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In wireless sensor networks, multi-node cooperative relaying (MR) scheme represents a potential candidate to combat the effects of channel fading by exploiting diversity gain achieved via cooperation among the relays nodes. But, a great many of relaying channels are employed in MR system, which means that the number of required channels, the energy consumption and transmission delay all increase linearly...
Energy Efficiency (EE) has become one of the main challenges for the development of wireless communication systems. Thus, many researchers are investigating new solutions to save power. For this reason, in this paper we apply a method based on modulation and coding scheme (MCS) for multiband orthogonal frequency division multiplexing (MB-OFDM) ultra wideband (UWB) systems. The MCS scheme is a powerful...
Underwater wireless sensor networks (UWSNs) are meant to be deployed at the areas that need to be monitored continuously without the human assistance. Therefore, these networks are expected to stay operational for a longer period of time. However, sensor nodes in these networks are equipped with limited energy (e.g., battery) resources. Moreover, uneven energy consumption is one of the biggest challenges...
Underwater wireless sensor networks (UWSNs) are meant to be deployed at the areas that need to be monitored continuously without the human assistance. Therefore, these networks are expected to stay operational for a longer period of time. However, sensor nodes in these networks are equipped with limited energy (e.g., battery) resources. Moreover, uneven energy consumption is one of the biggest challenges...
Cloud Computing is a major area of research. Cost and Load balancing has become an important QoS parameter. Load Balancing directly affects the Reliability, Response Time, Throughput and Energy Efficiency of a Server. A good Load Balanced architecture implies minimized overall time, less server failure, minimized response time, increased throughput and less wastage of energy. Such architecture also...
Mobile peer-to-peer (P2P) network is a simple computing network in which some of the mobile devices are communicated with peer-to-peer mode through access point. Energy efficiency in mobile P2P is improved by increasing the number of active nodes on the network and reducing the consumed energy by the number of idle nodes. However, if a lot of the number of active nodes perform the transmission process,...
The ever increasing demand for communication bandwidth and inefficient usage of the existing spectrum has led to spectrum scarcity. In this light, spectrum should be managed as a scare resource. For radio communication systems, efficient utilization of spectrum is the key requirement. The inefficient usage of the existing spectrum can be improved through opportunistic access to the licensed bands...
The era of cloud based multimedia applications has lead to a huge increase in the no. of requests on cloud. The increased no. of requests on cloud leads to an increased workload, making workload balancing an important QoS Parameter. Workload Balancing also leads to a judicious use of resources like electricity etc. and thus promotes the concept of Green IT. The paper presents a new Load Balanced Resource...
Recently, study on designing a new metric to express quality of experience (QoE) has attracted attention since user satisfaction may be different according to the types of served traffic. The utility function for various traffic has been studied for many years and most of the previous work focused on the utility functions with respect to a single performance metric such as throughput. However, multiple...
The potential of device-to-device (D2D) technology to support multicast services in LTE-Advanced networks has been recently realized. D2D communication brings great benefits to cellular networks in terms of enhanced spectral efficiency and larger coverage by enabling the devices to communicate directly with each other. D2D communication may lead to improved network capacity by sharing resources with...
Nowadays the rapid growth of user data rate requirement prompts dense deployment of small cell. However, the dense deployment strategy will bring in new interference problem due to the short distance between cells. Coordinated Multiple Point (CoMP) transmission is considered to be an effective way to mitigate Inter-Cell Interference (ICI). In this paper, we propose a novel CoMP transmission algorithm...
Reduction of energy consumption is becoming a crucial aspect of wireless communications, due to the need of lowering CO2 emissions and enhancing mobile network operators OPEX. In this work we consider a heterogeneous mobile network topology with coexisting macrocellular and microcellular Base Stations (BSs). By employing two energy optimization heuristics we determine operational profiles for the...
The rapidly increasing penetration of smart phones and the associated exponential growth in the wireless data traffic result in an increasing energy consumption and, consequently, greater carbon dioxide (CO2) emissions. However, on account of operational costs and environmental worries, this increase should be taken into consideration for future cellular networks evolution. In this paper, we study...
A blind classification SoC for cognitive radios, featuring multi-signal channelization, 16-core dynamic parallelism-frequency scaling and GALS-based multithreading, is realized in 40nm CMOS. Targeting ≥95% detection probability and < 0.5% false-alarm rate, the SoC achieves a throughput-insensitive energy efficiency of 11.9–13.6GOPS/mW for multiple 7.8–125MHz bandwidth-agnostic signals in a 500MHz...
We consider a two-tier urban Heterogeneous Network where small cells powered with renewable energy are deployed in order to provide capacity extension and to offload macro base stations. We use reinforcement learning techniques to concoct an algorithm that autonomously learns energy inflow and traffic demand patterns. This algorithm is based on a decentralized multi-agent Q-learning technique that,...
The increasing network speeds, number of attacks, and need for energy efficiency are pushing software-based network security to the limit. A common kind of threat is probing attacks, in which an attacker tries to find vulnerabilities by sending many probe packets to a target machine. In this paper, we evaluate three machine learning classifiers (Decision Tree, Naive Bayes, and k-Nearest Neighbors),...
Enabling coordination between products from different vendors is a key characteristic of the design philosophy behind future wireless communication networks. As an example, different devices may have different implementations, leading to different user experiences. A similar story emerges when devices running different physical and link layer protocols share frequencies in the same spectrum in order...
Cognitive radio is one way to overcome the limitations of the frequency spectrum. Cognitive radio users can utilize the frequency spectrum that is not being used (white space) by detect the frequency spectrum. Spectrum sensing is done periodically to ensure there is no interference, in that sense spectrum sensing activity in cognitive radio will increase energy consumption. Therefore, energy efficiency...
As the Information and Communication (ICT) infrastructure continues to evolve, throughput and energy efficiency have become key metrics. This talk explores FPGA-based parallel architectures and algorithms for a variety of streaming applications arising in Telecom and Big Data. We show high performance accelerators for deep packet inspection, regular expression matching, packet classification, traffic...
Green communication has been a hot issue with the energy consumption of ICT industry continuously growing. To achieve the goal of energy saving, base station sleep schemes are extensively investigated; however, they are hard to implement in actual commercial network for the risk of losing of users. So in this paper, we try another way to improve the energy efficiency of LTE network by interworking...
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