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In multi\u2010modal services, video and audio primarily require high\u2010rate transmission, while haptic flow requires ultra\u2010high reliability and ultra\u2010low latency transmission, which imposes unprecedented challenges on the network. To improve the transmission efficiency of multi\u2010modal services, this article proposes a cross\u2010modal communication architecture in the cloud radio access network based on network slicing technology. First, we take the data rate and transmission latency of video, audio, and haptic flows contents as the quality of service (QoS) parameters, and send different modes of flows into varying slices for transmission. Second, to transmit the cross\u2010modal services efficiently while saving communication resources as many as possible, we define our optimization goal as the form of return on investment (ROI), that is, we aim to maximize the return of QoS parameters under the limited investment in communication resources. Third, we propose a two\u2010stage framework to solve this ROI maximization problem. In the first stage, we propose the power control gradient assisted binary search algorithm to solve the power control problem, which can achieve the optimization of data rate and transmission latency and obtain the suitable QoS. Then, in the second stage, we introduce the network slicing ant colony optimization algorithm to solve the slice resource allocation problem, and get the largest possible ROI. The simulation results verify the effectiveness of the proposed cross\u2010modal communication architecture, and prove the optimum of the proposed algorithm in terms of ROI compared to some existing algorithms, such as the reverse labeling Dijkstra algorithm, the delay acceptance algorithm, and the random searching algorithm.<\/jats:p>","DOI":"10.1002\/ett.4679","type":"journal-article","created":{"date-parts":[[2022,10,29]],"date-time":"2022-10-29T01:41:11Z","timestamp":1667007671000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Power control and resource allocation for return on investment maximization in cross\u2010modal communications"],"prefix":"10.1002","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1806-3179","authenticated-orcid":false,"given":"Mengtian","family":"Wen","sequence":"first","affiliation":[{"name":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education Nanjing University of Posts and Telecommunications  Nanjing China"}]},{"given":"Zhe","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education Nanjing University of Posts and Telecommunications  Nanjing China"}]},{"given":"Jianxin","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education Nanjing University of Posts and Telecommunications  Nanjing China"}]},{"given":"Xin","family":"Wei","sequence":"additional","affiliation":[{"name":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education Nanjing University of Posts and Telecommunications  Nanjing China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8826-2587","authenticated-orcid":false,"given":"Mingkai","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education Nanjing University of Posts and Telecommunications  Nanjing China"}]}],"member":"311","published-online":{"date-parts":[[2022,10,28]]},"reference":[{"key":"e_1_2_9_2_1","first-page":"32(6):3991\u20104003","article-title":"Cross\u2010modal transmission strategy","author":"Wei X","year":"2022","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900220"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.2000448"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3021543"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2013.64"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900201"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2017.2692307"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2939938"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.2000474"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2021.3086522"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2018.2867474"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3145813"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2020.3038998"},{"key":"e_1_2_9_15_1","article-title":"Soft transmission of 3D video for low power and low complexity scenario","author":"Li A","year":"2022","journal-title":"Digital Commun Netw"},{"key":"e_1_2_9_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2955129"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2017.2762745"},{"key":"e_1_2_9_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3156905"},{"key":"e_1_2_9_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2017.1601092"},{"key":"e_1_2_9_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2018.1700232"},{"key":"e_1_2_9_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2017.1600435CM"},{"key":"e_1_2_9_22_1","unstructured":"JacobsenT AbreuR BerardinelliG PedersenK Kov\u00e1csIZ MogensenP.System level analysis of K\u2010repetition for uplink grant\u2010free URLLC in 5G NR. 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