Joint Placement and Beamforming Design for IRS-Enhanced Multiuser MISO Systems

Huang, Wei; Ding, Wenqi; Kai, Caihong; Yi, Yibo; Huang, Yongming

doi:10.1109/tcomm.2022.3197625

Cited by 22 publications

(2 citation statements)

References 49 publications

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“…Chen et al [12] studied a reconfigurable smart surface-enhanced symbiotic radio system with multi-antenna base stations to minimize the transmit power of the BS, subject to the signaling-to-noise ratio constraints of the decoded backscattered signals and the rate constraints of the primary communication, The active beamforming of BS and the passive beamforming of RIS are jointly designed. Huang et al [13] studied on Basic Intelligent Reflective Surface (IRS) Deployment Problem for Downlink Multi-User Communication System Assisted by IRS in Certain Area to Enhance Desired Signals and Suppress Interference. Yang et al [14] maximized the energy efficiency of SR systems including multiple BDs by jointly optimizing primary transmitter (PT) transmission power and backscatter devices (BD) and time division multiple access.…”

Section: Introductionmentioning

confidence: 99%

Anti-Jamming Null Space Projection Beamforming Based on Symbiotic Radio

Ji,

Liu,

et al. 2024

Computer Modeling in Engineering &Amp; Sciences

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With the development of information technology, more and more devices are connected to the Internet through wireless communication to complete data interconnection. Due to the broadcast characteristics of wireless channels, wireless networks have suffered more and more malicious attacks. Physical layer security has received extensive attention from industry and academia. MIMO is considered to be one of the most important technologies related to physical layer security. Through beamforming technology, messages can be transmitted to legitimate users in an offset direction that is as orthogonal as possible to the interference channel to ensure the reception SINR by legitimate users. Combining the symbiotic radio (SR) technology, this paper considers a symbiotic radio antijamming MIMO system equipped with a multi-antenna system at the main base station. In order to avoid the interference signal and improve the SINR of the signal received by the user. The base station is equipped with a uniform rectangular antenna array, and using Null Space Projection (NSP) Beamforming, Intelligent Reflecting Surface (IRS) can assist in changing the beam's angle. The simulation results show that NSP Beamforming could make a better use of the null space of interference, which can effectively improve the received SINR of users under directional interference, and improve the utilization efficiency of signal energy.

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Section: Introductionmentioning

confidence: 99%

Anti-Jamming Null Space Projection Beamforming Based on Symbiotic Radio

Ji,

Liu,

et al. 2024

Computer Modeling in Engineering &Amp; Sciences

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“…Furthermore, the passive operation of IRS without amplifiers enables the communication systems to efficiently operate energy [ 17 , 18 , 21 , 32 , 33 ]. Therefore, the IRS technique has been vigorously applied to various wireless communication systems, such as the multi-user multiple-input single-output (MISO) systems [ 5 , 34 , 35 ], secure-communication systems [ 6 , 7 , 8 ], multi-cell MISO systems [ 9 ], broadcasting systems [ 10 , 36 ], multi-group multicast MISO systems [ 14 ], non-orthogonal multiple access (NOMA) systems [ 11 , 12 , 13 , 22 ], millimeter-wave systems [ 15 , 16 , 37 ], and cognitive radio or symbiotic radio systems [ 38 , 39 ]. The majority of IRS techniques have mainly been applied to beamforming systems by exploiting the channel state information (CSI) at the transmitter [ 9 , 10 , 11 , 39 ].…”

Section: Introductionmentioning

confidence: 99%

Discrete Phase Shifts of Intelligent Reflecting Surface Systems Considering Network Overhead

Kim

Kang

et al. 2022

Entropy

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In this study, the performance of intelligent reflecting surfaces (IRSs) with a discrete phase shift strategy is examined in multiple-antenna systems. Considering the IRS network overhead, the achievable rate model is newly designed to evaluate the practical IRS system performance. Finding the optimal resolution of the IRS discrete phase shifts and a corresponding phase shift vector is an NP-hard combinatorial problem with an extremely large search complexity. Recognizing the performance trade-off between the IRS passive beamforming gain and IRS signaling overheads, the incremental search method is proposed to present the optimal resolution of the IRS discrete phase shift. Moreover, two low-complexity sub-algorithms are suggested to obtain the IRS discrete phase shift vector during the incremental search algorithms. The proposed incremental search-based discrete phase shift method can efficiently obtain the optimal resolution of the IRS discrete phase shift that maximizes the overhead-aware achievable rate. Simulation results show that the discrete phase shift with the incremental search method outperforms the conventional analog phase shift by choosing the optimal resolution of the IRS discrete phase shift. Furthermore, the cumulative distribution function comparison shows the superiority of the proposed method over the entire coverage area. Specifically, it is shown that more than 20% of coverage extension can be accomplished by deploying IRS with the proposed method.

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