MIMO Systems With Quantized Covariance Feedback

Krishnamachari, Rajesh Tembarai; Varanasi, Mahesh K.; Mohanty, Kaniska

doi:10.1109/tsp.2013.2292036

Cited by 14 publications

(17 citation statements)

References 24 publications

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“…The dimensions of the manifolds, computed here, arise in characterizing bounds on the expected distortion due to random quantization of sources distributed on the Pn manifolds as well as the rate-distortion tradeoff for sources uniformly distributed on the Pn manifolds (see Section IV) and in characterizing the tradeoff between capacity loss and the feedback rate in wireless communication systems with limited feedback (cf. [14]) that employ the feedback channel to send quantized transmit covariance matrices, as is done in the sequel [10]. The result on coordinates assists in understanding parametrization of the feedback information therein.…”

Section: )mentioning

confidence: 98%

“…As we will see in a sequel to this paper on the application of the results herein to multiple-antenna wireless communications [10], the trace equality and the trace inequality constraint are of interest. Similarly, the fourth and final parameter pertains to the rank of and we will be interested in both the rank inequality for some as well as the rank equality constraint (see [10]). Summarizing the above discussion, we note that sizecovariance matrices can be classified into eight different manifolds, denoted as the Pn-manifolds.…”

Section: Introductionmentioning

confidence: 99%

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On the Geometry and Quantization of Manifolds of Positive Semi-Definite Matrices

Krishnamachari

Varanasi

2013

IEEE Trans. Signal Process.

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The geometry of different spaces of positive semi-definite matrices buffeted by rank and trace constraints is studied. In addition to revealing their Riemannian structure, we derive the normalized volume of a ball over these spaces. Further, we use the leading coefficient from the ball volume expansion to bound the quantization error incurred with finite-sized sphere-packing codebooks as well as random codebooks to represent sources distributed over general Riemannian manifolds.

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Section: )mentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

On the Geometry and Quantization of Manifolds of Positive Semi-Definite Matrices

Krishnamachari

Varanasi

2013

IEEE Trans. Signal Process.

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“…Regarding the e-healthcare applications, we have extensively studied the uses of the Pn-manifold [9] and how it has been designed to improve the accuracy, rate and connectivity performance of the wireless communication systems. The MIMO system needs Pn-manifold because it www.ijacsa.thesai.org reduces the complexity and power consumptions.…”

Section: Literature Review and Backgroundmentioning

confidence: 99%

“…Minimizing errors during the medical tests or examination procedures will improve the accuracy and efficiency of the e-healthcare technology. Efficient design and analysis allow us to minimize the errors of the e-healthcare applications when the proposed technique, which uses the novel approach of MIMO channel with feedback and Pnmanifold is employed in medical communication [9]. Here, the Pn-manifold influenced with the channel matrix is used for calculating best resolution and quantization, which provides the high quality communication channel and flexible rates to the e-healthcare system.…”

Section: Introductionmentioning

confidence: 99%

Integration of Wearable Smart Sensor for Improving e-Healthcare

Thayananthan¹,

Basuhail²

2017

ijacsa

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Abstract-Analyzing health conditions using sensors is one of the daily activities in a healthcare organization. The purpose of this research is to improve the e-healthcare formulated through the integration of wearable smart sensors and miniaturized devices. In this research, monitoring glucose level of the diabetic is considered as an example of the non-linear problem in which we show that accuracy and efficiency of e-healthcare can be achieved through Multiple-input, multiple-output (MIMO) system. In this novel technique, Pn-manifolds, which are the nonlinear mathematical approach, provide the flexible rate and enhance the accuracy and efficiency of the medical systems in the e-healthcare services.

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“…If the channel state information (CSI) is considered, the feedback employed in the receiver should be optimized to improve EE performance. The optimal feedback design using appropriate manifolds and massive MIMO can be analyzed through energy-efficient algorithms depended on the channel matrix, which needs a manifold to improve the rank and dimension of the covariance matrix [3], [4]. Complexity is a serious concern for massive MIMO because the dimension of the matrix is influenced directly.…”

Section: Introductionmentioning

confidence: 99%

Relevance of Energy Efficiency Gain in Massive MIMO Wireless Network

Alzahrani¹,

Thayananthan²,

Qureshi³

2017

ijacsa

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Abstract-The massive MIMO and energy efficiency (EE) analysis for the next generation technology are the hottest topics in wireless network research. This paper explains about massive MIMO wireless networks and EE for manifold channel which is an evolution massive MIMO. This research will help to design and implement a practical system of next generation network based on massive MIMO where efficient processing provides EE gain. In order to approach this research, different types of manifolds are considered with efficient techniques that depend on the rank of the channel matrix. Employing the specific manifold that helps to analyze the rate of the feedback increases not only the overall performance of the MIMO system but also the EE. We studied the convergence techniques used for optimizing quantization errors which have influences with manifold feedback. Here, we have focused on relevant areas which are very important to analyze EE gain in the future massive network. According to the selected results obtained in this research, many challenges will be possible to make useful proposals.

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MIMO Systems With Quantized Covariance Feedback

Cited by 14 publications

References 24 publications

On the Geometry and Quantization of Manifolds of Positive Semi-Definite Matrices

On the Geometry and Quantization of Manifolds of Positive Semi-Definite Matrices

Integration of Wearable Smart Sensor for Improving e-Healthcare

Relevance of Energy Efficiency Gain in Massive MIMO Wireless Network

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