On the Efficient Beam-Forming Training for 60GHz Wireless Personal Area Networks

Li, Bin; Zhou, Zheng; Zou, Weixia; Sun, Xiaoying; Du, Geng

doi:10.1109/twc.2012.121412.110419

Cited by 138 publications

(93 citation statements)

References 17 publications

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“…Although exhaustive search is feasible and can always find the best MPC, it has a time complexity O(N 2 ) [27], [35], which is too high for large arrays. Thus, hierarchical search is widely used to reduce the search time.…”

Section: B Channel Modelmentioning

confidence: 99%

Hierarchical Codebook Design for Beamforming Training in Millimeter-Wave Communication

Xiao

Xia

et al. 2016

IEEE Trans. Wireless Commun.

478

389

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Abstract-In millimeter-wave communication, large antenna arrays are required to achieve high power gain by steering towards each other with narrow beams, which poses the problem to efficiently search the best beam direction in the angle domain at both Tx and Rx sides. As the exhaustive search is time consuming, hierarchical search has been widely accepted to reduce the complexity, and its performance is highly dependent on the codebook design. In this paper, we propose two basic criteria for the hierarchical codebook design, and devise an efficient hierarchical codebook by jointly exploiting sub-array and deactivation (turning-off) antenna processing techniques, where closed-form expressions are provided to generate the codebook. Performance evaluations are conducted under different system and channel models. Results show superiority of the proposed codebook over the existing alternatives.Index Terms-Millimeter wave communication, mmWave, beamforming, codebook design, hierarchial search.

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Section: B Channel Modelmentioning

confidence: 99%

Hierarchical Codebook Design for Beamforming Training in Millimeter-Wave Communication

Xiao

Xia

et al. 2016

IEEE Trans. Wireless Commun.

478

389

View full text Add to dashboard Cite

show abstract

“…Step 1: Obtain the downlink sub-frame numbers l i and l according to formulas (1) and (2). Partition the cells into three groups: left-shifting group B L , right-shifting group B R , and non-shifting group B M .…”

Section: Shifting Flowmentioning

confidence: 99%

“…5G is considered to be a converged network, many key technologies studied in recent years, e.g., cognitive radios and millimeter-wave communications, will be applied in 5G systems [1][2][3]. An important characteristic of 5G system is the ultra-dense network deployment.…”

Section: Introductionmentioning

confidence: 99%

Service- and interference-aware dynamic TDD design in 5G ultra-dense network scenario

Gao¹,

Binyong²,

Chuai³

2017

J Wireless Com Network

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The 5G wireless communication system supports varied applications, making the uplink/downlink traffic asymmetry more and more serious. Dynamic time division duplex (TDD) technique has become a key technology of 5G networks due to its flexibility to support asymmetric services. In this paper, we study dynamic TDD sub-frame reconfiguration algorithm based on shifting. Firstly, we define cell shifting priority considering both traffic and interference. Then, we perform cell shifting-based TDD sub-frame reconfiguration following cell shifting priority. Simulation results show that the proposed dynamic TDD algorithm can guarantee high data rate and low interference, thus effectively increases the network throughput.

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“…In recent years, many foreign academic communities and enterprise alliances were opened for the research of the 60GHz pulse wireless communication technology. But the research is mainly focused on the design of transceiver [16,18,21], the establishment of channel model [2,9], the standards the physical layer and MAC layer of communication [10], the transceiver antenna beam shaping [12,13,26] and so on. Currently, the research of the 60GHz pulse positioning is still relatively deficient, and lack of an integral theoretical system.…”

Section: Introductionmentioning

confidence: 99%

Indoor precise positioning algorithm using 60GHz pulse based on compressive sensing

Han¹,

Wang²,

Shi³

et al. 2016

J. Math. Computer Sci.

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Aiming at the existing defect of poor positioning accuracy in NLOS (Non Line of Sight) environment for most of the common indoor positioning algorithms, this paper proposes a precise indoor positioning algorithm using 60GHz pulse based on compressed sensing. The proposed algorithm converts the location of the target nodes in the area to be located into a sparse vector and designs the over-completed dictionary using TOA (Time of Arrival)-based ranging, then takes advantage of the l 1 -minimization to reconstruct the location of the target nodes. The algorithm divides the positioning process into coarse positioning and fine positioning, and introduces the reference node selection mechanism in fine positioning. The algorithm not only can achieve the positioning of single target, but also achieve the positioning of multiple targets. Through the theoretical analysis and experiment simulation results, we can conclude that the proposed algorithm using 60GHz pulse can achieve precise indoor positioning in NLOS environment and centimeter-level positioning precision can be obtained compared with TOA based 60GHz geometric positioning algorithm.

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On the Efficient Beam-Forming Training for 60GHz Wireless Personal Area Networks

Cited by 138 publications

References 17 publications

Hierarchical Codebook Design for Beamforming Training in Millimeter-Wave Communication

Hierarchical Codebook Design for Beamforming Training in Millimeter-Wave Communication

Service- and interference-aware dynamic TDD design in 5G ultra-dense network scenario

Indoor precise positioning algorithm using 60GHz pulse based on compressive sensing

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