Current Issue : July - September Volume : 2016 Issue Number : 3 Articles : 4 Articles
This paper considers broadband potential of distribution Broadband over Power Lines (BPL) networks when different well-known\nnoise models of the BPL literature are applied. The contribution of this paper is twofold. First, the seven most representative and\nused noise models of the BPL literature are synopsized in this paper. With reference to this set, the broadband performance of a\ngreat number of distribution BPL topologies either Overhead (OV) or Underground (UN), either Medium-Voltage (MV) or Low-\nVoltage (LV), is investigated in terms of suitable capacity metrics. Second, based on the proposed capacity metrics, a comparative\ncapacity analysis is performed among various well-validated noise models.Through the careful study of its results, it is demonstrated\nthat during capacity computations of distribution BPL networks, the flat Additive White Gaussian Noise (FL noise model) can be\ncomfortably assumed as an efficient noise model either in 3ââ?¬â??30MHz or in 3ââ?¬â??88MHz frequency range since its capacity differences\nwith the other well-proven noise models are negligible....
Poor cell selection is the main challenge in Picocell (PeNB) deployment in Long Term Evolution- (LTE-) Advanced heterogeneous\nnetworks (HetNets) because it results in load imbalance and intercell interference. A selection technique based on cell range\nextension (CRE) has been proposed for LTE-Advanced HetNets to extend the coverage of PeNBs for load balancing. However,\npoor CRE bias setting in cell selection inhibits the attainment of desired cell splitting gains. By contrast, a cell selection technique\nbased on adaptive bias is a more effective solution to traffic load balancing in terms of increasing data rate compared with static bias based\napproaches. This paper reviews the use of adaptive cell selection in LTE-Advanced HetNets by highlighting the importance of\ncell load estimation. The general performances of different techniques for adaptive CRE-based cell selection are compared. Results\nreveal that the adaptive CRE bias of the resource block utilization ratio (RBUR) technique exhibits the highest cell-edge throughput.\nMoreover, more accurate cell load estimation is obtained in the extended RBUR adaptive CRE bias technique through constant bit\nrate (CBR) traffic, which further improved load balancing as against the estimation based on the number of user equipment (UE).\nFinally, this paper presents suggestions for future research directions....
Ad hoc networks lack support of infrastructure and operate in a shared bandwidth wireless environment. Presently, such networks\nhave been realized by various adaptations in Internet Protocol (IP) architecture which was developed for infrastructure oriented\nhierarchical networks. The IP architecture has its known problem and issues even in infrastructure settings, like IP address\noverloading, mobility, multihoming, and so forth. Therefore, when such architecture is implemented in ad hoc scenario the\nproblems get multiplied. Due to this fact, ad hoc networks suffer from additional problems like IP address autoconfiguration,\nservice provisioning, efficient bandwidth utilization, and node identification. In this paper we present IDHOCNET which is a novel\nimplementation of service provisioning and application development framework in the ad hoc context. We illustrate a number of\nimplemented features of the architecture which include IP address autoconfiguration, identification of nodes by using real world\nidentifiers, IP based services support in ad hoc networks, and a new class of application known as ID based application. Moreover\nhow identifiers can completely replace the IP addresses to run the IP based applications is shown. It is expected that this work will\nopen new research horizons and paradigms for ad hoc networks....
With the development of 4G mobile telecommunication systems, providing users with the convenience of a seamless continuous\nconnection is not enough anymore. Users want to be connected through the best available network with the best quality of service.\nIt is necessary to have a good decision-making algorithm which decides whether it is necessary to perform handoff to another\nnetwork, the best network to vertically perform handoff to, and the right time to initiate the handover. This paper proposes a new\napproach in which mobile terminals (MTs) continuously analyze the network and keep a database of the best available networks.\nThe concept is based on QoS aware ant colony built on the vertical handoff mechanism that uses an updated version of ants� colony\noptimization decision algorithm (ACOR), the dynamic and static factors such as RSS, the cost of service, bandwidth, the velocity\nof MT, the power consumption and security, and the module for predicting the traveling distance within an IEEE 802.11 WLAN\ncell. Simulation results show that we can not only meet the individual needs of users in terms of QoS, but also improve the whole\nsystem performance by reducing the number of handover failures and unnecessary handover instances by up to 95%....
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