The Experts below are selected from a list of 5532 Experts worldwide ranked by ideXlab platform
Jaspreet Singh - One of the best experts on this subject based on the ideXlab platform.
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Toward enabling Broadband for a billion plus population with TV white spaces
IEEE Communications Magazine, 2016Co-Authors: Animesh Kumar, Abhay Karandikar, Gaurang Naik, Meghna Khaturia, Shubham Saha, Mahak Arora, Jaspreet SinghAbstract:One of the major impediments to providing Broadband Connectivity in semi-urban and rural India is the lack of robust and affordable backhaul. Fiber Connectivity in terms of backhaul that is being planned (or provided) by the Government of India would reach only up to the rural offices (called Gram Panchayat) in Indian villages. In this exposition, we articulate how TV white space can address the challenge in providing Broadband Connectivity to a billion plus population within India. The villages can form local Wi-Fi clusters. The problem of connecting the Wi-Fi clusters to the optical fiber points can be addressed using a TV white space based backhaul (middle mile) network. The amount of TV white space present in India is very large when compared to the developed world. Therefore, we discuss a backhaul architecture for rural India that utilizes TV white spaces. We also present results from our TV white space testbed that support the effectiveness of backhaul by using TV white spaces. Our testbed provides a Broadband access network to rural populations in seven villages. The testbed is deployed over an area of 25 km2, and extends seamless Broadband Connectivity from optical fiber locations or Internet gateways to remote (difficult to connect) rural regions. We also discuss standards and TV white space regulations, which are pertinent to the backhaul architecture mentioned above.
Manuel Fuentes - One of the best experts on this subject based on the ideXlab platform.
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Scoring the Terabit/s Goal:Broadband Connectivity in 6G
arXiv: Signal Processing, 2020Co-Authors: Nandana Rajatheva, Italo Atzeni, Emil Bjornson, Andre Bourdoux, Stefano Buzzi, Jean-baptiste Dore, Serhat Erkucuk, Simon Bicais, Carmen D'andrea, Manuel FuentesAbstract:This paper explores the road to vastly improving the Broadband Connectivity in future 6G wireless systems. Different categories of use cases are considered, from extreme capacity with peak data rates up to 1 Tbps, to raising the typical data rates by orders-of-magnitude, and supporting Broadband Connectivity at railway speeds up to 1000 km/h. To achieve these, not only the terrestrial networks will be evolved but they will also be integrated with satellite networks, all facilitating autonomous systems and various interconnected structures. We believe that several categories of enablers at the infrastructure, spectrum, and protocol/algorithmic levels are required to realize the Connectivity goals in 6G. At the infrastructure level, we consider ultra-massive MIMO technology (possibly implemented using holographic radio), intelligent reflecting surfaces, user-centric cell-free networking, integrated access and backhaul, and integrated space and terrestrial networks. At the spectrum level, the network must seamlessly utilize sub-6 GHz bands for coverage and spatial multiplexing of many devices, while higher bands will be used for pushing the peak rates of point-to-point links. The latter path will lead to (sub-)Terahertz communications complemented by visible light communications in specific scenarios. At the protocol/algorithmic level, the enablers include improved coding, modulation, and waveforms to achieve lower latency, higher reliability, and reduced complexity. The resource efficiency can be further improved by using various combinations of full-duplex radios, interference management based on rate-splitting, machine-learning based optimization, coded caching, and broadcasting. Finally, the three levels of enablers must be utilized also to provide full-coverage Broadband Connectivity which must be one of the key outcomes of 6G.
