MLET: A Power Efficient Approach for TCAM Based, IP Lookup Engines in Internet Routers

Routers are one of the important entities in computer networks specially the Internet. Forwarding IP packets is a valuable and vital function in Internet routers. Routers extract destination IP address from packets and lookup those addresses in their own routing table. This task is called IP lookup. Internet address lookup is a challenging problem due to the increasing routing table sizes. Ternary Content-Addressable Memories (TCAMs) are becoming very popular for designing high-throughput address lookup-engines on routers: they are fast, cost-effective and simple to manage. Despite the TCAMs speed, their high power consumption is their major drawback. In this paper, Multilevel Enabling Technique (MLET), a power efficient TCAM based hardware architecture has been proposed. This scheme is employed after an Espresso-II minimization algorithm to achieve lower power consumption. The performance evaluation of the proposed approach shows that it can save considerable amount of routing table's power consumption.Comment: 14 Pages, IJCNC 201

A Survey on Multi-Objective Neural Architecture Search

Recently, the expert-crafted neural architectures is increasing overtaken by the utilization of neural architecture search (NAS) and automatic generation (and tuning) of network structures which has a close relation to the Hyperparameter Optimization and Auto Machine Learning (AutoML). After the earlier NAS attempts to optimize only the prediction accuracy, Multi-Objective Neural architecture Search (MONAS) has been attracting attentions which considers more goals such as computational complexity, power consumption, and size of the network for optimization, reaching a trade-off between the accuracy and other features like the computational cost. In this paper, we present an overview of principal and state-of-the-art works in the field of MONAS. Starting from a well-categorized taxonomy and formulation for the NAS, we address and correct some miscategorizations in previous surveys of the NAS field. We also provide a list of all known objectives used and add a number of new ones and elaborate their specifications. We have provides analyses about the most important objectives and shown that the stochastic properties of some the them should be differed from deterministic ones in the multi-objective optimization procedure of NAS. We finalize this paper with a number of future directions and topics in the field of MONAS.Comment: 22 pages, 10 figures, 9 table

Co-channel interference cancellation in mobile cellular communication systems

In recent years, mobile communications has become very popular and the demand for its services has increased dramatically. The capacity of mobile communication systems is mainly limited by co-channel interference caused by frequency reuse. The acceptable co-channel interference at the receiver determines the minimum allowable distance between adjacent co-channel users and hence the system capacity. One approach to increase the capacity is to employ co-channel interference resistant receivers. The research work presented in this thesis deals with the designing of such receivers for cellular mobile communication systems

power

Improving the COWLS algorithm for hardware software co-synthesis of wireless client-server systems using preference vectors and pea

An Adaptive Fair-Distributed Scheduling Algorithm to Guarantee QoS for Both VBR and CBR Video Traffics on IEEE 802.11e WLANs

Most of the centralized QoS mechanisms for WLAN MAC layer are only able to guarantee QoS parameters for CBR video traffic effectively. On the other hand, the existing distributed QoS mechanisms are only able to differentiate between various traffic streams without being able to guarantee QoS. This paper addresses these deficiencies by proposing a new distributed QoS scheme that guarantees QoS parameters such as delay and throughput for both CBR and VBR video traffics. The proposed scheme is also fair for all streams and it can adapt to the various conditions of the network. To achieve this, three fields are added to the RTS/CTS frames whose combination with the previously existing duration field of RTS/CTS frames guarantees the periodic fair adaptive access of a station to the channel. The performance of the proposed method has been evaluated with NS-2. The results showed that it outperforms IEEE 802.11e HCCA

Multi‐objective single‐shot neural architecture search via efficient convolutional filters

Abstract This paper presents a novel approach for fast neural architecture search (NAS) in Convolutional Neural Networks (CNNs) for end‐to‐end License Plate Recognition (LPR). The authors propose a one‐shot schema that considers the efficiency of different convolutional filters to create a search space for more efficient architectures on vector processing cores. The authors’ approach utilizes a super‐network for LPR using Connectionist‐Temporal‐Cost (CTC) and ranks the importance of filters to generate a fine‐grain list of architectures. These architectures are evaluated in a multi‐objective manner, resulting in several Pareto‐optimal architectures with different computational costs and validation errors. Rather than using a single complicated building block for all layers, the authors’ method allows each stage to select a custom building block with fewer or more operations. The authors show that their super‐network is flexible to calculate filters of any required size and stride in each stage while keeping it efficient by the structural pruning. The authors’ experiments, which were performed on Iranian LPR, demonstrate that this method produces a variety of fast and efficient CNNs. Furthermore, the authors discuss the potential of this method for use in other areas of CNN application

TDD cognitive radio femtocell network (CRFN) operation in FDD downlink spectrum

Deploying cognitive radio femtocell network (CRFN) inside a macrocell network can significantly increase the utilization of the available macrocell bandwidth and increase the capacity of the macrocell. However, the success of this deployment in terms of performance degradation of the macrocell and the acceptable throughput for the CRFN is not well defined. In this paper, we propose a time division duplex (TDD) operation of a CRFN and investigate its performance inside a macrocell operating in frequency division duplex (FDD) mode. It is shown that with a proper sensing and transmission scheme the capacity of the CRFN can be increased by simultaneous transmissions on multiple channels, water-filling further improves the result when interference from the macrocell basestation is large. The proposed scheme is applicable to full duplex networks, such as LTE and GSM