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In order to have a competitive edge in increasing global competition, memory industries need to improve productivity by a novel manufacturing strategy which is apposite to the rapid market changes. However, the conventional wafer productivity model only focuses on maximizing gross die which cannot address wafer productivity for profitability, i.e. return on investment (ROI), with respect to current...
The rapid growth in the number and variety of connected devices requires 5G wireless systems to cope with a very heterogeneous traffic mix. As a consequence, the use of a fixed transmission time interval (TTI) during transmission is not necessarily the most efficacious method when heterogeneous traffic types need to be simultaneously serviced. This work analyzes the benefits of scheduling based on...
Large datasets in astronomy and geoscience often require clustering and visualizations of phenomena at different densities and scales in order to generate scientific insight. We examine the problem of maximizing clustering throughput for concurrent dataset clustering in spatial dimensions. We introduce a novel hybrid approach that uses GPUs in conjunction with multicore CPUs for algorithmic throughput...
This paper deals with the recently introduced class of Non-Surjective Finite Alphabet Iterative Decoders (NS-FAIDs). First, optimization results for an extended class of regular NS-FAIDs are presented. They reveal different possible trade-offs between decoding performance and hardware implementation efficiency. To validate the promises of optimized NS-FAIDs in terms of hardware implementation benefits,...
In future mobile networks, the wireless transport networks are expected to carry traffic flows with different throughput and delay requirements due to the introduction of Cloud-RAN (C-RAN) and different functional splits that can be used, e.g., as defined by Next Generation Fronthaul Interface (NGFI). A promising wireless technology to support the high throughput requirements of C-RAN splits is Millimeter...
Results are presented for optimizing device-to-device communications in cellular networks, while maintaining spectral efficiency of the base-station-to-device downlink channel. We build upon established and tested stochastic geometry models of signal-to-interference ratio in wireless networks based on the Poisson point process, which incorporate random propagation effects such as fading and shadowing...
In this paper, we investigate the energy efficient resource allocation problem for the wireless powered OFDMA multi-cell networks. In the considered system, the users who have data to transmit in the uplink are empowered by the wireless power obtained from multiple base stations (BSs) with a large scale of multiple antennas in the downlink. A time division protocol is considered to divide the time...
In this paper, we study the performance of initial access beamforming schemes in the cases with large but finite number of transmit antennas and users. Particularly, we develop an efficient beamforming scheme using genetic algorithms. Moreover, taking the millimeter wave communication characteristics and different metrics into account, we investigate the effect of various parameters such as number...
Software-defined networking (SDN) is used commercially to improve network agility and traffic management capability. As deployed and tactical military systems are often constrained by network performance it is vital to quantify the performance impact of the SDN control plane if SDN is to be exploited in this environment. To assess this we identify the key types of messages used in OpenFlow and how...
We study an offloading mechanism for cellular networks in which mobiles with good cellular links can act as hotspots and can assist other mobiles. We study throughput optimal offloading and also a fair offloading strategy which we call proportional increment offloading. We show that the former problem can be reduced to a capacitated facility location problem (CFLP) whereas the latter can be solved...
This work is focused on FPGA based implementations of the SHA-3 hash functions. The existing literature classifies the existing implementations according to the adopted structural optimization techniques, namely: folding, pipelining and unrolling. Several structures have been proposed in the state-of-the-art, which vary mainly in the level of folding and the number of pipeline stages. While unfolded...
We present methods for the effective application level reordering of non-blocking RDMA operations. We supplement out-of-order hardware delivery mechanisms with heuristics to account for the CPU side overhead of communication and for differences in network latency: a runtime scheduler takes into account message sizes, destination and concurrency and reorders operations to improve overall communication...
Ultra Dense network (UDN) is considered as one of the promising and efficient communication solution for high throughput and large connection numbers scenarios. Due to the densification of the users perspective and massive-access opportunities, how to optimize the multiple users access in UDN is an important and complicated problem. The traditional multi-user access schemes may be no longer suitable...
Equipped with the Chinese home-grown SW26010 many-core processor, TaihuLight claims the top place in the TOP500 list released in June 2016. Although some large-scale applications have been successfully running on the supercomputer, few studies have been conducted to analyze the performance impact caused by the extreme memory-bound architecture design. To facilitate native in-depth optimizations and...
We investigate the problem of joint AP coverage adjustment and user association optimization for load balancing in multi-rate WLANs in this paper. We first divide the problem into two sub-problems and then formulate them as mixed integer linear programming models, which aim to minimize the AP utilization of the most congested AP while satisfying users' traffic demands. Then we design two corresponding...
High-level decisions have the most impact on power consumption, but the effect of those decisions cannot be known until the hardware is implemented. This paper walks the reader through an industrial high-level low-power design methodology that enables the designer to consider and quantitatively evaluate a broad range of hardware implementations to find the most power-efficient architecture. This paper...
Recently, Cognitive network has drawn the attention as a promising technology to enhance communication system performance by efficiently utilizing system resources. It provides prompt response to dynamic changes. In this paper, a modified multi-objective particle swarm optimization (M-MOPSO) is proposed in Cognitive IP Multimedia Subsystem (CogIMS) to improve the global network performance. The implementation...
The distinction between the radio access network and the backhaul network is disappearing with emerging advanced features. The backhaul is invading the radio assess spectrum to enable wireless in-band connections and the radio network is overlapping with the transport network through cloud processing and distributed functions. As such, it is of pivotal importance to approach the optimisation of the...
Spectrum efficiency (SE) and energy efficiency (EE) are two key targets in wireless communication networks. Applying energy harvesting technology to cognitive radio networks (CRNs), which is called RF-powered CRNs, provides an effective method to improve both SE and EE of CRNs. In conventional RF-powered CRNs, secondary transmitters (STs) equipped with RF energy harvesting capability opportunistically...
In this paper, we investigate resource allocation for multicarrier communication systems employing a full-duplex base station for serving multiple half-duplex downlink and uplink users simultaneously. We study the joint power and subcarrier allocation design for the maximization of the weighted sum throughput of the system. The algorithm design is formulated as a mixed combinatorial non-convex optimization...
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