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scoring the terabit s goal Broadband Connectivity in 6g
arXiv: Signal Processing, 2020Co-Authors: Nandana Rajatheva, Italo Atzeni, Emil Bjornson, Andre Bourdoux, Stefano Buzzi, Jean-baptiste Dore, Serhat Erkucuk, Simon Bicais, Carmen Dandrea, Manuel FuentesAbstract:This paper explores the road to vastly improving the Broadband Connectivity in future 6G wireless systems. Different categories of use cases are considered, from extreme capacity with peak data rates up to 1 Tbps, to raising the typical data rates by orders-of-magnitude, and supporting Broadband Connectivity at railway speeds up to 1000 km/h. To achieve these, not only the terrestrial networks will be evolved but they will also be integrated with satellite networks, all facilitating autonomous systems and various interconnected structures. We believe that several categories of enablers at the infrastructure, spectrum, and protocol/algorithmic levels are required to realize the Connectivity goals in 6G. At the infrastructure level, we consider ultra-massive MIMO technology (possibly implemented using holographic radio), intelligent reflecting surfaces, user-centric cell-free networking, integrated access and backhaul, and integrated space and terrestrial networks. At the spectrum level, the network must seamlessly utilize sub-6 GHz bands for coverage and spatial multiplexing of many devices, while higher bands will be used for pushing the peak rates of point-to-point links. The latter path will lead to (sub-)Terahertz communications complemented by visible light communications in specific scenarios. At the protocol/algorithmic level, the enablers include improved coding, modulation, and waveforms to achieve lower latency, higher reliability, and reduced complexity. The resource efficiency can be further improved by using various combinations of full-duplex radios, interference management based on rate-splitting, machine-learning based optimization, coded caching, and broadcasting. Finally, the three levels of enablers must be utilized also to provide full-coverage Broadband Connectivity which must be one of the key outcomes of 6G.
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White paper on Broadband Connectivity in 6G
arXiv: Signal Processing, 2020Co-Authors: Nandana Rajatheva, Italo Atzeni, Emil Bjornson, Andre Bourdoux, Stefano Buzzi, Jean-baptiste Dore, Serhat Erkucuk, Manuel Fuentes, Ke GuanAbstract:This white paper explores the road to implementing Broadband Connectivity in future 6G wireless systems. Different categories of use cases are considered, from extreme capacity with peak data rates up to 1 Tbps, to raising the typical data rates by orders-of-magnitude, to support Broadband Connectivity at railway speeds up to 1000 km/h. To achieve these goals, not only the terrestrial networks will be evolved but they will also be integrated with satellite networks, all facilitating autonomous systems and various interconnected structures. We believe that several categories of enablers at the infrastructure, spectrum, and protocol/ algorithmic levels are required to realize the intended Broadband Connectivity goals in 6G. At the infrastructure level, we consider ultra-massive MIMO technology (possibly implemented using holographic radio), intelligent reflecting surfaces, user-centric and scalable cell-free networking, integrated access and backhaul, and integrated space and terrestrial networks. At the spectrum level, the network must seamlessly utilize sub-6 GHz bands for coverage and spatial multiplexing of many devices, while higher bands will be used for pushing the peak rates of point-to-point links. The latter path will lead to THz communications complemented by visible light communications in specific scenarios. At the protocol/algorithmic level, the enablers include improved coding, modulation, and waveforms to achieve lower latencies, higher reliability, and reduced complexity. Different options will be needed to optimally support different use cases. The resource efficiency can be further improved by using various combinations of full-duplex radios, interference management based on rate-splitting, machine-learning-based optimization, coded caching, and broadcasting.
Nandana Rajatheva - One of the best experts on this subject based on the ideXlab platform.
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Scoring the Terabit/s Goal:Broadband Connectivity in 6G
arXiv: Signal Processing, 2020Co-Authors: Nandana Rajatheva, Italo Atzeni, Emil Bjornson, Andre Bourdoux, Stefano Buzzi, Jean-baptiste Dore, Serhat Erkucuk, Simon Bicais, Carmen D'andrea, Manuel FuentesAbstract:This paper explores the road to vastly improving the Broadband Connectivity in future 6G wireless systems. Different categories of use cases are considered, from extreme capacity with peak data rates up to 1 Tbps, to raising the typical data rates by orders-of-magnitude, and supporting Broadband Connectivity at railway speeds up to 1000 km/h. To achieve these, not only the terrestrial networks will be evolved but they will also be integrated with satellite networks, all facilitating autonomous systems and various interconnected structures. We believe that several categories of enablers at the infrastructure, spectrum, and protocol/algorithmic levels are required to realize the Connectivity goals in 6G. At the infrastructure level, we consider ultra-massive MIMO technology (possibly implemented using holographic radio), intelligent reflecting surfaces, user-centric cell-free networking, integrated access and backhaul, and integrated space and terrestrial networks. At the spectrum level, the network must seamlessly utilize sub-6 GHz bands for coverage and spatial multiplexing of many devices, while higher bands will be used for pushing the peak rates of point-to-point links. The latter path will lead to (sub-)Terahertz communications complemented by visible light communications in specific scenarios. At the protocol/algorithmic level, the enablers include improved coding, modulation, and waveforms to achieve lower latency, higher reliability, and reduced complexity. The resource efficiency can be further improved by using various combinations of full-duplex radios, interference management based on rate-splitting, machine-learning based optimization, coded caching, and broadcasting. Finally, the three levels of enablers must be utilized also to provide full-coverage Broadband Connectivity which must be one of the key outcomes of 6G.
