On Strategies of Multiuser MIMO Transmit Signal Processing

Choi, Ruly Lai-U; Ivrlač, Michel T.; Murch, R.D.; Utschick, Wolfgang

doi:10.1109/twc.2004.837636

Cited by 31 publications

(24 citation statements)

References 10 publications

(12 reference statements)

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“…Under this approach, we use the correlation function expression (19) to obtain the mean and variance of the mutual information. The μ I A can be obtained by averaging over the ensemble of W as [9] …”

Section: Correlation Function Basedmentioning

confidence: 99%

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On the Exact Distribution of Mutual Information of Two-User MIMO MAC Based on Quotient Distribution of Wishart Matrices

Pivaro¹,

Kumar²,

Fraidenraich³

2017

J Wireless Com Network

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The pre-print version of this work can be found in https://arxiv.org/pdf/1601.03439v1.pdf. AbstractWe propose an exact calculation of the probability density function (PDF) and cumulative distribution function (CDF) of mutual information (MI) for a two-user multiple-input multiple-output (MIMO) multiple access channel (MAC) network over block Rayleigh fading channels. This scenario can be found in the uplink channel of MIMO non-orthogonal multiple access (NOMA) system, a promising multiple access technique for 5G networks. So far, the PDF and CDF have been numerically evaluated since MI depends on the quotient of two Wishart matrices, and no closed form for this quotient was available. We derive exact results for the PDF and CDF of extreme (the smallest/the largest) eigenvalues. Based on the results of quotient ensemble, the exact calculation for PDF and CDF of mutual information is presented via Laplace transform approach and by direct integration of joint PDF of quotient ensemble's eigenvalues. Furthermore, our derivations also provide the parameters to apply the Gaussian approximation method, which is comparatively easier to implement. We show that approximation matches the exact results remarkably well for outage probability, i.e., CDF, above 10%. However, the approximation could also be used for 1% outage probability with a relatively small error. We apply the derived expressions to investigate the effects of adding antennas in the receiver and its ability to decode the weak user signal. By supposing no channel knowledge at transmitters and successive decoding at receiver, the capacity of the weak user increases and its outage probability decreases with the increment of extra antennas at the receiver end.

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Section: Correlation Function Basedmentioning

confidence: 99%

“…Therefore, with the aid of one-point and two-point correlation functions (19), this can be written as…”

Section: Correlation Function Basedmentioning

confidence: 99%

On the Exact Distribution of Mutual Information of Two-User MIMO MAC Based on Quotient Distribution of Wishart Matrices

Pivaro¹,

Kumar²,

Fraidenraich³

2017

J Wireless Com Network

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“…Recent years have shown a considerable shift of research on MIMO from point-to-point to multiuser systems [1] [4]. The initial studies concerning a point-to-point MIMO system have shown a linear improvement in capacity with an increase of minimum number of transmit and receive antennas in a rich scattering environment.…”

Section: Introduction )mentioning

confidence: 99%

“…The initial studies concerning a point-to-point MIMO system have shown a linear improvement in capacity with an increase of minimum number of transmit and receive antennas in a rich scattering environment. Recent information theories on a multiuser MIMO system have proved that the sum broadcasting capacity can be achieved by Dirty Paper Coding (DPC) [3] [4]. However, the implementation of an optimal broadcasting scheme is computationally intensive and complicated.…”

Section: Introduction )mentioning

confidence: 99%

Performance of multiuser MIMO system employing block diagonalization with antenna selection at mobile stations

Wang

Bialkowski

2010

2010 2nd International Conference on Signal Processing Systems

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Abstract-This paper reports investigations into capacity of a multiuser Multiple-Input Multiple-Output (MIMO) system which uses a block diagonalization (BD) scheme with antenna selection at mobile stations (MSs). It is shown that the antenna selection at MSs improves capacity while at the same time it offers an effective solution to hardware size and cost. Also it is advantageous from the point of view of simplicity of signal processing at mobile stations. Two antenna selection schemes are investigated, one is the norm-based selection and the other is project-maximization selection. The simulations results show that the project-maximization selection is superior over the norm-based selection.

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“…Although equal power allocation does not maximize the overall throughput, the investigation of the performance with equal power allocation is still valuable because of its simplicity as explained in [22]. The reduction in calculation overhead for the large number of MT case is one of the most important issues addressed by this paper.…”

Section: Introductionmentioning

confidence: 99%

A New User Selection Measure in Block Diagonalization Algorithm for Multiuser MIMO Systems

Kudo

Takatori

Nishimori

et al. 2009

IEICE Trans. Commun.

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SUMMARYMultiuser -Multiple Input Multiple Output (MU-MIMO) techniques were proposed to increase spectrum efficiency; a key assumption was that the Mobile Terminals (MTs) were simple with only a few antennas. This paper focuses on the Block Diagonalization algorithm (BD) based on the equal power allocation strategy as a practical MU-MIMO technique. When there are many MTs inside the service area of the access point (AP), the AP must determine, at each time slot, the subset of the MTs to be spatially multiplexed. Since the transmission performance depends on the subsets of MTs, the user selection method needs to use the Channel State Information (CSI) obtained in the physical layer to maximize the Achievable Transmission Rate (ATR). In this paper, we clarify the relationship between ATR with SU-MIMO and that with MU-MIMO in a high eigenvalue channel. Based on the derived relationship, we propose a new measure for user selection. The new measure, the eigenvalue decay factor, represents the degradation of the eigenvalues in null space compared to those in SU-MIMO; it is obtained from the signal space vectors of the MTs. A user selection method based on the proposed measure identifies the combination of MTs that yields the highest ATR; our approach also reduces the computational load of user selection. We evaluate the effectiveness of user selection with the new measure using numerical formulations and computer simulations.

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On Strategies of Multiuser MIMO Transmit Signal Processing

Cited by 31 publications

References 10 publications

On the Exact Distribution of Mutual Information of Two-User MIMO MAC Based on Quotient Distribution of Wishart Matrices

On the Exact Distribution of Mutual Information of Two-User MIMO MAC Based on Quotient Distribution of Wishart Matrices

Performance of multiuser MIMO system employing block diagonalization with antenna selection at mobile stations

A New User Selection Measure in Block Diagonalization Algorithm for Multiuser MIMO Systems

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