crossref","first-page":"7418","DOI":"10.1109\/JIOT.2022.3153970","article-title":"Task partitioning and orchestration on heterogeneous edge platforms: The case of vision applications","volume":"9","author":"Lan","year":"2022","journal-title":"IEEE Internet Things J."},{"key":"10.1016\/j.future.2024.07.036_b37","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1109\/OJCAS.2021.3116342","article-title":"Methodologies for synthesizing and analyzing dynamic dataflow programs in heterogeneous systems for edge computing","volume":"2","author":"Bloch","year":"2021","journal-title":"IEEE Open J. Circuits Syst."},{"issue":"10","key":"10.1016\/j.future.2024.07.036_b38","doi-asserted-by":"crossref","first-page":"7418","DOI":"10.1109\/JIOT.2022.3153970","article-title":"Task partitioning and orchestration on heterogeneous edge platforms: The case of vision applications","volume":"9","author":"Lan","year":"2022","journal-title":"IEEE Internet Things J."},{"key":"10.1016\/j.future.2024.07.036_b39","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.jpdc.2021.10.002","article-title":"Comparing the performance of general matrix multiplication routine on heterogeneous computing systems","volume":"9","author":"Sorokin","year":"2022","journal-title":"J. Parallel Distrib. Comput."},{"key":"10.1016\/j.future.2024.07.036_b40","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1109\/OJCAS.2021.3116342","article-title":"Methodologies for synthesizing and analyzing dynamic dataflow programs in heterogeneous systems for edge computing","volume":"2","author":"Bloch","year":"2021","journal-title":"IEEE Open J. Circuits Syst."},{"year":"2022","series-title":"NPU-accelerated imitation learning for thermal optimization of qos-constrained heterogeneous multi-cores","author":"Rapp","key":"10.1016\/j.future.2024.07.036_b41"},{"issue":"2","key":"10.1016\/j.future.2024.07.036_b42","doi-asserted-by":"crossref","first-page":"2806","DOI":"10.1109\/JIOT.2018.2875046","article-title":"Optimal SIC ordering and computation resource allocation in MEC-aware NOMA NB-IoT networks","volume":"6","author":"Qian","year":"2018","journal-title":"IEEE Internet Things J."},{"key":"10.1016\/j.future.2024.07.036_b43","doi-asserted-by":"crossref","first-page":"99098","DOI":"10.1109\/ACCESS.2020.2997925","article-title":"Online computation offloading in NOMA-based multi-access edge computing: A deep reinforcement learning approach","volume":"8","author":"Nduwayezu","year":"2020","journal-title":"IEEE Access"},{"issue":"3","key":"10.1016\/j.future.2024.07.036_b44","doi-asserted-by":"crossref","first-page":"2227","DOI":"10.1109\/JIOT.2021.3091849","article-title":"Online offloading scheduling for noma-aided mec under partial device knowledge","volume":"9","author":"Hua","year":"2021","journal-title":"IEEE Internet Things J."},{"issue":"4","key":"10.1016\/j.future.2024.07.036_b45","doi-asserted-by":"crossref","first-page":"1015","DOI":"10.1109\/JSAC.2020.3018809","article-title":"Resource allocation for energy-efficient MEC in NOMA-enabled massive IoT networks","volume":"39","author":"Liu","year":"2020","journal-title":"IEEE J. Sel. Area Commun."},{"issue":"5","key":"10.1016\/j.future.2024.07.036_b46","doi-asserted-by":"crossref","first-page":"3436","DOI":"10.1109\/TCOMM.2021.3058964","article-title":"Energy-efficient resource allocation for NOMA-MEC networks with imperfect CSI","volume":"69","author":"Fang","year":"2021","journal-title":"IEEE Trans. Commun."