Joint Transmit and Receive Analog Beamforming in 60 GHz MIMO Multipath Channels

Nsenga, Jimmy; Thillo, Wim Van; Horlin, François; Ramon, V.; Bourdoux, André; Lauwereins, Rudy

doi:10.1109/icc.2009.5199125

Cited by 30 publications

(22 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to channel measurement results for mmWave communication [ 13 , 37 ], mostly reflection contributes to generating multipath components (MPCs) besides the LOS component; scattering and diffraction effects are little due to the extremely short wavelength of mmWave communication. Thus, the MPCs in mmWave communication have a feature of directivity [ 22 , 23 , 24 , 38 , 39 ], i.e., different MPCs have different physical angles of departure (AoDs), i.e.,

and

, as well as angles of arrival (AoAs), e.g.,

and

, as shown in Figure 1 . In general, mmWave signals have a wide band, and thus a frequency selective channel may be suitable [ 40 ].…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

“…As a result, the effect of delay spread may be substantially mitigated [ 41 ]. Due to this reason, a frequency flat channel model is extensively used in mmWave communication [ 22 , 23 , 24 , 38 , 39 ], and the (narrow band) communication channels can be expressed as

and

where M and L are the numbers of MPCs,

and

are the coefficients of MPCs,

and

are receive steering vectors,

and

are transmit steering vectors of

and

, respectively. For uniform linear arrays (ULAs) with half-wavelength spacing, these steering vectors are defined as Equation (4), and they are all functions of the corresponding steering angles.…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

“…As this problem is non-convex, suboptimal solutions are expected. The existing JTR-BF schemes proposed in mmWave communications are basically infeasible, because SI was not considered in these schemes [ 13 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ]. Although the mitigation of loopback SI [ 27 , 28 ] as well as the utilization of loopback SI [ 29 , 30 ] are considered in multiple-input multiple-output (MIMO) relays, these methods cannot be employed in our setup, as their signal models are built for relay systems, but in this paper a bi-directional FD transmission system is considered.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Beamforming Based Full-Duplex for Millimeter-Wave Communication

Liu

Xiao

Bai

et al. 2016

Sensors

View full text Add to dashboard Cite

In this paper, we study beamforming based full-duplex (FD) systems in millimeter-wave (mmWave) communications. A joint transmission and reception (Tx/Rx) beamforming problem is formulated to maximize the achievable rate by mitigating self-interference (SI). Since the optimal solution is difficult to find due to the non-convexity of the objective function, suboptimal schemes are proposed in this paper. A low-complexity algorithm, which iteratively maximizes signal power while suppressing SI, is proposed and its convergence is proven. Moreover, two closed-form solutions, which do not require iterations, are also derived under minimum-mean-square-error (MMSE), zero-forcing (ZF), and maximum-ratio transmission (MRT) criteria. Performance evaluations show that the proposed iterative scheme converges fast (within only two iterations on average) and approaches an upper-bound performance, while the two closed-form solutions also achieve appealing performances, although there are noticeable differences from the upper bound depending on channel conditions. Interestingly, these three schemes show different robustness against the geometry of Tx/Rx antenna arrays and channel estimation errors.

show abstract

and

, as well as angles of arrival (AoAs), e.g.,

and

, as shown in Figure 1 . In general, mmWave signals have a wide band, and thus a frequency selective channel may be suitable [ 40 ].…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

and

where M and L are the numbers of MPCs,

and

are the coefficients of MPCs,

and

are receive steering vectors,

and

are transmit steering vectors of

and

Section: System Model and Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Beamforming Based Full-Duplex for Millimeter-Wave Communication

Liu

Xiao

Bai

et al. 2016

Sensors

View full text Add to dashboard Cite

show abstract

“…Consequently, mmWave channels are relevant to the geometry of antenna arrays. With half-spaced ULAs adopted at the transmitter and receiver, the channel matrix can be expressed as [19], [26], [27], [29], [33], [34] …”

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.

445

389

View full text Add to dashboard Cite

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.

show abstract

“…2 and 3 is such that the relative change between two successive loops is no larger than an error ε or the number of loops is no >50. The number of randomisations to obtain a valid solution to (9) from the solution to the SDP relaxation (11) is set to Y = 500.…”

Section: Performance Evaluationmentioning

confidence: 99%

Multi‐user hybrid analogue/digital beamforming for relatively large‐scale antenna systems

Geng¹,

Wang

Wei

et al. 2014

IET Communications

View full text Add to dashboard Cite

Power consumption and costs of analogue front-end (AFE) chains are often not negligible for large-scale antenna array systems. A low-complexity hardware architecture is to use a number of AFE chains that are less than the number of antennas. Beamforming for this low-complexity hardware architecture involves both digital and analogue beamforming, which is termed hybrid analogue/digital beamforming. In this study, minimising the transmit power subject to signal-to-interferenceplus-noise ratio (SINR) constraints and maximising the minimal SINR under the constraint of the transmit power, are investigated, respectively, for hybrid analogue/digital beamforming. Properties on the feasibility and optimality of the two problems are derived. Numerical algorithms based on semi-definite positive relaxation are proposed in an attempt to solve the two optimisation problems. The performance of the proposed algorithms is evaluated under the Gaussian and 60 GHz channel models. It is shown that the performance of hybrid analogue/digital beamforming is highly related to the correlation of the channel coefficients of subcarriers. Additionally, for different extents of the users' spatial separability, some heuristics ways of designing analogue beamforming are shown to be able to approach to at least the local optimums under the 60 GHz channel model.

show abstract

Joint Transmit and Receive Analog Beamforming in 60 GHz MIMO Multipath Channels

Cited by 30 publications

References 7 publications

Beamforming Based Full-Duplex for Millimeter-Wave Communication

Beamforming Based Full-Duplex for Millimeter-Wave Communication

Hierarchical Codebook Design for Beamforming Training in Millimeter-Wave Communication

Multi‐user hybrid analogue/digital beamforming for relatively large‐scale antenna systems

Contact Info

Product

Resources

About