Downlink Multi-User MIMO Transmission for Radiation Pattern Reconfigurable Antenna Systems

Hasan, Mehedi; Bahçeci, İsrafil; Cetiner, Bedri A.

doi:10.1109/twc.2018.2859972

Cited by 20 publications

(10 citation statements)

References 36 publications

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“…For example, because more dimensions are jointly designed, the complexity is an important factor in signal processing; thus, a two-stage design [47] or Thompson sampling [48] have been proposed to reduce the complexity of precoding algorithms. Moreover, the multi-cell cooperation with the reconfigurable massive MIMO could be different from that with massive MIMO because the reconfigurable antenna will introduce more challenges for interference suppression.…”

Section: Reconfigurable Massive Mimomentioning

confidence: 99%

A new 5G radio evolution towards 5G-Advanced

Pang

Wang

Tang

et al. 2022

Sci. China Inf. Sci.

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The evolution of the fifth-generation (5G) new radio (NR) has progressed swiftly since the third generation partnership project (3GPP) standardized the first NR version (Release 15) in mid-2018. Nowadays, the world’s leading carriers are competing to provide various commercial services over 5G networks. Looking ahead to 2025 and beyond, it is expected that over 6.5 million 5G base stations will be installed to offer services to over 58% of the world’s population via over 100 billion 5G connections. Following the rapid development of 5G, an increasing number of commercialization use cases will drive the 5G network to continuously improve performance and expand capabilities. Hence, it is the right time to consider a well-defined framework and standardization for 5G NR evolution (5G-Advanced) to support commercialization between 2025 and 2030. First, this study addresses the key driving forces, requirements, usage scenarios, and capabilities of 5G-Advanced; then, it highlights the main technological challenges and introduces the top 10 promising technological directions in detail. Finally, other fascinating technological directions in 5G-Advanced are shortly mentioned.

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Section: Reconfigurable Massive Mimomentioning

confidence: 99%

A new 5G radio evolution towards 5G-Advanced

Pang

Wang

Tang

et al. 2022

Sci. China Inf. Sci.

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“…The performance benefits of MR-MIMO mainly come from the additional DoFs, and the exploitation of such additional DoFs is mainly accomplished through the effective optimal mode selection scheme. Currently, several applications of MR-MIMO have been promoted in areas such as MIMO transmission [20], target detection and tracking [21], direction of arrival (DoA) estimation [22], [23]. In [20], the additional efficient channels generated by MR-MIMO expanded the users scheduling region, which would further improve the performance.…”

Section: Introductionmentioning

confidence: 99%

“…Currently, several applications of MR-MIMO have been promoted in areas such as MIMO transmission [20], target detection and tracking [21], direction of arrival (DoA) estimation [22], [23]. In [20], the additional efficient channels generated by MR-MIMO expanded the users scheduling region, which would further improve the performance. A joint user and antenna mode selection algorithm based on determinant pairing scheduling was proposed, and a greedy low-complexity iterative selection scheme was further designed.…”

Section: Introductionmentioning

confidence: 99%

Achievable Rate Maximization Pattern Design for Reconfigurable MIMO Antenna Array

Wang¹,

Li²,

Liu³

et al. 2022

Preprint

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Multi-functional and reconfigurable multiple-input multiple-output (MR-MIMO) can provide performance gains over traditional MIMO by introducing additional degrees of freedom. In this paper, we focus on the capacity maximization pattern design for MR-MIMO systems. Firstly, we introduce the matrix representation of MR-MIMO, based on which a pattern design problem is formulated. To further reveal the effect of the radiation pattern on the wireless channel, we consider pattern design for both the single-pattern case where the optimized radiation pattern is the same for all the antenna elements, and the multi-pattern case where different antenna elements can adopt different radiation patterns. For the single-pattern case, we show that the pattern design is equivalent to a redistribution of power among all scattering paths, and an eigenvalue optimization based solution is obtained. For the multi-pattern case, we propose a sequential optimization framework with manifold optimization and eigenvalue decomposition to obtain near-optimal solutions. Numerical results validate the superiority of MR-MIMO systems over traditional MIMO in terms of capacity, and also show the effectiveness of the proposed solutions.

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Section: Introductionmentioning

confidence: 99%

“…The applications of PR-MIMO in practical wireless scenarios such as user scheduling [12], target location [13], direction of arrival (DoA) estimation [14], [15], have been discussed recently. In [12], PR-MIMO improved the performance by expanding the users scheduling region via the additional reconfigurable channels. The pairing scheduling was determined by the proposed joint user and antenna mode selection scheme, and a greedy low-complexity iterative selection algorithm was further designed.…”

Section: Introductionmentioning

confidence: 99%

Reconfigurable MIMO towards Electro-magnetic Information Theory: Capacity Maximization Pattern Design

Wang¹,

Li²,

Liu³

et al. 2022

Preprint

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In this paper, we focus on the pattern reconfigurable multiple-input multiple-output (PR-MIMO), a technique that has the potential to bridge the gap between electro-magnetics and communications towards the emerging Electro-magnetic Information Theory (EIT). Specifically, we focus on the pattern design problem aimed at maximizing the channel capacity for reconfigurable MIMO communication systems, where we firstly introduce the matrix representation of PR-MIMO and further formulate a pattern design problem. We decompose the pattern design into two steps, i.e., the correlation modification process to optimize the correlation structure of the channel, followed by the power allocation process to improve the channel quality based on the optimized channel structure. For the correlation modification process, we propose a sequential optimization framework with eigenvalue decomposition to obtain near-optimal solutions. For the power allocation process, we provide a closed-form power allocation scheme to redistribute the transmission power among the modified subchannels. Numerical results show that the proposed pattern design scheme offers significant improvements over legacy MIMO systems, which motivates the application of PR-MIMO in wireless communication systems.

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Downlink Multi-User MIMO Transmission for Radiation Pattern Reconfigurable Antenna Systems

Cited by 20 publications

References 36 publications

A new 5G radio evolution towards 5G-Advanced

A new 5G radio evolution towards 5G-Advanced

Achievable Rate Maximization Pattern Design for Reconfigurable MIMO Antenna Array

Reconfigurable MIMO towards Electro-magnetic Information Theory: Capacity Maximization Pattern Design

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