Low Complexity Interference Alignment for mmWave MIMO Channels in Three-Cell Mobile Network

Wang, Chaowei; Qin, Cai; Yao, Yuan; Li, Yong; Wang, Weidong

doi:10.1109/jsac.2017.2699099

Cited by 19 publications

(20 citation statements)

References 49 publications

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“…In [175], a channel estimation scheme is proposed by utilizing the structured sparsity of mmWave MIMO channel, and a training sequence (TS) is designed by the genetic algorithm. In [176], a low complexity non-iterative interference alignment (IA) scheme for multi-cell mmWave MIMO systems is proposed. In [177], a CANDECOMP/PARAFAC decomposition-based channel estimation scheme is proposed for wideband mmWave MIMO by utilizing the tensor theory.…”

Section: F Recent Progressmentioning

confidence: 99%

Millimeter Wave Communications for Future Mobile Networks

Xiao

Mumtaz

Huang

et al. 2017

IEEE J. Select. Areas Commun.

975

530

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Abstract-Millimeter wave (mmWave) communications have recently attracted large research interest, since the huge available bandwidth can potentially lead to rates of multiple Gbps (gigabit per second) per user. Though mmWave can be readily used in stationary scenarios such as indoor hotspots or backhaul, it is challenging to use mmWave in mobile networks, where the transmitting/receiving nodes may be moving, channels may have a complicated structure, and the coordination among multiple nodes is difficult. To fully exploit the high potential rates of mmWave in mobile networks, lots of technical problems must be addressed. This paper presents a comprehensive survey of mmWave communications for future mobile networks (5G and beyond). We first summarize the recent channel measurement campaigns and modeling results. Then, we discuss in detail recent progresses in multiple input multiple output (MIMO) transceiver design for mmWave communications. After that, we provide an overview of the solution for multiple access and backhauling, followed by analysis of coverage and connectivity. Finally, the progresses in the standardization and deployment of mmWave for mobile networks are discussed.

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Section: F Recent Progressmentioning

confidence: 99%

Millimeter Wave Communications for Future Mobile Networks

Xiao

Mumtaz

Huang

et al. 2017

IEEE J. Select. Areas Commun.

975

530

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“…Kang et al proposed a pricing‐based resource allocation scheme to maximize the utilities of the macro base station and femtocell users. The optimal pricing and power control strategies for interference management are derived based on the Stackelberg game . Cong et al developed a pricing‐based spectrum allocation scheme to maximize each user's utility in cooperative relay networks.…”

Section: Related Workmentioning

confidence: 99%

“…The optimal pricing and power control strategies for interference management are derived based on the Stackelberg game. 20 Cong et al 21 developed a pricing-based spectrum allocation scheme to maximize each user's utility in cooperative relay networks.…”

Section: Related Workmentioning

confidence: 99%

Optimal pricing strategy for resource allocation in 5G heterogeneous cellular networks

Chen

Liao

et al. 2018

Trans Emerging Tel Tech

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Heterogeneous networks provide an effective solution to bridge the gap between enormous global traffic demands and limited spectrum resources. In this paper, we investigate the resource allocation problem in fifth‐generation heterogeneous cellular networks from an economic perspective. We consider the open access scenario where any cellular user equipment is allowed to access either the high‐power node or the low‐power node based on its individual payoff. The resource allocation problem is formulated as a pricing problem, which aims at maximizing the total revenue of the service providers under the user admission constraint. Then, the optimal pricing strategies for both the high‐power node and the low‐power node are developed based on the decisions of cellular user equipments. Simulation results demonstrate that the proposed pricing algorithm can achieve the maximum revenue for service providers under various scenarios.