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scoring the terabit s goal Broadband Connectivity in 6g
arXiv: Signal Processing, 2020Co-Authors: Nandana Rajatheva, Italo Atzeni, Emil Bjornson, Andre Bourdoux, Stefano Buzzi, Jean-baptiste Dore, Serhat Erkucuk, Simon Bicais, Carmen Dandrea, Manuel FuentesAbstract:This paper explores the road to vastly improving the Broadband Connectivity in future 6G wireless systems. Different categories of use cases are considered, from extreme capacity with peak data rates up to 1 Tbps, to raising the typical data rates by orders-of-magnitude, and supporting Broadband Connectivity at railway speeds up to 1000 km/h. To achieve these, not only the terrestrial networks will be evolved but they will also be integrated with satellite networks, all facilitating autonomous systems and various interconnected structures. We believe that several categories of enablers at the infrastructure, spectrum, and protocol/algorithmic levels are required to realize the Connectivity goals in 6G. At the infrastructure level, we consider ultra-massive MIMO technology (possibly implemented using holographic radio), intelligent reflecting surfaces, user-centric cell-free networking, integrated access and backhaul, and integrated space and terrestrial networks. At the spectrum level, the network must seamlessly utilize sub-6 GHz bands for coverage and spatial multiplexing of many devices, while higher bands will be used for pushing the peak rates of point-to-point links. The latter path will lead to (sub-)Terahertz communications complemented by visible light communications in specific scenarios. At the protocol/algorithmic level, the enablers include improved coding, modulation, and waveforms to achieve lower latency, higher reliability, and reduced complexity. The resource efficiency can be further improved by using various combinations of full-duplex radios, interference management based on rate-splitting, machine-learning based optimization, coded caching, and broadcasting. Finally, the three levels of enablers must be utilized also to provide full-coverage Broadband Connectivity which must be one of the key outcomes of 6G.
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White paper on Broadband Connectivity in 6G
arXiv: Signal Processing, 2020Co-Authors: Nandana Rajatheva, Italo Atzeni, Emil Bjornson, Andre Bourdoux, Stefano Buzzi, Jean-baptiste Dore, Serhat Erkucuk, Manuel Fuentes, Ke GuanAbstract:This white paper explores the road to implementing Broadband Connectivity in future 6G wireless systems. Different categories of use cases are considered, from extreme capacity with peak data rates up to 1 Tbps, to raising the typical data rates by orders-of-magnitude, to support Broadband Connectivity at railway speeds up to 1000 km/h. To achieve these goals, not only the terrestrial networks will be evolved but they will also be integrated with satellite networks, all facilitating autonomous systems and various interconnected structures. We believe that several categories of enablers at the infrastructure, spectrum, and protocol/ algorithmic levels are required to realize the intended Broadband Connectivity goals in 6G. At the infrastructure level, we consider ultra-massive MIMO technology (possibly implemented using holographic radio), intelligent reflecting surfaces, user-centric and scalable cell-free networking, integrated access and backhaul, and integrated space and terrestrial networks. At the spectrum level, the network must seamlessly utilize sub-6 GHz bands for coverage and spatial multiplexing of many devices, while higher bands will be used for pushing the peak rates of point-to-point links. The latter path will lead to THz communications complemented by visible light communications in specific scenarios. At the protocol/algorithmic level, the enablers include improved coding, modulation, and waveforms to achieve lower latencies, higher reliability, and reduced complexity. Different options will be needed to optimally support different use cases. The resource efficiency can be further improved by using various combinations of full-duplex radios, interference management based on rate-splitting, machine-learning-based optimization, coded caching, and broadcasting.
Animesh Kumar - One of the best experts on this subject based on the ideXlab platform.
