The Experts below are selected from a list of 386790 Experts worldwide ranked by ideXlab platform
Zhi Ning Chen - One of the best experts on this subject based on the ideXlab platform.
-
Electromagnetic lens-focusing antenna enabled massive MIMO: Performance improvement and Cost Reduction
IEEE Journal on Selected Areas in Communications, 2014Co-Authors: Yong Zeng, Rui Zhang, Zhi Ning ChenAbstract:Massive multiple-input–multiple-output (MIMO) techniques have been recently advanced to tremendously improve the performance of wireless communication networks. However, the use of very large antenna arrays at the base stations brings new issues, such as the significantly increased hardware and signal processing Costs. In order to reap the performance gains of massive MIMO and yet reduce its Cost, this paper proposes a novel system design by integrating an electromagnetic (EM) lens with the large antenna array, termed the EM-lens enabled MIMO. The EM lens has the capability of focusing the power of an incident wave to a small area of the antenna array, whereas the location of the focal area varies with the angle of arrival (AoA) of the wave. Hence, in scenarios where the arriving signals from geographically separated users have different AoAs, the EM-lens enabled receiver provides two new benefits, namely, energy focusing and spatial interference rejection. By taking into account the effects of imperfect channel estimation via pilot-assisted training, in this paper, we analytically show that the average received signal-to-noise ratio in both the single-user and multiuser uplink transmissions can be improved by the EM-lens enabled system. Furthermore, we demonstrate that the proposed design makes it possible to considerably reduce the hardware and signal processing Costs with only slight degradations in performance. To this end, two complexity/Cost Reduction schemes are proposed, which are small-MIMO processing with parallel receiver filtering applied over subgroups of antennas to reduce the computational complexity, and channel covariance based antenna selection to reduce the required number of radio frequency chains. Numerical results are provided to corroborate our analysis and show the great potential advan- ages of our proposed EM-lens enabled MIMO system for next generation cellular networks.
-
electromagnetic lens focusing antenna enabled massive mimo performance improvement and Cost Reduction
arXiv: Information Theory, 2013Co-Authors: Yong Zeng, Rui Zhang, Zhi Ning ChenAbstract:Massive multiple-input multiple-output (MIMO) techniques have been recently advanced to tremendously improve the performance of wireless communication networks. However, the use of very large antenna arrays at the base stations (BSs) brings new issues, such as the significantly increased hardware and signal processing Costs. In order to reap the enormous gain of massive MIMO and yet reduce its Cost to an affordable level, this paper proposes a novel system design by integrating an electromagnetic (EM) lens with the large antenna array, termed the EM-lens enabled MIMO. The EM lens has the capability of focusing the power of an incident wave to a small area of the antenna array, while the location of the focal area varies with the angle of arrival (AoA) of the wave. Therefore, in practical scenarios where the arriving signals from geographically separated users have different AoAs, the EM-lens enabled system provides two new benefits, namely energy focusing and spatial interference rejection. By taking into account the effects of imperfect channel estimation via pilot-assisted training, in this paper we analytically show that the average received signal-to-noise ratio (SNR) in both the single-user and multiuser uplink transmissions can be strictly improved by the EM-lens enabled system. Furthermore, we demonstrate that the proposed design makes it possible to considerably reduce the hardware and signal processing Costs with only slight degradations in performance. To this end, two complexity/Cost Reduction schemes are proposed, which are small-MIMO processing with parallel receiver filtering applied over subgroups of antennas to reduce the computational complexity, and channel covariance based antenna selection to reduce the required number of radio frequency (RF) chains. Numerical results are provided to corroborate our analysis.
Yong Zeng - One of the best experts on this subject based on the ideXlab platform.
