TY - GEN
T1 - Interest-Based Semantic Information Transmission with RSMA in Smart Cities
AU - Cheng, Yanyu
AU - Niyato, Dusit
AU - Du, Hongyang
AU - Kang, Jiawen
AU - Miao, Chunyan
AU - Kim, Dong In
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In this paper, we propose an interest-based semantic information transmission framework with rate splitting multiple access (RSMA), to reduce the amount of transmitted data, thereby reducing the burden of data transmission and data processing. In the framework, only the semantic information of interest is transmitted to each user. In the process of semantic information transmission, RSMA is adopted to improve transmission efficiency. In particular, we adopt maximum ratio transmission and zero-forcing for the precoding of the common and private streams, respectively. We also design the quality of experience (QoE) for the system as a performance metric. Experimental results demonstrate the effectiveness of the proposed framework as compared with the benchmark.
AB - In this paper, we propose an interest-based semantic information transmission framework with rate splitting multiple access (RSMA), to reduce the amount of transmitted data, thereby reducing the burden of data transmission and data processing. In the framework, only the semantic information of interest is transmitted to each user. In the process of semantic information transmission, RSMA is adopted to improve transmission efficiency. In particular, we adopt maximum ratio transmission and zero-forcing for the precoding of the common and private streams, respectively. We also design the quality of experience (QoE) for the system as a performance metric. Experimental results demonstrate the effectiveness of the proposed framework as compared with the benchmark.
KW - Quality of experience
KW - rate splitting multiple access
KW - semantic information
KW - smart city
UR - https://www.scopus.com/pages/publications/85178279134
U2 - 10.1109/ICC45041.2023.10279270
DO - 10.1109/ICC45041.2023.10279270
M3 - Conference contribution
AN - SCOPUS:85178279134
T3 - IEEE International Conference on Communications
SP - 82
EP - 87
BT - ICC 2023 - IEEE International Conference on Communications
A2 - Zorzi, Michele
A2 - Tao, Meixia
A2 - Saad, Walid
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Communications, ICC 2023
Y2 - 28 May 2023 through 1 June 2023
ER -