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Toward enabling Broadband for a billion plus population with TV white spaces
IEEE Communications Magazine, 2016Co-Authors: Animesh Kumar, Abhay Karandikar, Gaurang Naik, Meghna Khaturia, Shubham Saha, Mahak Arora, Jaspreet SinghAbstract:One of the major impediments to providing Broadband Connectivity in semi-urban and rural India is the lack of robust and affordable backhaul. Fiber Connectivity in terms of backhaul that is being planned (or provided) by the Government of India would reach only up to the rural offices (called Gram Panchayat) in Indian villages. In this exposition, we articulate how TV white space can address the challenge in providing Broadband Connectivity to a billion plus population within India. The villages can form local Wi-Fi clusters. The problem of connecting the Wi-Fi clusters to the optical fiber points can be addressed using a TV white space based backhaul (middle mile) network. The amount of TV white space present in India is very large when compared to the developed world. Therefore, we discuss a backhaul architecture for rural India that utilizes TV white spaces. We also present results from our TV white space testbed that support the effectiveness of backhaul by using TV white spaces. Our testbed provides a Broadband access network to rural populations in seven villages. The testbed is deployed over an area of 25 km2, and extends seamless Broadband Connectivity from optical fiber locations or Internet gateways to remote (difficult to connect) rural regions. We also discuss standards and TV white space regulations, which are pertinent to the backhaul architecture mentioned above.
Ke Guan - One of the best experts on this subject based on the ideXlab platform.
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White paper on Broadband Connectivity in 6G
arXiv: Signal Processing, 2020Co-Authors: Nandana Rajatheva, Italo Atzeni, Emil Bjornson, Andre Bourdoux, Stefano Buzzi, Jean-baptiste Dore, Serhat Erkucuk, Manuel Fuentes, Ke GuanAbstract:This white paper explores the road to implementing Broadband Connectivity in future 6G wireless systems. Different categories of use cases are considered, from extreme capacity with peak data rates up to 1 Tbps, to raising the typical data rates by orders-of-magnitude, to support Broadband Connectivity at railway speeds up to 1000 km/h. To achieve these goals, not only the terrestrial networks will be evolved but they will also be integrated with satellite networks, all facilitating autonomous systems and various interconnected structures. We believe that several categories of enablers at the infrastructure, spectrum, and protocol/ algorithmic levels are required to realize the intended Broadband Connectivity goals in 6G. At the infrastructure level, we consider ultra-massive MIMO technology (possibly implemented using holographic radio), intelligent reflecting surfaces, user-centric and scalable cell-free networking, integrated access and backhaul, and integrated space and terrestrial networks. At the spectrum level, the network must seamlessly utilize sub-6 GHz bands for coverage and spatial multiplexing of many devices, while higher bands will be used for pushing the peak rates of point-to-point links. The latter path will lead to THz communications complemented by visible light communications in specific scenarios. At the protocol/algorithmic level, the enablers include improved coding, modulation, and waveforms to achieve lower latencies, higher reliability, and reduced complexity. Different options will be needed to optimally support different use cases. The resource efficiency can be further improved by using various combinations of full-duplex radios, interference management based on rate-splitting, machine-learning-based optimization, coded caching, and broadcasting.
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White Paper on Broadband Connectivity in 6G
2020Co-Authors: Rajatheva Nandana, Ke Guan, Atzeni Italo, Bjornson Emil, Bourdoux Andre, Buzzi Stefano, Dore Jean-baptiste, Erkucuk Serhat, Fuentes Manuel, Hu YuzhouAbstract:This white paper explores the road to implementing Broadband Connectivity in future 6G wireless systems. Different categories of use cases are considered, from extreme capacity with peak data rates up to 1 Tbps, to raising the typical data rates by orders-of-magnitude, to support Broadband Connectivity at railway speeds up to 1000 km/h. To achieve these goals, not only the terrestrial networks will be evolved but they will also be integrated with satellite networks, all facilitating autonomous systems and various interconnected structures. We believe that several categories of enablers at the infrastructure, spectrum, and protocol/ algorithmic levels are required to realize the intended Broadband Connectivity goals in 6G. At the infrastructure level, we consider ultra-massive MIMO technology (possibly implemented using holographic radio), intelligent reflecting surfaces, user-centric and scalable cell-free networking, integrated access and backhaul, and integrated space and terrestrial networks. At the spectrum level, the network must seamlessly utilize sub-6 GHz bands for coverage and spatial multiplexing of many devices, while higher bands will be used for pushing the peak rates of point-to-point links. The latter path will lead to THz communications complemented by visible light communications in specific scenarios. At the protocol/algorithmic level, the enablers include improved coding, modulation, and waveforms to achieve lower latencies, higher reliability, and reduced complexity. Different options will be needed to optimally support different use cases. The resource efficiency can be further improved by using various combinations of full-duplex radios, interference management based on rate-splitting, machine-learning-based optimization, coded caching, and broadcasting.Comment: 46 pages, 13 figure