-
Electromagnetic lens-focusing antenna enabled massive MIMO: Performance improvement and Cost Reduction
IEEE Journal on Selected Areas in Communications, 2014Co-Authors: Yong Zeng, Rui Zhang, Zhi Ning ChenAbstract:Massive multiple-input–multiple-output (MIMO) techniques have been recently advanced to tremendously improve the performance of wireless communication networks. However, the use of very large antenna arrays at the base stations brings new issues, such as the significantly increased hardware and signal processing Costs. In order to reap the performance gains of massive MIMO and yet reduce its Cost, this paper proposes a novel system design by integrating an electromagnetic (EM) lens with the large antenna array, termed the EM-lens enabled MIMO. The EM lens has the capability of focusing the power of an incident wave to a small area of the antenna array, whereas the location of the focal area varies with the angle of arrival (AoA) of the wave. Hence, in scenarios where the arriving signals from geographically separated users have different AoAs, the EM-lens enabled receiver provides two new benefits, namely, energy focusing and spatial interference rejection. By taking into account the effects of imperfect channel estimation via pilot-assisted training, in this paper, we analytically show that the average received signal-to-noise ratio in both the single-user and multiuser uplink transmissions can be improved by the EM-lens enabled system. Furthermore, we demonstrate that the proposed design makes it possible to considerably reduce the hardware and signal processing Costs with only slight degradations in performance. To this end, two complexity/Cost Reduction schemes are proposed, which are small-MIMO processing with parallel receiver filtering applied over subgroups of antennas to reduce the computational complexity, and channel covariance based antenna selection to reduce the required number of radio frequency chains. Numerical results are provided to corroborate our analysis and show the great potential advan- ages of our proposed EM-lens enabled MIMO system for next generation cellular networks.
-
electromagnetic lens focusing antenna enabled massive mimo performance improvement and Cost Reduction
arXiv: Information Theory, 2013Co-Authors: Yong Zeng, Rui Zhang, Zhi Ning ChenAbstract:Massive multiple-input multiple-output (MIMO) techniques have been recently advanced to tremendously improve the performance of wireless communication networks. However, the use of very large antenna arrays at the base stations (BSs) brings new issues, such as the significantly increased hardware and signal processing Costs. In order to reap the enormous gain of massive MIMO and yet reduce its Cost to an affordable level, this paper proposes a novel system design by integrating an electromagnetic (EM) lens with the large antenna array, termed the EM-lens enabled MIMO. The EM lens has the capability of focusing the power of an incident wave to a small area of the antenna array, while the location of the focal area varies with the angle of arrival (AoA) of the wave. Therefore, in practical scenarios where the arriving signals from geographically separated users have different AoAs, the EM-lens enabled system provides two new benefits, namely energy focusing and spatial interference rejection. By taking into account the effects of imperfect channel estimation via pilot-assisted training, in this paper we analytically show that the average received signal-to-noise ratio (SNR) in both the single-user and multiuser uplink transmissions can be strictly improved by the EM-lens enabled system. Furthermore, we demonstrate that the proposed design makes it possible to considerably reduce the hardware and signal processing Costs with only slight degradations in performance. To this end, two complexity/Cost Reduction schemes are proposed, which are small-MIMO processing with parallel receiver filtering applied over subgroups of antennas to reduce the computational complexity, and channel covariance based antenna selection to reduce the required number of radio frequency (RF) chains. Numerical results are provided to corroborate our analysis.
Rui Zhang - One of the best experts on this subject based on the ideXlab platform.