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“…In [10], both the transmitting and receiving ends are shared hybrid beamforming architectures, and an orthogonal matching pursuit (OMP) algorithm for simultaneous beamforming and digital beamforming is proposed for hybrid beamforming architecture. In [12], based on the codebook with the maximum received power as the criterion, the beamforming method is used to solve the analog beamforming, and then the equivalent channel is used to solve the digital beamforming.Applying interference alignment ideas [17][18][19] in wireless networks can achieve higher system capacity. By integrating multiple interfering signals into a small subspace at the receiving end, maximizing the number of non-interfering dimensions remaining in the desired signal minimizes the impact of the interfering signal on the desired signal while maximizing the desired signal energy.…”

mentioning

confidence: 99%

“…By integrating multiple interfering signals into a small subspace at the receiving end, maximizing the number of non-interfering dimensions remaining in the desired signal minimizes the impact of the interfering signal on the desired signal while maximizing the desired signal energy. For the multi-user interference channel communication system, the literature [17] proposed two algorithms for solving the digital precoding matrix and the digital combining matrix based on the idea of interference alignment. The first algorithm reduces the interference signal space solution by minimizing the signal leakage energy of each user.…”

mentioning

confidence: 99%

An Efficient Precoding Scheme for Millimeter-Wave Massive MIMO Systems

Alemaishat¹,

Saraereh

Khan

et al. 2019

Electronics

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Aiming at the problem of high computational complexity due to a large number of antennas deployed in mmWave massive multiple-input multiple-output (MIMO) communication systems, this paper proposes an efficient algorithm for optimizing beam control vectors with low computational complexity based on codebooks for millimeter-wave massive MIMO systems with split sub-arrays hybrid beamforming architecture. A bidirectional method is adopted on the beam control vector of each antenna sub-array both at the transmitter and receiver, which utilizes the idea of interference alignment (IA) and alternating optimization. The simulation results show that the proposed algorithm has low computational complexity, fast convergence, and improved spectral efficiency as compared with the state-of-the-art algorithms.2 of 15 constant constraint so the performance achieved by analog beamforming technology will be limited [6]. Simultaneous use of beamforming in the digital domain and the analog domain can reduce the overhead of the system and compensate for the defects of analog beamforming, making hybrid beamforming a first pre-coding technique [7][8][9][10][11][12][13][14][15][16]. It can be seen from literature [5] that the hybrid beamforming architecture includes a separate sub-array architecture and a shared architecture. The signal on each transmit antenna in the shared architecture is a hybrid superposition of signals on all RF links, and one RF link needs to drive all transmitting antenna. Compared with the shared architecture, one RF link in a separate sub-array architecture is connected to only one antenna sub-array, and each RF link only needs to drive a transmit antenna on the sub-array connected thereto, so the separate sub-array architecture system can effectively reduce energy consumption and hardware complexity. Literature [8] analyzed the relationship between digital beamforming and hybrid beamforming and compared its performance. In [9], an algorithm for determining the sub-array analog beam control vector based on the codebook matching beam pair is proposed for the separate sub-array architecture system. However, the algorithm requires more beam training times, so that it has a high degree of complexity. In [10], both the transmitting and receiving ends are shared hybrid beamforming architectures, and an orthogonal matching pursuit (OMP) algorithm for simultaneous beamforming and digital beamforming is proposed for hybrid beamforming architecture. In [12], based on the codebook with the maximum received power as the criterion, the beamforming method is used to solve the analog beamforming, and then the equivalent channel is used to solve the digital beamforming.Applying interference alignment ideas [17][18][19] in wireless networks can achieve higher system capacity. By integrating multiple interfering signals into a small subspace at the receiving end, maximizing the number of non-interfering dimensions remaining in the desired signal minimizes the impact of the interfering signal on the desired signal while maximizing...

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Low Complexity Interference Alignment for mmWave MIMO Channels in Three-Cell Mobile Network

Cited by 19 publications

References 49 publications

Millimeter Wave Communications for Future Mobile Networks

Millimeter Wave Communications for Future Mobile Networks

Optimal pricing strategy for resource allocation in 5G heterogeneous cellular networks

An Efficient Precoding Scheme for Millimeter-Wave Massive MIMO Systems

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