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Understanding the characteristics of spectrum utilization is essential in providing guidelines for resource allocation. In this paper, a detailed measurement analysis of spectrum efficiency is performed, with data collected from tens of thousands of base stations during fifteen months. We examine the characteristics of radio resource margins (RM) extensively, including its temporal skewness, diurnal...
As the smartphone market increasingly gains its prosperity nowadays, Internet traffic generated by mobile terminals is also booming. The detailed traffic flow data is helpful to discover association relationship of applications and user behavior patterns. In this paper, we study the correlation of mobile apps based on a mobile network traffic dataset from a data mining perspective. This dataset is...
With the development of mobile device and wireless networks, user location becomes increasingly valuable in enhancing user experience, system performance and resource allocation. Location-based services have been not only an important perspective of social media, but also a significant contributor to big data analysis. Location prediction, as an interesting topic, can help improve system performance...
A scheduling algorithm based on weighted users' correlation and fairness (WUCFS) is proposed for MU-MIMO downlink broadcast channels (BC), to address the problem that traditional fairness scheduling algorithms cannot handle, i.e., they cannot accurately compute the achievable rate for each user in their iterative user selection process, thus creating an undesirable tradeoff between user fairness and...
In this work, the autocorrelation and autocovariance functions of the channel state information (CSI) in a multi-cell mobile network with fast fading is derived analytically. The derivation is based on the Rayleigh fading model. A squared Bessel function is found to be a good approximation of the autocovariance. Simulations confirm both the analytical result and approximation to be accurate for short...
In this paper, we propose Received Signal Strength (RSS)-based localization method in WiFi network using the Compressed Sensing theory (CS). The main contributions are two-folds. First, we need no additional infrastructure more than the existing WiFi networks for targets localization. Second, in our approach, we have introduced an improvement of the Orthogonal Matching Pursuit (OMP) in order to relax...
Wireless communication mainly depends upon the channel through which the signals are travelling. The underwater channel poses numerous challenges for wireless communication. Underwater communication suffers from long propagation delay, multipath and fading, limited bandwidth, and potentially high spatial and temporal variability. This paper analyses the statistical characteristics of underwater channel...
This paper proposes an inter-frame correlation based error concealment approach for hybrid CELP (Code Excited Linear Prediction) and transform codec's with both good speech and audio quality at moderate bit rates. The proposed scheme is designed to overcome the main challenge due to the diversified characteristics of input signals. The underlying idea is to employ the inter-frame correlation of previous...
We present methods to predict and validate home and work places of anonymized users using their mobile network data. Knowledge of home and work place of a user is essential in order to find his (and overall population) mobility profiles. There are many methods that predict home and work places using GPS data. But unlike GPS data, mobile network data using GSM do not provide the exact location of a...
Traditional OTA (Online Travel Agent) is challenged by the Internet and mobile business with the evolution of information. The precise forecasting of ticket sales in OTA companies is beneficial to budget control and service quality. The paper develops an integrated forecasting model by combining the internal factors immediately influencing the ticket sales and the external factors reflecting the ticket...
This paper develops a general and unified multi-input multi-output (MIMO) channel model applicable to both mobile satellite systems (MSS) and ancillary terrestrial component (ATC) links of integrated MSS with ATC. Major channel parameters pertaining to the MSS and ATC links, such as large-scale path loss, shadowing effect, small-scale multi-path fading, satellite elevation angle, channel polarization...
In this paper, we present the performance of an RSSI based localization scheme for wireless sensor networks (WSN) that is proposed to reduce the adverse effects of shadowing caused by obstacles in the field of deployment. The proposed scheme applies spatial correlations between a set of candidate solutions that are obtained from subsets of beacon signals that are used for localization. We analyze...
The concern over the quality of delivering video streaming services in mobile wireless networks is addressed in this work. A framework that enhances the Quality of Experience (QoE) of end users through a quality driven resource allocation scheme is proposed. To play a key role, an objective no-reference quality metric, Pause Intensity (PI), is adopted to derive a resource allocation algorithm for...
Opportunistic mobile networks consist of mobile devices which are intermittently connected via short-range radios. Forwarding in such networks relies on selecting relays to carry and deliver data to destinations upon opportunistic contacts. Due to the intermittent network connectivity, relays in current forwarding schemes are selected separately in a distributed manner. The contact capabilities of...
Proportional Fair (PF) scheduling algorithms are the de-facto standard in cellular networks. They exploit the users' channel state diversity (induced by fast-fading), and are optimal for stationary channel state distributions and an infinite time-horizon. However, mobile users experience a non-stationary channel, due to slow-fading (on the order of seconds), and are associated with basestations for...
The success of traditional learning is based on the individual use of learning tools, depending on the learners' personality. But modern eLearning is disregarding this major fact. By using learning analytics, this paper examines the correlation between personality traits of the user and preferred learning tools in an eLearning scenario. The investigation is based on a field study with 992 participants...
The proliferation of mobile ubiquitous devices faces a hurdle in the form of high resource consumption rates that restrict longevity. Several low-power devices and application designs and optimization techniques have been proposed. Simultaneously, energy harvesting technologies are increasingly being viewed as a complementary technique to drive down resource consumption rates and even achieve self-sustenance...
Data hiding schemes using complete complementary codes have been developed for image and audio signals. It has been shown that a high payload and a low bit-error-rate can be achieved by such data hiding strategies because of the ideal auto- and cross-correlation properties of complete complementary codes. The authors have proposed a disaster prevention broadcasting system based on the data hiding...
Cloud-processing techniques in wireless network are emerging in recent years. Due to the resource energy restriction, power optimization schemes are demanded for designing future transmission strategies. However, it is not realistic to consider the techniques of the whole cloud network having massive amount of nodes. Instead, it is quite reasonable that we first decompose the whole network topology...
Mobile coupon is an electronic ticket and is currently used for a financial discount and rebate. NFC is a short range wireless standard and has an advantage that the communication is very simple. In this paper, we propose a NFC-based mobile coupon for small traders and enterprisers. Since it is expensive for small shops to create and distribute their own coupons, NFC communication is only used to...
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