},{"issue":"12","key":"10.1016\/j.future.2024.07.036_b47","doi-asserted-by":"crossref","first-page":"7947","DOI":"10.1109\/TWC.2021.3088910","article-title":"Energy-efficient resource management for federated edge learning with CPU\u2013GPU heterogeneous computing","volume":"20","author":"Zeng","year":"2021","journal-title":"IEEE Trans. Wireless Commun."},{"key":"10.1016\/j.future.2024.07.036_b48","doi-asserted-by":"crossref","unstructured":"G. Zheng, C. Xu, H. Long, MEC in NOMA-HetNets: A joint task offloading and resource allocation approach, in: Proc. of WCNC, 2021.","DOI":"10.1109\/WCNC49053.2021.9417280"},{"issue":"8","key":"10.1016\/j.future.2024.07.036_b49","doi-asserted-by":"crossref","first-page":"8938","DOI":"10.1109\/TVT.2020.2997673","article-title":"System-centric computation energy efficiency for distributed NOMA-based MEC networks","volume":"69","author":"Ye","year":"2020","journal-title":"IEEE Trans. Veh. Technol."},{"key":"10.1016\/j.future.2024.07.036_b50","doi-asserted-by":"crossref","first-page":"147387","DOI":"10.1109\/ACCESS.2020.3015786","article-title":"Security energy efficiency maximization for untrusted relay assisted NOMA-MEC network with WPT","volume":"8","author":"Zhao","year":"2020","journal-title":"IEEE Access"},{"key":"10.1016\/j.future.2024.07.036_b51","doi-asserted-by":"crossref","unstructured":"X. Lin, R. Liu, J. Xie, Online Scheduling of CPU-NPU Coinference for Edge AI Tasks, in: 2023 IEEE Wire. Commun. and Net. Conf., WCNC, vol. 20, 2023.","DOI":"10.1109\/WCNC55385.2023.10118755"},{"issue":"10","key":"10.1016\/j.future.2024.07.036_b52","doi-asserted-by":"crossref","first-page":"4042","DOI":"10.1109\/TCSI.2022.3184115","article-title":"PL-NPU: An energy-efficient edge-device DNN training processor with posit-based logarithm-domain computing","volume":"69","author":"Wang","year":"2022","journal-title":"IEEE Trans. Circuits Syst. I: Regular Pap."},{"issue":"4","key":"10.1016\/j.future.2024.07.036_b53","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1109\/LES.2022.3162859","article-title":"Dadu-SV: Accelerate stereo vision processing on NPUs","volume":"14","author":"Min","year":"2022","journal-title":"IEEE Embedded Syst. Lett."},{"key":"10.1016\/j.future.2024.07.036_b54","doi-asserted-by":"crossref","unstructured":"C. Liu, J. Li, W. Huang, J. Rubio, E. Speight, X. Line, Power efficient time-sensitive mapping in heterogeneous systems, in: Proc. 21st Int. Conf. Parallel Archit. Compilation Techn., PACT, Minneapolis, MN, USA, 2012, pp. 23\u201332.","DOI":"10.1145\/2370816.2370822"},{"issue":"10","key":"10.1016\/j.future.2024.07.036_b55","doi-asserted-by":"crossref","first-page":"2795","DOI":"10.1002\/cpe.3299","article-title":"An architecture-level graphics processing unit energy model","volume":"28","author":"Wang","year":"2016","journal-title":"Concurr. Comput. Pract. Exp."},{"issue":"4","key":"10.1016\/j.future.2024.07.036_b56","doi-asserted-by":"crossref","first-page":"1015","DOI":"10.1109\/JSAC.2020.3018809","article-title":"Resource allocation for energy-efficient MEC in NOMA-enabled massive IoT networks","volume":"39","author":"Liu","year":"2021","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"10.1016\/j.future.2024.07.036_b57","doi-asserted-by":"crossref","first-page":"7947","DOI":"10.1109\/TWC.2021.3088910","article-title":"Energy-efficient resource management for federated edge learning with CPU\u2013GPU heterogeneouscomputing","volume":"20","author":"Zeng","year":"2021","journal-title":"IEEE Trans. Wireless Commun."