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We present a novel out-of-band spectrum sensing and channel allocation scheme for frequency hopping based cognitive radio networks using genetic algorithm. Based on the optimized solution derived from GA, a set of nodes for sensing the next hopping channel and a set of nodes for transmitting data on current channel are derived. The channel allocation is performed according to individual traffic demand...
We report the current status of our work on the hybrid traffic control schemes and service plans exploiting excess bandwidth allocation for the implementation of fully-shared access networks. The current practice of shaping subscriber traffic using a token bucket filter results in a severe waste of network resources in shared access networks, because it cannot allocate excess bandwidth to active subscribers...
We present a simulation-based study of the impacts of channel switching overhead on the performance of multicast in multi-channel multi-radio wireless mesh networks (MCMR WMNs). We study how channel switching overhead affects the performance metrics such as packet delivery ratio, throughput, end-to-end delay, and delay jitter of a multicast session.
IEEE 802.11 Wireless Local Area Networks (WLANs) has become one of the most popular networking environments. With high density WLANs, it causes the interference among access points (APs) and degrades the performance of APs, especially in public area. To solve this problem, we design and implement a Cluster-based Channel Assignment (CCA), a combination of RSS-Aware Channel Selection Module (RCSM) and...
In this paper, the downlink performance of two-tier heterogenous network is investigated. We consider a scenario where the macro-tier is empowered by massive antenna-array thus allowing for Massive multiple-input multiple-output (MIMO) transmission scheduling. The small cellular network complements the macro-tier capacity. We propose a novel channel allocation mechanism which optimally splits the...
In order to meet the requirement of space payload system and the data transmission, a scheme of static and dynamic bandwidth allocation (SBA+DBA) of PON FC-AE-1553 network was proposed based on both theoretical analysis and simulation approaches. In our paper, the data type of payload was divided into periodic data, application data and burst data, the periodic data and burst data use the SBA and...
We propose a novel algorithm for channel assignment in wireless body area networks. The proposed approach is based on the machine learning sub-domain known as reinforcement learning, and is named reinforcement learning — channel assignment algorithm (RL — CAA). RL — CAA interacts with the environment in an unsupervised way and selects the optimal frequency channel for the wireless sensor nodes. RL-CAA...
We propose a bandwidth allocation scheme utilizing simple statistical traffic analysis for TDM-PON based mobile fronthaul. Experiments show that excess bandwidth allocation can be reduced while achieving latency under 50 μs.
In a multi-hop wireless network, a node can act as a candidate file provider to other nodes, if it has downloaded the file from the Internet. When another node requires the same file, all nodes which have already obtained the file can act as candidate file providers (sources) and transmit file together to the request node (destination). We form this as the multi-source transmission. As the multi-source...
All users in Cognitive radio networks (CRN) try to occupy the vacant channels sharing with the primary users and other users in CRN under limited channel utilization. Each selfish user can independently choose his strategy to maximize his own payoff at the Nash equilibrium (NE) state. In this work, we analyze the channel allocation problem of multiple CR users in the presence of interference of Primary...
In this paper, we exploit the capture-effect for channel allocation. We experimentally show the characteristics of capture-effect across different channels, over time, and in different network densities. Then, we introduce CACA, an effective channel assignment protocol for wireless sensor networks. Traditional channel assignment protocols utilize all available channels to minimize interferences between...
We instigate the questions of: (i) whether increasing the number of available channels is always useful for improving the Quality of Service (QoS) (i.e., throughput or packet delivering delay) of Wireless Mesh Networks (WMNs), (ii) whether using more complex algorithms for managing Partially Overlapping Channels (POCs) is beneficial in terms of improving the QoS of WMNs? For the purpose of the instigation,...
In this paper, we present a novel guard-band (GB)-aware channel assignment mechanism that attempts at maximization the achieved network throughput by improving spectrum utilization. Unlike most of previously proposed GB-aware channel assignment algorithms that perform the assignment sequentially, the proposed mechanism performs the channel and power assignment for multiple cognitive radio (CR) transmissions...
In this paper, we focus on energy efficiency in cognitive radio networks (CRNs). This is formally stated as the problem of maximizing the energy efficiency (defined as the ratio of the total rate of secondary users (SUs) to total energy consumption), which is a nonlinear integer programming, and then a polynomial time heuristic algorithm is presented to address it. In contrast to existing schemes,...
Users can now connect to the Internet through a wide variety of access networks and communication terminals. This has brought a great demand for cloud computing which allows users to enjoy various Internet services provided by data centers (DC) anytime, anywhere. In cloud computing, the problem arises that a user's quality of service is unfair among users who are different distances from DCs. To provide...
Spectrum scarcity is one of the primary bottlenecks for the future wireless communication systems, for better spectrum utilization cognitive radio plays a vital role. Cognitive radio is a new paradigm of designing wireless communications systems which aims to enhance the utilization of the radio frequency (RF) spectrum for wireless communications. Available spectrum bands may vary with different cognitive...
In recent years, many studies on optimization of energy consumption have focused on heterogeneous processor architectures. Heterogeneous computing model composed of CPU and GPU has developed from co-processing between the chips to CPU and GPU integration on the same die. On the one hand, because GPU can work under low voltage and ultra-low frequency, heterogeneous multi-core processors exhibit better...
Cognitive Radio Networks (CRNs) provide a convenient way to access under-utilized TV bands for wireless radio users. Different co-located networks must have to coexist by accessing different parts of the incumbent free available spectrum in an opportunistic manner. In this paper, we propose a fully distributed non-cooperative game theoretic scheme for resource scheduling in self-coexisting cognitive...
Multi-channel MAC protocols gains very much importance because of the necessity to enhance the network capacity of wireless networks. Existing MAC protocols rarely exploit the non-interfering multiple channels of 802.11 standard. This paper evaluates a channel allocation method which improves the overall throughput of 802.11 MAC. This method reduces collision considerably, by allowing each node to...
In this paper, we proposed a novel channel access method that uses location based channel assignment for autonomous vehicles. The proposed method is based on multiple tiers of assignment tables with transmit power control. In order to improve slot utilization, we enhance the proposed method with slot re-allocation using Voronoi diagrams. Through computer simulations, the effectiveness of the proposed...
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