Abstract:
Both intelligent reflecting surface (IRS) and non-orthogonal multiple access (NOMA) are considered as potential techniques for the next-generation mobile communication sy...Show MoreMetadata
Abstract:
Both intelligent reflecting surface (IRS) and non-orthogonal multiple access (NOMA) are considered as potential techniques for the next-generation mobile communication system. In this paper, we concentrate on the power minimization problem for a multi-antenna IRS-NOMA uplink system, which is addressed by alternatively optimizing transceivers and phase shifts. Particularly, the users are divided into one central group and one edge group according to their propagation distances to the base station, where the data transmission of the edge group is assisted by the IRS. Besides, from the perspective of practice, a non-ideal group-based successive interference cancellation (GSIC) is taken into account. To proceed, an iterative algorithm with the minimum mean square error equalizer is leveraged to design the transceivers and a sequential rotation algorithm is developed to optimize the phase shifts. Simulation results indicate the superiority of the proposed scheme compared with various benchmarks in terms of transmit power consumption.
Date of Conference: 26-29 March 2023
Date Added to IEEE Xplore: 12 May 2023
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- IEEE Keywords
- Index Terms
- Non-orthogonal Multiple Access ,
- Non-orthogonal Multiple Access System ,
- IRS-aided Non-orthogonal Multiple Access ,
- Mean Square Error ,
- Power Consumption ,
- Phase Shift ,
- Base Station ,
- Minimum Mean ,
- Propagation Distance ,
- Multiple Access ,
- Minimum Mean Square Error ,
- Sequential Algorithm ,
- Minimum Mean Square ,
- Successive Interference Cancellation ,
- Intelligent Reflecting Surface ,
- Power Minimization ,
- Optimization Problem ,
- Objective Function ,
- User Groups ,
- Channel State ,
- Orthogonal Multiple Access ,
- Phase Shift Matrix ,
- Center Users ,
- Benchmark Schemes ,
- Resource Block ,
- Data Rate Requirements ,
- Channel Vector ,
- Optimization Variables ,
- Solution Of Subproblem ,
- Rician Factor
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Non-orthogonal Multiple Access ,
- Non-orthogonal Multiple Access System ,
- IRS-aided Non-orthogonal Multiple Access ,
- Mean Square Error ,
- Power Consumption ,
- Phase Shift ,
- Base Station ,
- Minimum Mean ,
- Propagation Distance ,
- Multiple Access ,
- Minimum Mean Square Error ,
- Sequential Algorithm ,
- Minimum Mean Square ,
- Successive Interference Cancellation ,
- Intelligent Reflecting Surface ,
- Power Minimization ,
- Optimization Problem ,
- Objective Function ,
- User Groups ,
- Channel State ,
- Orthogonal Multiple Access ,
- Phase Shift Matrix ,
- Center Users ,
- Benchmark Schemes ,
- Resource Block ,
- Data Rate Requirements ,
- Channel Vector ,
- Optimization Variables ,
- Solution Of Subproblem ,
- Rician Factor
- Author Keywords