Sum rates, rate allocation, and user scheduling for multi-user MIMO vector perturbation precoding

Razi, Adeel; Ryan, Daniel J.; Collings, Iain B.; Yuan, Jinhong

doi:10.1109/twc.2010.01.090649

Cited by 45 publications

(52 citation statements)

References 23 publications

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“…1, we plot the sum rate for the R-VPP scheme by entropy estimation. For comparison we plot the exact sum rate for VPP [6], in which ℰ se (F) is calculated by using Monte Carlo simulations. We also include plots for DPC and ZF-WF [2].…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…In the context as above, a practical transmission method with near DPC sum rates at high signal-to-noise ratio (SNR) is vector perturbation precoding (VPP) [5,6]. In VPP, the data vector is mapped or 'perturbed' to the Voronoi region of a lattice determined by the channel matrix.…”

Section: Introductionmentioning

confidence: 99%

“…Hence the sum rate and error performance of the scheme are dependent on ℰ se . Since the perturbation step involves solving an NP-hard closest lattice point search therefore finding expressions for ℰ se , and the corresponding sum rate is difficult [6,[8][9][10], and closed form solutions do not exist. However in [6], a closed form high-SNR upper bound on VPP sum rate is proposed based on a simple closed form lower bound for ℰ se [8].…”

Section: Introductionmentioning

confidence: 99%

“…Although, the VPP sum rates are near DPC at high-SNR, there exists a gap between DPC and VPP at low to mid SNR [5,6]. To bridge this gap, Howchwald et al proposed to use regularized VPP (R-VPP) but used simulations to optimize the regularization parameter [5].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Sum rates for regularized multi-user MIMO vector perturbation precoding

Razi

Ryan

Yuan

et al. 2011

2011 8th International Symposium on Wireless Communication Systems

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In this paper, we analyze the sum rate performance of multiuser multi-antenna downlink channel. We consider Rayleigh fading environment when regularized vector perturbation precoding (R-VPP) method is used at the transmitter. The sum rate characterization of R-VPP is difficult because of the correlation between the multiuser interference and the data symbols. We derive expressions for the sum rate in terms of the variance of the received signal. We also provide a closed form approximation for the mean squared error (MSE) which is shown to work well for the whole range of SNR. Further, we also propose a simpler expression for R-VPP sum rate based on MSE. The simulation results show that the proposed expressions for R-VPP sum rate closely match the sum rate found by the entropy estimation, and also confirm that R-VPP performs very close to dirty paper coding (DPC) for all SNR values.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Sum rates for regularized multi-user MIMO vector perturbation precoding

Razi

Ryan

Yuan

et al. 2011

2011 8th International Symposium on Wireless Communication Systems

Self Cite

View full text Add to dashboard Cite

show abstract

“…where w 0 vi is the per dimensional folded Gaussian noise of ∧ ζ (w vi ) and its distribution f (w 0 vi ) may be formulated as [36] f (w…”

Section: I(s S S; Y Y Y) = I(b B B; Y Y Y|c) + I(c; Y Y Y)mentioning

confidence: 99%

Performance Analysis of Non-Linear Generalized Pre-Coding Aided Spatial Modulation

Zhang

Yang

Hanzo

2016

IEEE Trans. Wireless Commun.

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Abstract-Developed from the recently emerged Generalised Pre-coding aided Spatial Modulation (GPSM) concept, a novel non-linear GPSM scheme based on the powerful Vector Perturbation (VP) philosophy is proposed, where a particular subset of receive antennas is activated and the specific activation pattern itself conveys useful implicit information in addition to the conventional modulated and perturbed symbols. Explicitly, both the infinite and the finite alphabet capacity are derived for the proposed non-linear GPSM scheme. The associated complexity, energy efficiency and error probability are also investigated. Our numerical results show that, as the only known nonlinear realisation within the Spatial Modulation (SM) family, the proposed scheme constitutes to be an attractive solution to the flexible design of 'green' transceivers, since it is capable of striking a compelling compromise amongst the key performance indicators of throughput, energy consumption, complexity and performance. Particularly, in the challenging full-rank scenario, conveying information through RA indices exhibits a lower complexity, a higher energy efficiency and a better error resilience than that of the conventional arrangement.

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User scheduling for multi‐antenna downland channels with limited feedback

Razi

Shao

Yuan

2011

Trans. Emerg. Telecomms. Techs.

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In this paper, several multi-user scheduling algorithms with limited channel feedback are proposed for multi-antenna downland channels. With little channel quality information (CQI) and channel direction information (CDI) at multi-antenna base station, multi-user scheduling algorithms are carefully designed to maximise the potential system throughput while reducing the feedback load. We first propose a scheduling algorithm that requires a quantised CDI and a threshold CQI. Then we propose a scheduling that needs limited feedback of a threshold CDI and a perfect CQI. Both scheduling algorithms are studied in terms of the achievable throughput and the feedback load. Analytical results show that the proposed scheduling with limited channel feedback has a small performance degradation compared with the scheduling with unlimited channel feedback when the thresholds for user scheduling are judiciously designed. Moreover, under a per user total bit rate constraint of the feedback channel, we propose a scheduling with the quantisation of both CQI and CDI. It is demonstrated that allocating 1 bit to the CQI with an optimal threshold and the remaining bits to the CDI achieves the near optimal sum-rate performance. Under the assumption of independent and identically distributed (i.i.d.) users channel statistics, CSI can be decomposed into the spatial direction part and the quality 36

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Sum rates, rate allocation, and user scheduling for multi-user MIMO vector perturbation precoding

Cited by 45 publications

References 23 publications

Sum rates for regularized multi-user MIMO vector perturbation precoding

Sum rates for regularized multi-user MIMO vector perturbation precoding

Performance Analysis of Non-Linear Generalized Pre-Coding Aided Spatial Modulation

User scheduling for multi‐antenna downland channels with limited feedback

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