The Experts below are selected from a list of 102 Experts worldwide ranked by ideXlab platform
Emad Alsusa - One of the best experts on this subject based on the ideXlab platform.
-
Secret Key Exchange and Authentication via Randomized Spatial Modulation and Phase Shifting
IEEE Transactions on Vehicular Technology, 2018Co-Authors: Hasan Taha, Emad AlsusaAbstract:Advances in physical layer security techniques have increasingly demonstrated their potential to replace security functionalities that are traditionally included in the upper layers of the Open Systems Interconnection model. This has made it possible for devices with limited layer structures or/and restricted hardware components to offer security measures. In this paper, we consider spatial modulation (SM) systems and propose a unique physical layer technique that uses a random constellation Mapping criterion for secret key exchange. The principle idea here is to exploit the inherent symbol-Antenna Mapping feature of the SM technique to encode the secret key. Specifically, a random phase shift is imposed on each of the modulated symbols using a channel driven approach to uniquely authenticate the transmitted key bits or/and the encrypted confidential data. The results demonstrate that the proposed technique is superior to benchmark techniques in terms of computational complexity and key bit error rate. It will also be shown that the proposed technique offers greater flexibility in terms of the authentication process preference, which is normally unattainable in most of the key exchange proposed techniques.
-
IWCMC - PHY-SEC: Secret key exchange and authentication via Random Spatial Modulation and phase shifting
2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC), 2017Co-Authors: Hasan Taha, Emad AlsusaAbstract:Physical layer security (PHY-SEC) research had shown promising results to be a potential candidate for providing security functionalities. In this paper, we propose a random constellation Mapping technique for secret key exchange in Spatial Modulation (SM) systems in which we exploit the inherent symbol-Antenna Mapping feature of this transmission technique. In addition, the proposed technique imposes a random phase shift to each of the modulated symbols using a channel driven method in order to uniquely authenticate the transmitted key bits or further the encrypted confidential data. The results show that the proposed technique is superior to benchmark techniques in terms of both computational complexity and key bit error rate. Also, the proposed technique offers further flexibility in terms of preference of the authentication process over other proposed techniques.
Robert W. Heath - One of the best experts on this subject based on the ideXlab platform.
-
Multimode Antenna selection for MIMO amplify-and-forward relay systems
IEEE Transactions on Signal Processing, 2010Co-Authors: Kien Trung Truong, Robert W. HeathAbstract:Obtaining the most from multiple-Antenna relay systems requires algorithms that configure the source and relay adaptively to instantaneous channel conditions. In this paper, we define an Antenna selection mode of operation as the number of selected transmit Antennas at the source (which is equal to the number of data substreams), the substream-to-Antenna Mapping at the source, the number of selected transmit Antennas at the relay, and the substream-to-Antenna Mapping at the relay. We develop dualmode and multimode Antenna selection algorithms to choose the mode that is most likely to deliver the lowest vector symbol error rate assuming the overall data rate is fixed. The effective condition numbers of both the two-hop channel and the relay channel are derived to give intuition on how the spatial characteristics of the constituent channels affect mode selection and to derive low complexity algorithms. Link-level simulations show that our proposed algorithms usually select the best mode, thus improving the diversity performance of spatial multiplexing relay systems and providing array gains over the existing single-stream relay transmission strategies. The two-hop multimode algorithms are shown by system-level simulations to improve the reliability of transmission and extend spatial multiplexing capability to cell-edge users in a multi-cell network.
-
ICASSP - Adaptive transmit Antenna selection in MIMO amplify-and-forward relay channels
2010 IEEE International Conference on Acoustics Speech and Signal Processing, 2010Co-Authors: Kien Trung Truong, Robert W. HeathAbstract:Obtaining the most from multiple-Antenna relay systems requires adapting the number of substreams based on channel conditions. In this paper, we develop algorithms for selecting dynamically the number of data streams and the transmit Antenna subsets at both the source and relay to minimize the vector symbol error rate at a fixed overall rate. An Antenna selection mode of operation is defined by the number of transmit Antennas and the substream-to-Antenna Mapping at the source and relay. We propose three suboptimal multimode algorithms that aim to select the best mode based on the knowledge of channel conditions. The algorithms are shown by Monte Carlo simulations to achieve the full diversity order and to provide considerable gains over the existing designs.
