Showing papers by "S. M. Riazul Islam published in 2016"

Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges

Abstract: Non-orthogonal multiple access (NOMA) is one of the promising radio access techniques for performance enhancement in next-generation cellular communications. Compared to orthogonal frequency division multiple access (OFDMA), which is a well-known high-capacity orthogonal multiple access (OMA) technique, NOMA offers a set of desirable benefits, including greater spectrum efficiency. There are different types of NOMA techniques, including power-domain and code-domain. This paper primarily focuses on power-domain NOMA that utilizes superposition coding (SC) at the transmitter and successive interference cancellation (SIC) at the receiver. Various researchers have demonstrated that NOMA can be used effectively to meet both network-level and user-experienced data rate requirements of fifth-generation (5G) technologies. From that perspective, this paper comprehensively surveys the recent progress of NOMA in 5G systems, reviewing the state-of-the-art capacity analysis, power allocation strategies, user fairness, and user-pairing schemes in NOMA. In addition, this paper discusses how NOMA performs when it is integrated with various proven wireless communications techniques, such as cooperative communications, multiple input multiple output (MIMO), beamforming, space time coding, and network coding, among others. Furthermore, this paper discusses several important issues on NOMA implementation and provides some avenues for future research.

The IoT: Exciting Possibilities for Bettering Lives: Special application scenarios.

Abstract: The Internet of Things (IoT) is a Network of Recognizable Physical objects (or things). It includes anyone, anything, any service, and any network connected to the Internet used to retrieve information at any time and from anywhere. The IoT is smart enough to offer us solutions for a wide range of applications, including intelligent transportation systems, personal communications, consumer electronics, health care, organizational services, securities and monitoring, and industrial controls.

Two-Stage Channel Estimation With Estimated Windowing for MB-OFDM UWB System

Abstract: We propose a two-stage channel estimation technique for high rate ultra-wideband communication system. In the preamble-stage, we perform initial channel estimation using least square approach followed by frequency-domain smoothing operation. Estimated channel at this stage is then windowed by a rectangular window of Hannan-Quinn criteria-optimized length. In the payload-stage, estimated channel from the previous stage is further refined by applying time- and frequency-redundancy in a decision-directed manner followed by smoothing and windowing. Link level simulation shows that the two-stage method with optimized windowing provides a good estimation performance close to that of the minimum-mean-square-estimation (MMSE) scheme with significant reduction in computational cost.

Fuzzy Domain Ontology-based Opinion Mining for Transportation Network Monitoring and City Features Map

Abstract: Traffic congestions are rapidly increasing in urban areas. In order to reduce these problems, it needs real-time data and intelligent techniques to quickly identify traffic activities with useful information. This paper proposes a Fuzzy Domain Ontology(FDO)-based opinion mining system to monitor the transportation network in real-time as well to make a city polarity map for travelers. The proposed system retrieves tweets and reviews related to transportation activities and a city. The feature opinions are extracted from these tweets and reviews and then used FDO to identify transportation and city features polarity. This FDO and intelligent prototype are developed using OWL (Web Ontology Language) and JAVA, respectively. The experimental result shows satisfactory improvement in tweets and review`s analyzing and opinion mining.