},{"issue":"17","key":"10.1016\/j.future.2024.07.036_b58","doi-asserted-by":"crossref","first-page":"2884","DOI":"10.1002\/wcm.2736","article-title":"User pairing schemes for capacity maximization in non-orthogonal multiple access systems","volume":"16","author":"Shahab","year":"2016","journal-title":"Wireless Commun. Mob. Comput."},{"key":"10.1016\/j.future.2024.07.036_b59","doi-asserted-by":"crossref","first-page":"2492","DOI":"10.1109\/LWC.2022.3205268","article-title":"User pairing and power allocation for IRS-assisted NOMA systems with imperfect phase compensation","volume":"11","author":"Kumar","year":"2022","journal-title":"IEEE Wireless Commun. Lett."},{"key":"10.1016\/j.future.2024.07.036_b60","doi-asserted-by":"crossref","first-page":"58948","DOI":"10.1109\/ACCESS.2020.2982956","article-title":"CPU\u2013GPU utilization aware energy-efficient scheduling algorithm on heterogeneous computing systemse","volume":"8","author":"Tang","year":"2020","journal-title":"IEEE Access"},{"key":"10.1016\/j.future.2024.07.036_b61","doi-asserted-by":"crossref","first-page":"2227","DOI":"10.1109\/JIOT.2021.3091849","article-title":"Online offloading scheduling for noma-aided mec under partial device knowledge","volume":"9","author":"Hua","year":"2021","journal-title":"IEEE Internet Things J."},{"key":"10.1016\/j.future.2024.07.036_b62","doi-asserted-by":"crossref","first-page":"16152","DOI":"10.1109\/ACCESS.2021.3049883","article-title":"Joint task offloading and resource allocation for multi-task multi-server NOMA-MEC networks","volume":"9","author":"Xue","year":"2021","journal-title":"IEEE Access"},{"key":"10.1016\/j.future.2024.07.036_b63","doi-asserted-by":"crossref","unstructured":"Z. Liu, J. Qi, Y. Shen, K. Ma, X. Guan, Maximizing Energy Efficiency in UAV-Assisted NOMA\u2013CMEC Networks, IEEE Internet Things J. 10 (24) 22208\u201322222.","DOI":"10.1109\/JIOT.2023.3303491"},{"issue":"9","key":"10.1016\/j.future.2024.07.036_b64","doi-asserted-by":"crossref","first-page":"1511","DOI":"10.1109\/TC.2020.3014632","article-title":"Engn: A high-throughput and energy-efficient accelerator for large graph neural networks","volume":"70","author":"Liang","year":"2020","journal-title":"IEEE Trans. Comput."},{"issue":"7","key":"10.1016\/j.future.2024.07.036_b65","doi-asserted-by":"crossref","first-page":"1740","DOI":"10.1109\/TPDS.2020.3046870","article-title":"iMLBench: A machine learning benchmark suite for CPU\u2013GPU integrated architectures","volume":"32","author":"Zhang","year":"2020","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"10.1016\/j.future.2024.07.036_b66","unstructured":"D. Du, Q. Liu, X. Jiang, Serverless computing on heterogeneous computers, in: Proc. of ACM ASPLOS, 2020."}],"container-title":["Future Generation Computer Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167739X24003984?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167739X24003984?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T09:24:52Z","timestamp":1725960292000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0167739X24003984"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":66,"alternative-id":["S0167739X24003984"],"URL":"https:\/\/doi.org\/10.1016\/j.future.2024.07.036","relation":{},"ISSN":["0167-739X"],"issn-type":[{"type":"print","value":"0167-739X"}],"subject":[],"published":{"date-parts":[[2025,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Energy-efficiency optimization for heterogeneous computing-assisted NOMA-MEC edge AI tasks","name":"articletitle","label":"Article Title"},{"value":"Future Generation Computer Systems","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.future.2024.07.036","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"107458"}}