Sassan Ahmadi - One of the best experts on this subject based on the ideXlab platform.
-
New Radio Access Physical Layer Aspects (Part 2)
5G NR, 2019Co-Authors: Sassan AhmadiAbstract:Abstract The physical layer is the lowest protocol layer in baseband signal processing that interfaces with the digital and the analog radio frontends and the physical media. The physical layer further interfaces with the MAC sublayer and processes the transport blocks through channel coding, interleaving/scrambling, baseband modulation, layer Mapping for multi-Antenna transmission, digital precoding, resource element Mapping, OFDM modulation, and Antenna Mapping. The choice of appropriate modulation and coding scheme as well as multi-Antenna transmission mode is critical to achieve the desired reliability/robustness (coverage) and system/user throughput in mobile communications. Typical mobile radio channels tend to be dispersive and time-variant and exhibit severe Doppler effects, multipath delay variation, and fading. A good and robust design of the physical layer ensures that the system can robustly operate and overcome these deleterious effects and can provide the maximum throughput and lowest latency under various operating conditions. In this chapter, we discuss the theoretical and practical aspects of the downlink and uplink physical layer signal processing and will highlight the functional and procedural similarities and differences with LTE. The chapter will describe generation, configuration, and beamformed transmission of various physical signals and physical channels as well as the HARQ protocols and power control schemes. Unlike LTE, the NR uses OFDM waveform as the basis for both downlink and uplink transmission (except in certain cases where DFT precoding is used in the uplink), resulting in many similarities in functional blocks and their respective operation in the downlink and uplink. The physical channel processing in NR utilizes polar codes for robust coding of the control channels and low-density parity check codes for the data channels, deviating from channel coding schemes that are used in LTE.
-
New Radio Access Physical Layer Aspects (Part 1)
5G NR, 2019Co-Authors: Sassan AhmadiAbstract:Abstract The physical layer is the lowest protocol layer in baseband signal processing that interfaces with the digital and the analog radio frontends and the physical media. The physical layer further interfaces with the MAC sublayer and processes the transport blocks through channel coding, rate matching, interleaving/scrambling, baseband modulation, layer Mapping for multi-Antenna transmission, digital precoding, resource element Mapping, OFDM modulation, and Antenna Mapping. The choice of appropriate modulation and coding scheme as well as multi-Antenna transmission mode is critical to achieve the desired reliability/robustness (coverage) and system/user throughput in mobile communications. Typical mobile radio channels tend to be dispersive and time variant and exhibit severe Doppler effects, multipath delay variation, intra-cell and inter-cell interference, and fading. A good and robust design of the physical layer ensures that the system can robustly operate and overcome these deleterious effects and can provide the maximum throughput and lowest latency under various operating conditions. In this chapter, the fundamental concepts and common features/functions in downlink and uplink of the new radio are studied, which include review of the characteristics of wireless channels in sub-6 GHz and mmWave frequency regions as well as the analysis of 2D and 3D channel models and propagation effects. We will then begin our top-down approach to physical layer protocols starting with waveforms, orthogonal and non-orthogonal multiple-access schemes, and duplex schemes as well as the operating frequencies of the new radio. The frame structure, OFDM numerologies, time-frequency resources, and resource allocation techniques will be discussed and analyzed from theoretical and practical point of views.
