Optimization of Rate Allocation and Power Control for Rate Splitting Multiple Access (RSMA)
Zhaohui Yang, Mingzhe Chen, Walid Saad, Mohammad Shikh-Bahaei

TL;DR
This paper investigates optimizing rate allocation and power control in RSMA to maximize sum-rate in wireless networks, proposing solutions that outperform NOMA and OFDMA.
Contribution
It introduces a novel optimization framework for joint rate and power control in RSMA, with closed-form solutions and a search algorithm for optimal parameters.
Findings
RSMA achieves up to 15.6% higher data rate than NOMA.
RSMA achieves up to 21.5% higher data rate than OFDMA.
Proposed method effectively maximizes sum-rate through joint optimization.
Abstract
In this paper, the sum-rate maximization problem is studied for wireless networks that use downlink rate splitting multiple access (RSMA). In the considered model, each base station (BS) divides the messages that must be transmitted to its users into a `private' part and a `common' part. Here, the common message is a message that all users want to receive and the private message is a message that is dedicated to only a specific user. The RSMA mechanism enables a BS to adjust the split of common and private messages so as to control the interference by decoding and treating interference as noise and, thus optimizing the data rate of users. To maximize the users' sum-rate, the network can determine the rate allocation for the common message to meet the rate demand, and adjust the transmit power for the private message to reduce the interference. This problem is formulated as an…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · IoT Networks and Protocols · Wireless Body Area Networks
