Journal
IEEE TRANSACTIONS ON COMMUNICATIONS
Volume 71, Issue 4, Pages 2274-2287Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCOMM.2023.3242670
Keywords
Transmitters; Resource management; Optimization; Uncertainty; Simulation; Security; NOMA; Rate splitting multiple access; covert communications; deep reinforcement learning; power allocation; rate control
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Rate Splitting Multiple Access (RSMA) is a new technique to enhance transmission rate in multiple access networks by splitting and transmitting messages at different rates. This paper proposes a stochastic optimization framework for adaptively adjusting power and transmission rates, maximizing system sum-rate and fairness in the presence of an adversary. Additionally, a highly effective learning algorithm is developed to find the optimal policy without complete information about the environment. Simulation results demonstrate the effectiveness of the proposed scheme in achieving non-saturated transmission rates and positive covert transmission rates.
Rate Splitting Multiple Access (RSMA) has recently emerged as a promising technique to enhance the transmission rate for multiple access networks. Unlike conventional multiple access schemes, RSMA requires splitting and transmitting messages at different rates. The joint optimization of the power allocation and rate control at the transmitter is challenging given the uncertainty and dynamics of the environment. Furthermore, securing transmissions in RSMA networks is a crucial problem because the messages transmitted can be easily exposed to adversaries. This work first proposes a stochastic optimization framework that allows the transmitter to adaptively adjust its power and transmission rates allocated to users, and thereby maximizing the sum-rate and fairness of the system under the presence of an adversary. We then develop a highly effective learning algorithm that can help the transmitter to find the optimal policy without requiring complete information about the environment in advance. Extensive simulations show that our proposed scheme can achieve non-saturated transmission rates at high SNR values with infinite blocklength. More significantly, our proposed scheme can achieve positive covert transmission rates in the finite blocklength regime, compared with zero-valued covert rates of a conventional multiple access scheme.
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