-
Uplink Physical Layer Functions
LTE-Advanced, 2014Co-Authors: Sassan AhmadiAbstract:This chapter describes the physical layer protocols and functional processing in LTE/LTE-Advanced uplink direction. The physical layer is the lowest protocol layer in baseband signal processing that interfaces with the physical media through which the signal is transmitted and received. The physical layer receives MAC PDUs (transport blocks) and processes them through channel coding, interleaving, baseband modulation, layer Mapping for multi-Antenna operation, eigen-precoding, resource element and Antenna Mapping. The choice of appropriate modulation and coding scheme and well as multi-Antenna transmission mode are critical to achieve the desired reliability/robustness and system/user throughput in mobile wireless data communications. Typical mobile radio channels tend to be dispersive and time-variant and exhibit severe Doppler effects, multipath delay variation, intra-cell and inter-cell interference, and fading. While the requirements for the design of LTE/LTE-Advanced uplink physical layer are mainly similar to those of the downlink, there are some design attributes that are specific to the uplink physical layer including the desire for orthogonal uplink transmission by different UEs to minimize intra-cell interference and maximize the capacity, flexible data rate adaptation as a function of SINR, sufficiently-low PAPR of the transmitted signal to avoid excessive cost, size and power consumption of the UE transmit circuitry, ability to exploit the frequency diversity attainable by the wider bandwidths even when transmitting at low data rates, support for frequency-selective scheduling, and support for advanced multiple-Antenna techniques in order to exploit spatial diversity and to enhance uplink capacity. The multiple-access scheme selected for the LTE uplink to satisfy the above design requirements is SC-FDMA. The chapters on physical layer in this book are dedicated to systematic design of physical layer protocols and functional blocks of 4th generation cellular systems, the theoretical background on physical layer procedures, and performance evaluation of physical layer components. The theoretical background is provided to make the book self-contained and to ensure that the reader understands the underlying theory governing the operation of various functional blocks and procedures.
-
Downlink Physical Layer Functions
LTE-Advanced, 2014Co-Authors: Sassan AhmadiAbstract:This chapter describes the physical layer protocols and functional processing in LTE/LTE-Advanced downlink direction. The physical layer is the lowest protocol layer in baseband signal processing that interfaces with the physical media through which the signal is transmitted and received. The physical layer receives MAC PDUs (transport blocks) and processes them through channel coding, interleaving, baseband modulation, layer Mapping for multi-Antenna operation, eigen-precoding, resource element and Antenna Mapping. The choice of appropriate modulation and coding scheme and well as multi-Antenna transmission mode are critical to achieve the desired reliability/robustness and system/user throughput in mobile wireless data communications. Typical mobile radio channels tend to be dispersive and time-variant and exhibit severe Doppler effects, multipath delay variation, intra-cell and inter-cell interference, and fading. A good and robust design of the physical layer ensures that the system can normally operate and overcome the above deleterious effects and can provide the maximum throughput and lowest latency under various operating conditions. The chapters on physical layer in this book are dedicated to systematic design of physical layer protocols and functional blocks of 4th generation cellular systems, the theoretical background on physical layer procedures, and performance evaluation of physical layer components. The theoretical background is provided to make the book self-contained and to ensure that the reader understands the underlying theory governing the operation of various functional blocks and procedures. Additional references are provided for further study. While the focus is mainly on the techniques that were incorporated in the design of LTE/LTE-Advanced physical layer, the author has attempted to take a more generic and systematic approach to the design of physical layer for the IMT-Advanced and beyond cellular systems so that the reader can understand and apply the learning to the design and implementation of any OFDM-based physical layer irrespective of the radio access technology.
-
The IEEE 802.16m Physical Layer (Part II)
Mobile WiMAX, 2011Co-Authors: Sassan AhmadiAbstract:The physical layer is the lowest protocol layer in baseband signal processing that interfaces with the physical media (in this case the air interface) through which the signal is transmitted and received. The physical layer receives the MAC protocol data units and processes them through channel coding, interleaving, baseband modulation, multi-Antenna encoding, precoding, resource and Antenna Mapping. The choice of an appropriate modulation and coding scheme, as well as multi-Antenna transmission mode, is critical to achieve the desired reliability and system throughput in mobile wireless data communications. Typical mobile radio channels tend to be dispersive and time-variant and exhibit severe Doppler effects, multipath delay variation, intra-cell and inter-cell interference, and fading. A good and robust design of the physical layer ensures that the system can normally operate and overcome the above deleterious effects, and can provide the maximum throughput and lowest latency under various operating conditions. The chapters on the physical layer in this book are dedicated to the systematic design of physical layer protocols and functional blocks of 4 th generation cellular systems, the theoretical background on physical layer procedures, and performance evaluation of the physical layer components. The theoretical background is provided to make the book self-contained, and to ensure that the reader understands the basic theory behind the operation of various functional blocks and procedures.
Hasan Taha - One of the best experts on this subject based on the ideXlab platform.
