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This work presents the first integration of a message-passing detector (MPD) and a polar decoder. A soft-output MPD, which is essential to approach the channel capacity, is first proposed. Compared to the state-of-the-art design, the proposed MPD achieves a 6.9x higher throughput with 49% lower energy, despite the soft outputs. The proposed polar decoder achieves a 1.35x higher throughput with comparable...
This paper presents a Non-Binary LDPC decoder with information throughput of 2.267Gbps and power consumption of 212.4mW, yielding an energy efficiency of 93.7pJ/b, implemented in a 40nm CMOS technology. The employed code is long and high-rate without degree-2 variable nodes, resulting in a low error floor. A dual decoding algorithm scheme alleviates the computational complexity of decoding, realized...
Resource allocation and traffic aggregation is becoming a significant part of the network deployment as it is expected that operators will offer advanced services through 5G systems. Scheduling procedures need to be fair but also to handle requirements set for diverse groups of users forming network slices. Heterogeneous networks will need to be controlled locally and the traffic could be split between...
In this paper, the basic methods of routing organization in software-configurable network are considered. The efficiency of the implementation of routing SDN networks are evaluated using a specially designed setting — delays in the routing domain. Evaluates the effectiveness of routing under various principles of organization SDN-Controller and the various protocols for implementing an interface between...
We study the resource allocation problem in RAN-level integrated HetNets. This emerging HetNets paradigm allows for dynamic traffic splitting across radio access technologies for each client, and then for aggregating the traffic inside the network to improve the overall resource utilization. We focus on the max-min fair service rate allocation across the clients, and study the properties of the optimal...
This paper presents an ultra-high-speed/area-efficient Polar encoder design with very high system throughput for emerging next-generation 5G applications. In a demonstrated design example, the proposed hardware architecture is mainly based on 16-parallel radix-2 processing engines. An 8192-point Polar encoder is designed and synthesized with TSMC 40-nm CMOS technology, operating at clock frequency...
This work analyses the actual throughput of the Discrete Sine Transform (DST) stage in a realistic HEVC encoder, which executes the rate-distortion optimization algorithm to achieve high compression quality. Then, a low complexity DST factorization, where all the integer multiplications are substituted with add-and-shift operations, is exploited to design an efficient 1D-DST core. The proposed 1D-DST...
One step required several times for current video encoders is the residual coding loop, composed of the direct transformation, direct quantization, inverse quantization, and inverse transformation. These operations demand high throughput and low latency since their outputs must be processed by other steps of the coder. This paper proposes a high-throughput parallel and multiplierless hardware architecture...
Text analytics has become increasingly important in the past few years because of the substantial growth in the amount of research, business, and government needs. An efficient text analytics system is likely to require high-powered regular expression matching (REGEX), as REGEX operations dominate the whole execution time. Some approaches have exploited the parallelism of graphic processing units...
Cipher-based message authentication code, CMAC, is a NIST approved standard for checking message integrity and authentication. This work presents a low-latency AES architecture for CMAC. The architecture uses intensive parallel processing per round and takes advantage of the BRAM present in modern FPGA. Experimental results show that for typical IoT application, the proposed architecture has a latency...
Lightweight convolutional neural network (CNN) on tiny embedded platforms can offer energy efficient solution for today's IoT devices. However, CNN implementation on embedded system faces processing bottleneck in convolutional layers and memory storage issues in fully connected layers. In past years, heterogeneous acceleration, where compute intensive tasks are performed on kernel specific cores,...
Users located on the cell edge suffer from low data rates due to interference and poor reception. The Coordinated Multipoint technology targets this problem but it imposes overhead on the network, which can result in degradation of the Quality of Service. The Direct CSI feedback to Elected Coordination station architecture minimizes such overhead, resulting in improved data rates. Here, we analyze...
In this paper, we introduce a generalized analytical framework to evaluate the coverage probability in an mmWave heterogeneous cellular network (HetNet) consisting of UHF macrocell base stations (BSs) and mmWave small cell BSs deployed in an urban area. A generalized user association scheme that can cover a few user association schemes is formulated and applied in the mmWave HetNet. Two important...
In this paper, we consider the use of CUDA-based Graphics Processing Units (GPUs) as high performance parallel computing for the purpose of accelerating the application task scheduling in Vehicular Cloud Computing (VCC) systems. We leverage the Single Instruction Multiple Data (SIMD) mode in General-Purpose Graphic Processing Units (GPGPUs) to solve the value iteration algorithm of the defined Markov...
This paper focuses on resource allocation in heterogeneous Ultra Dense small-cell Networks (UDNs), in which massive overlaid small cells are under the coverage of a macro cell. In UDN, both co-tier and cross-tier interference need to be taken into account. When increasing the deployment density of Small-cell Base Stations (SBSs) and the unreasonable energy usage, it results in serious interference...
Orthogonal frequency division multiple access (OFDMA) is considered as a promising technique to overcome interference in multi-cell cellular networks. However, the mobility of heterogeneous user equipment brings new challenge to traditional OFDMA network. The current research about OFDMA system mostly based on multi-cell cellular system that is not perfectly compatible with the future networks, for...
In this paper, we propose a (cell) load-aware approach to performing the downlink coordinated multi-point joint transmission (JT-CoMP) scheme in a dense heterogeneous cellular network (HetNet) consisting M tiers of different kinds of base stations (BSs). Inspiring from the fact that there could exist a considerable number of the void BSs in a dense HetNet that are not associated by any users, this...
Deployment of low power base-stations (referred to as HetNet) within cellular systems can improve system capacity, coverage and enhance users experience. However, the inter-tier and intra-tier interference in such systems can significantly impact overall system performance, which makes interference and spectral resource management more complex. To build, operate HetNet networks, mobile operators have...
Today, machine learning based on neural networks has become mainstream, in many application domains. A small subset of machine learning algorithms, called Convolutional Neural Networks (CNN), are considered as state-ofthe- art for many applications (e.g. video/audio classification). The main challenge in implementing the CNNs, in embedded systems, is their large computation, memory, and bandwidth...
Small cells are being deployed at increasing rates to meet the multimedia communication demand in mobile network, but inter cell interference is a challenge in the heterogeneous network. In this study, we proposed a novel method to solve the small cell placement and the interference management problem. In order to achieve a tradeoff between the quality of service of cell edges user and the whole system...
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