-
Electromagnetic lens-focusing antenna enabled massive MIMO: Performance improvement and Cost Reduction
IEEE Journal on Selected Areas in Communications, 2014Co-Authors: Yong Zeng, Rui Zhang, Zhi Ning ChenAbstract:Massive multiple-input–multiple-output (MIMO) techniques have been recently advanced to tremendously improve the performance of wireless communication networks. However, the use of very large antenna arrays at the base stations brings new issues, such as the significantly increased hardware and signal processing Costs. In order to reap the performance gains of massive MIMO and yet reduce its Cost, this paper proposes a novel system design by integrating an electromagnetic (EM) lens with the large antenna array, termed the EM-lens enabled MIMO. The EM lens has the capability of focusing the power of an incident wave to a small area of the antenna array, whereas the location of the focal area varies with the angle of arrival (AoA) of the wave. Hence, in scenarios where the arriving signals from geographically separated users have different AoAs, the EM-lens enabled receiver provides two new benefits, namely, energy focusing and spatial interference rejection. By taking into account the effects of imperfect channel estimation via pilot-assisted training, in this paper, we analytically show that the average received signal-to-noise ratio in both the single-user and multiuser uplink transmissions can be improved by the EM-lens enabled system. Furthermore, we demonstrate that the proposed design makes it possible to considerably reduce the hardware and signal processing Costs with only slight degradations in performance. To this end, two complexity/Cost Reduction schemes are proposed, which are small-MIMO processing with parallel receiver filtering applied over subgroups of antennas to reduce the computational complexity, and channel covariance based antenna selection to reduce the required number of radio frequency chains. Numerical results are provided to corroborate our analysis and show the great potential advan- ages of our proposed EM-lens enabled MIMO system for next generation cellular networks.
-
electromagnetic lens focusing antenna enabled massive mimo performance improvement and Cost Reduction
arXiv: Information Theory, 2013Co-Authors: Yong Zeng, Rui Zhang, Zhi Ning ChenAbstract:Massive multiple-input multiple-output (MIMO) techniques have been recently advanced to tremendously improve the performance of wireless communication networks. However, the use of very large antenna arrays at the base stations (BSs) brings new issues, such as the significantly increased hardware and signal processing Costs. In order to reap the enormous gain of massive MIMO and yet reduce its Cost to an affordable level, this paper proposes a novel system design by integrating an electromagnetic (EM) lens with the large antenna array, termed the EM-lens enabled MIMO. The EM lens has the capability of focusing the power of an incident wave to a small area of the antenna array, while the location of the focal area varies with the angle of arrival (AoA) of the wave. Therefore, in practical scenarios where the arriving signals from geographically separated users have different AoAs, the EM-lens enabled system provides two new benefits, namely energy focusing and spatial interference rejection. By taking into account the effects of imperfect channel estimation via pilot-assisted training, in this paper we analytically show that the average received signal-to-noise ratio (SNR) in both the single-user and multiuser uplink transmissions can be strictly improved by the EM-lens enabled system. Furthermore, we demonstrate that the proposed design makes it possible to considerably reduce the hardware and signal processing Costs with only slight degradations in performance. To this end, two complexity/Cost Reduction schemes are proposed, which are small-MIMO processing with parallel receiver filtering applied over subgroups of antennas to reduce the computational complexity, and channel covariance based antenna selection to reduce the required number of radio frequency (RF) chains. Numerical results are provided to corroborate our analysis.
Biswajit Sarkar - One of the best experts on this subject based on the ideXlab platform.
-
investment for process quality improvement and setup Cost Reduction in an imperfect production process with warranty policy and shortages
Rairo-operations Research, 2020Co-Authors: Rekha Guchhait, Shaktipada Bhuniya, Baisakhi Ganguly, Buddhadev Mandal, Raj Kumar Bachar, Biswajit Sarkar, K S ChaudhuriAbstract:Cost Reduction for setup and improvement of processes quality are the main target of this research along with free minimal repair warranty for an imperfect production System. This paper deals with the effect of setup Cost Reduction and process quality improvement on the optimal production cycle time for an imperfect production process with free product minimal repair warranty. Here the production system is subject to a random breakdown from an controlled system to an out-of-control state. Shortages are fully backlogged. The main target to minimize the total Cost by simultaneously optimizing the production run time, setup Cost, and process quality. A solution algorithm with some numerical experiments are provided such as the proposed model can illustrate briefly. Sensitivity analysis section is decorated for the optimal solution of the model with respect to major Cost parameters of the system are carried out, and the implications of the analysis are discussed.
