SINR Maximization Beam Selection for mmWave Beamspace MIMO Systems

Orikumhi, Igbafe; Kang, Jeongwan; Jwa, Hyekyung; Na, Jee-Hyeon; Kim, Sunwoo

doi:10.1109/access.2020.3029257

Cited by 19 publications

(5 citation statements)

References 35 publications

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“…Let us consider a HAPS equipped with an array of M = 64 (8 × 8) antenna elements that serves K concurrent ground users, equipped with a single isotropic antenna, located inside the above-mentioned circular angular sector ( Figure 2 ), through a multibeam radiation pattern in a line-of-sight (LOS) scenario. The assumption of a LOS channel is consistent since, at mm-wave, the LOS ray represents the predominant mode of propagation between the base station (BS) and the users, due to large path loss as well as the use of high-gain antennas [ 47 , 48 ]. Furthermore, the LOS channel condition turns out to be further emphasized in the case of HAPS wireless communication [ 49 ].…”

Section: Massive Mimo Performance Evaluationmentioning

confidence: 99%

Spectral Efficiency Improvement of 5G Massive MIMO Systems for High-Altitude Platform Stations by Using Triangular Lattice Arrays

Dicandia

Genovesi

2021

Sensors

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The beneficial effects of adopting a triangular lattice on phased arrays with regular and periodic grids for high-altitude platform station (HAPS) systems are presented in the scenario of massive MIMO communications operating within the 5G NR n257 and n258 frequency bands. Assessment of a planar array with 64 elements (8 × 8) is provided for both a triangular lattice and a square one in terms of array gain, average sidelobe level (ASLL), and mutual coupling. Particular attention is devoted to illustrating the impact of the antenna array lattice at the system level by evaluating its significant merits, such as its spectral efficiency (SE) and signal-to-interference ratio (SIR). The better performance exhibited by the triangular lattice array in comparison to the square one makes it appealing for the 5G massive MIMO paradigm.

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Section: Massive Mimo Performance Evaluationmentioning

confidence: 99%

Spectral Efficiency Improvement of 5G Massive MIMO Systems for High-Altitude Platform Stations by Using Triangular Lattice Arrays

Dicandia

Genovesi

2021

Sensors

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“…In addition, the fitness (e.g., sum-rate) of all evolutionary individuals need to be calculated frequently, which requires relatively high computational complexity, especially for wideband systems 1 . To select multiple beams for each user, a beam selection method following signal to interference plus noise ratio (SINR) maximization is proposed [16], which effectively improves the system sum-rate. However, it needs more RF chains and higher hardware complexity.…”

Section: Introductionmentioning

confidence: 99%

IUG‐based beam selection for wideband millimetre wave massive MIMO systems

Zhu

Guo

et al. 2023

IET Communications

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Beam selection aims to select beams with large power and little inter‐user interference (IUI). In wireless communication scenarios, the levels of IUI are usually different, but, most existing beam selection methods apply the same beam selection criteria for all users, which is detrimental to maintain an attractive trade‐off between computational complexity and system performance. Considering the discrepancy of IUI comprehensively, this paper proposes a beam selection method based on interfering user grouping (IUG) for wideband millimetre‐wave massive multiple‐input multiple‐output (MIMO) systems. Firstly, a candidate beam set (CBS) is constructed in light of the sparsity and power distribution of the beamspace channel. Based on the CBS, all users are classified into non‐interfering users (NIUs), low‐interference users (LIUs) and high‐interference users (HIUs). For NIUs, the beams with large power are selected from CBS under the magnitude maximization (MM) criterion; for LIUs, a novel MM criterion with a tabu list is designed, which can effectively tackle the drawback of assigning shared beams in traditional MM; for HIUs, the incremental algorithm based on the sum‐rate maximization criterion is developed to find the optimal beams from CBS. Simulation results validate that the proposed IUG‐based method can obtain a good performance with lower computational complexity compared with the existing methods.

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“…The authors in [19] proposed a joint mode selection, channel allocation, and power control algorithm using particle swarm optimization to improve the throughput of cellular and D2D users in unlicensed band. In addition, owing to the combination of large-scale antenna and beamforming technology, space can be shared among multiple beam pairs between the users and the base station, and beam-matching methods include beam selection based on maximum capacity, maximum signal to interference plus noise ratio (SINR) [20], interference sensing [21], etc. Last but not least, a new type of node, i.e., aggregation node (AN) for the 5G/Wi-Fi coexisting network is proposed to aggregate traffic before users' data are offloaded to the Wi-Fi network so as to reduce the number of competing users in Wi-Fi access and improve the overall performance [22].…”

Section: Introductionmentioning

confidence: 99%

Joint Spectrum and Power Allocation with User Association for 5G/Wi-Fi Coexisting Millimeter Wave Networks

2023

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With the exponential growth of mobile data traffic, the deployment of a large number of devices in the hot-spot gathering scenario has brought great challenges to the current wireless communication network. Considering that the user service latency of unidirectional data offloading scheme is still unacceptable when 5G and Wi-Fi coexist on the unlicensed 60 GHz band, we investigate a bidirectional data offloading scheme with resource allocation in this study. More specifically, aggregation nodes (ANs) are deployed in the coverage of Wi-Fi AP to receive multi-user data in parallel in order to reduce the collision probability of transmitted packets. Then, we formulate an optimization problem aiming to maximize the sum rate through spectrum and power allocation as well as user association. The problem is then decomposed into three sub-problems and solved successively, where RSSI (received signal strength indicator) as the standard determines the user association, while the algorithms of multi-stage matching and successive convex approximation are used for solving spectrum allocation and power allocation, respectively. Simulation results demonstrate that the proposed algorithm can effectively increase the total capacity of the uplink coexisting networks.

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SINR Maximization Beam Selection for mmWave Beamspace MIMO Systems

Cited by 19 publications

References 35 publications

Spectral Efficiency Improvement of 5G Massive MIMO Systems for High-Altitude Platform Stations by Using Triangular Lattice Arrays

Spectral Efficiency Improvement of 5G Massive MIMO Systems for High-Altitude Platform Stations by Using Triangular Lattice Arrays

IUG‐based beam selection for wideband millimetre wave massive MIMO systems

Joint Spectrum and Power Allocation with User Association for 5G/Wi-Fi Coexisting Millimeter Wave Networks

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