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Design Of Analog Cmos Integrated Circuits

This paper presents a low power boost converter for thermoelectric energy harvesting that demonstrates an efficiency that is 15% higher than the state-of-the-art for voltage conversion ratios above 20. This is achieved by utilizing a technique allowing synchronous rectification in the discontinuous conduction mode. A low-power method for input voltage monitoring is presented. The low input voltage requirements allow operation from a thermoelectric generator powered by body heat. The converter, fabricated in a 0.13 μm CMOS process, operates from input voltages ranging from 20 mV to 250 mV while supplying a regulated 1 V output. The converter consumes 1.6 (1.1) μW of quiescent power, delivers up to 25 (175) μW of output power, and is 46 (75)% efficient for a 20 mV and 100 mV input, respectively.

A 20 mV Input Boost Converter With Efficient Digital Control for Thermoelectric Energy Harvesting

In the fifth-generation (5G) mobile communication system, various service requirements of different communication environments are expected to be satisfied. As a new evolution network structure, heterogeneous network (HetNet) has been studied in recent years. Compared with homogeneous networks, HetNets can increase the opportunity in the spatial resource reuse and improve users’ quality of service by developing small cells into the coverage of macrocells. Since there is mutual interference among different users and the limited spectrum resource in HetNets, however, efficient resource allocation (RA) algorithms are vitally important to reduce the mutual interference and achieve spectrum sharing. In this article, we provide a comprehensive survey on RA in HetNets for 5G communications. Specifically, we first introduce the definition and different network scenarios of HetNets. Second, RA models are discussed. Then, we present a classification to analyze current RA algorithms for the existing works. Finally, some challenging issues and future research trends are discussed. Accordingly, we provide two potential structures for 6G communications to solve the RA problems of the next-generation HetNets, such as a learning-based RA structure and a control-based RA structure. The goal of this article is to provide important information on HetNets, which could be used to guide the development of more efficient techniques in this research area.

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A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends, and Challenges

https://hal.archives-ouvertes.fr/hal-02395411/document

Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture

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Design Of Integrated Circuits For Optical Communications

To overcome point-to-point interconnect obstacles, Networks-on-Chips (NoCs) within FPGAs have been introduced. NoCs provide independent interfaces of communication which lead to increasing design scalability and improving its efficiency. We analyze area, delay and power gaps between soft and hard implementations on FPGA-specific NoC; and target two different configurations in soft implementation. The first configuration targets reducing the delay gap by a factor of 5.5e between soft and hard implementations at the expense of increasing the power gap to be a factor of 12.2×. The second configuration is more suitable for applications that are concerned with power saving. It reduces the power gap to a factor of 4.5× with a small increase in the delay gab by a factor of 6.3× and the area gap is increased from 5.9× to 6.9×.

Design guidelines for soft implementations to embedded NoCs of FPGAs

In this paper, we analyze the average bit error rate (BER) and outage probability performances of a free-space optical (FSO) system. We used M-ary amplitude shift keying modulation (M-ary ASK) scheme. Lognormal atmospheric turbulence with the effect of pointing errors (PE) and, path loss is employed to model the FSO channel. However, to overcome the degradation in BER performance due to pointing errors, the single-input-multiple-output technique with maximal ratio combining diversity is used. For instance, the average BER for M=2 without using SIMO is 1.944×10−6 at 0 dBm transmitted power, while the average BER for M=2 with using SIMO technique with N=2 become 1.512×10−11 at 0 dBm. The asymptotic expression for average BER and the closed-form expression for outage probability are both driven and tested with and without SIMO.

M-ary ASK Modulation in FSO System with SIMO over Log-normal Atmospheric Turbulence with Pointing Errors

In this paper, we propose applying a parameter relaxation technique to the location estimation algorithm that is based on the Received Signal Strength (RSS) of Visible Light Communications (VLC). A hybrid system of localization balancing is introduced, where the localization algorithm is developed with and without this efficient parameter relaxation. The results show that applying the parameter relaxation reduces the localization Root Mean Square (RMS) error by 43% of that without relaxation; and the processing time is reduced by 18% of that without relaxation. Moreover, the parameter relaxation approach is compared with previous work that is based on Artificial Neural Networks (ANN), where the performance of the proposed relaxation technique is shown to be over 4 times better than that of the ANN-based approach.

Visible Light Communications Localization Error Enhancement using Parameter Relaxation

In this paper, a high-performance priority encoder is presented by using full custom approach. The proposed encoder provides both high- and low-priority functional with scalable design structure through a parallel look-ahead structure. A prefixing architecture is applied to minimize the critical path propagation delay and maximize the operating frequency. As a result, the proposed encoder is significant reduce the total critical delay by 53%, and the number of transistors by 7%, in addition it provides a regulated in building higher-order encoders. The results are conducted for different encoder inputs through TSMC 130nm CMOS technology.

High performance layout-friendly 64-bit priority encoder utilizing parallel priority look-ahead

In this paper, We propose a hybrid compression technique by integrating the Discrete Cosine Transform (DCT) and a Non-Uniform Quantized Huffman in order to minimize the Electroencephalography (EEG) data size. Therefore, to get a high compression ratio we apply the lossy compression followed by a lossless compression algorithm. We use DCT encoder followed by either non-uniform quantized Huffman (NonUQH) coding or Run Length Encoding (RLE) then compare between them. The system performance is evaluated in terms of the compression/decompression time, the compression ratio, and the root mean square error. The proposed hybrid technique DCT/NonUQH achieves 90% compression compared to 59% by DCT/RLE with the same similarity. Furthermore, it needs 50% less time for compression/decompression process.

Tawfik Ismail

Papers

Design guidelines for soft implementations to embedded NoCs of FPGAs

M-ary ASK Modulation in FSO System with SIMO over Log-normal Atmospheric Turbulence with Pointing Errors

Visible Light Communications Localization Error Enhancement using Parameter Relaxation

High performance layout-friendly 64-bit priority encoder utilizing parallel priority look-ahead

Non-uniform quantized huffman compression technique for EEG data