-
effect of electrical energy on the manufacturing setup Cost Reduction transportation discounts and process quality improvement in a two echelon supply chain management under a service level constraint
Energies, 2019Co-Authors: Irfanullah Khan, Jihed Jemai, Han Lim, Biswajit SarkarAbstract:The need for efficient electrical energy consumption has greatly expanded in the process industries. In this paper, efforts are made to recognize the electrical energy consumption in a two-echelon supply chain model with a stochastic lead-time demand and imperfect production, while considering the distribution free approach. The initial investments are made for quality improvement and setup Cost Reduction, which ultimately reduce electrical energy consumption. The inspection Costs are considered in order to ensure the good qualities of the product. Centralized and decentralized strategies are used to analyze the proposed supply chain model. The main objective of this study is to reduce the overall Cost through efficient electrical energy consumption in supply chain management by optimizing the lot size, the number of shipments, the setup Cost, and the failure rate. A quantity-based transportation discount policy is applied to reduce the expected annual Costs, and a service-level constraint is incorporated for the buyer to avoid a stockout situation. The impact of the decision variables on the expected total Costs is analyzed, and sensitivity analysis is carried out. The results show a significant Reduction in overall Cost, with quality improvement and setup Cost Reduction ultimately reducing electrical energy consumption.
-
an integrated inventory model involving discrete setup Cost Reduction variable safety factor selling price dependent demand and investment
Rairo-operations Research, 2019Co-Authors: Biswajit Sarkar, Mitali Sarkar, Sarla PareekAbstract:This paper develops a sustainable integrated inventory model for maximizing profit with a controllable lead time, discrete setup Cost Reduction, and consideration of environmental issues. Contrary to the available literature, this paper considers a discrete setup Cost for the vendor, thus making the integrated model sustainable. The customer’s demand is assumed to be selling-price dependent to increase the number of sales, and the lead time demand follows a Poisson distribution. The integrated model is used to optimized the total shipment number, volume of shipments, safety factor, investments, selling-price, and probability of moving between the “in-control” to “out-of-control” states. An algorithm is developed to obtain the numerical results. Numerical examples and sensitivity analyses are given to illustrate the model.
-
manufacturing setup Cost Reduction and quality improvement for the distribution free continuous review inventory model with a service level constraint
Journal of Manufacturing Systems, 2015Co-Authors: Biswajit Sarkar, K S Chaudhuri, Ilkyeong MoonAbstract:Abstract Over several decades, the continuous-review inventory model has been widely studied based on various assumptions and restrictions such as those related with quality improvement, service level constraint, and setup Cost Reduction. We extend Moon and Choi's [1] model by assuming setup Cost Reduction and quality improvement. A distribution free approach is employed such that only mean and standard deviation need to be known. The total system Cost is minimized with respect to decision variables against the worst possible distribution scenario. The benefit of using quality improvement and setup Cost Reduction in this model is shown. Numerical examples show that this model offers significant improvements over existing models. Finally, sensitivity analysis of the key parameters is also presented.
Lajos Hanzo - One of the best experts on this subject based on the ideXlab platform.
-
performance improvement and Cost Reduction techniques for radio over fiber communications
IEEE Communications Surveys and Tutorials, 2015Co-Authors: Varghese Antony Thomas, Mohammed Elhajjar, Lajos HanzoAbstract:Advanced Cost Reduction and performance improvement techniques conceived for Radio Over Fiber (ROF) communications are considered. ROF techniques are expected to form the backbone of the future fifth generation of wireless networks. The achievable link performance and the associated deployment Cost constitute the most salient metrics of an ROF architecture. In this paper, we commence by providing a rudimentary overview of the ROF architecture, and then we elaborate on ROF techniques designed for improving the attainable system performance. We conclude by describing the ROF techniques conceived for reducing the ROF system installation Costs.