-
Secret Key Exchange and Authentication via Randomized Spatial Modulation and Phase Shifting
IEEE Transactions on Vehicular Technology, 2018Co-Authors: Hasan Taha, Emad AlsusaAbstract:Advances in physical layer security techniques have increasingly demonstrated their potential to replace security functionalities that are traditionally included in the upper layers of the Open Systems Interconnection model. This has made it possible for devices with limited layer structures or/and restricted hardware components to offer security measures. In this paper, we consider spatial modulation (SM) systems and propose a unique physical layer technique that uses a random constellation Mapping criterion for secret key exchange. The principle idea here is to exploit the inherent symbol-Antenna Mapping feature of the SM technique to encode the secret key. Specifically, a random phase shift is imposed on each of the modulated symbols using a channel driven approach to uniquely authenticate the transmitted key bits or/and the encrypted confidential data. The results demonstrate that the proposed technique is superior to benchmark techniques in terms of computational complexity and key bit error rate. It will also be shown that the proposed technique offers greater flexibility in terms of the authentication process preference, which is normally unattainable in most of the key exchange proposed techniques.
-
IWCMC - PHY-SEC: Secret key exchange and authentication via Random Spatial Modulation and phase shifting
2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC), 2017Co-Authors: Hasan Taha, Emad AlsusaAbstract:Physical layer security (PHY-SEC) research had shown promising results to be a potential candidate for providing security functionalities. In this paper, we propose a random constellation Mapping technique for secret key exchange in Spatial Modulation (SM) systems in which we exploit the inherent symbol-Antenna Mapping feature of this transmission technique. In addition, the proposed technique imposes a random phase shift to each of the modulated symbols using a channel driven method in order to uniquely authenticate the transmitted key bits or further the encrypted confidential data. The results show that the proposed technique is superior to benchmark techniques in terms of both computational complexity and key bit error rate. Also, the proposed technique offers further flexibility in terms of preference of the authentication process over other proposed techniques.
Kien Trung Truong - One of the best experts on this subject based on the ideXlab platform.
-
Multimode Antenna selection for MIMO amplify-and-forward relay systems
IEEE Transactions on Signal Processing, 2010Co-Authors: Kien Trung Truong, Robert W. HeathAbstract:Obtaining the most from multiple-Antenna relay systems requires algorithms that configure the source and relay adaptively to instantaneous channel conditions. In this paper, we define an Antenna selection mode of operation as the number of selected transmit Antennas at the source (which is equal to the number of data substreams), the substream-to-Antenna Mapping at the source, the number of selected transmit Antennas at the relay, and the substream-to-Antenna Mapping at the relay. We develop dualmode and multimode Antenna selection algorithms to choose the mode that is most likely to deliver the lowest vector symbol error rate assuming the overall data rate is fixed. The effective condition numbers of both the two-hop channel and the relay channel are derived to give intuition on how the spatial characteristics of the constituent channels affect mode selection and to derive low complexity algorithms. Link-level simulations show that our proposed algorithms usually select the best mode, thus improving the diversity performance of spatial multiplexing relay systems and providing array gains over the existing single-stream relay transmission strategies. The two-hop multimode algorithms are shown by system-level simulations to improve the reliability of transmission and extend spatial multiplexing capability to cell-edge users in a multi-cell network.
-
ICASSP - Adaptive transmit Antenna selection in MIMO amplify-and-forward relay channels
2010 IEEE International Conference on Acoustics Speech and Signal Processing, 2010Co-Authors: Kien Trung Truong, Robert W. HeathAbstract:Obtaining the most from multiple-Antenna relay systems requires adapting the number of substreams based on channel conditions. In this paper, we develop algorithms for selecting dynamically the number of data streams and the transmit Antenna subsets at both the source and relay to minimize the vector symbol error rate at a fixed overall rate. An Antenna selection mode of operation is defined by the number of transmit Antennas and the substream-to-Antenna Mapping at the source and relay. We propose three suboptimal multimode algorithms that aim to select the best mode based on the knowledge of channel conditions. The algorithms are shown by Monte Carlo simulations to achieve the full diversity order and to provide considerable gains over the existing designs.