LTE in the sky: Trading off propagation benefits with interference costs for aerial nodes

B Van Der Bergh, A Chiumento… - IEEE Communications …, 2016 - ieeexplore.ieee.org
The popularity of unmanned aerial vehicles has exploded over the last few years, urgently
demanding solutions to transfer large amounts of data from the UAV to the ground …

[图书][B] Advances in mobile computing and communications: perspectives and emerging trends in 5G networks

MB Krishna, JL Mauri - 2016 - taylorfrancis.com
By 2020, if not before, mobile computing and wireless systems are expected to enter the fifth
generation (5G), which promises evolutionary if not revolutionary services. What those …

[HTML][HTML] Low power offloading strategy for femto-cloud mobile network

A Mukherjee, D De - … Science and Technology, an International Journal, 2016 - Elsevier
Nowadays offloading is a popular method of mobile cloud computing where the required
computation takes place remotely inside the cloud. But whether to process an application …

Distributed power and channel allocation for cognitive femtocell network using a coalitional game in partition-form approach

T LeAnh, NH Tran, S Lee, EN Huh… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
The cognitive femtocell network (CFN) integrated with cognitive-radio-enabled technology
has emerged as one of the promising solutions to improve wireless broadband coverage in …

On the performance evaluation of MIMO-SCMA systems

W Abdessamad, Y Nasser… - 2016 8th International …, 2016 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) systems is an emerging technology that is
paving its way into wireless communication systems. Massive MIMO consists of tens or …

Dynamic PCI allocation on avoiding handover confusion via cell status prediction in LTE heterogeneous small cell networks

Z Xiao, T Li, W Ding, D Wang… - … and Mobile Computing, 2016 - Wiley Online Library
In this paper, we investigate the inbound handover confusion in the two‐tier macrocell‐small
cell networks with help of mobility prediction. Instead of studying the mobile user's (MU) …

A self‐organized resource allocation scheme for heterogeneous macro‐femto networks

M Mehta, N Rane, A Karandikar… - Wireless …, 2016 - Wiley Online Library
This paper investigates the radio resource management (RRM) issues in a heterogeneous
macro‐femto network. The objective of femto deployment is to improve coverage, capacity …

Handover algorithm for heterogeneous networks

S Deswal, A Singhrova - 2016 3rd International Conference on …, 2016 - ieeexplore.ieee.org
Large number of wireless technologies lead to heterogeneity of the access environment.
Mobility Management is an important issue for such networks. Vertical handover decision is …

Interference alignment in overlay cognitive radio femtocell networks

M Hasani‐Baferani, J Abouei… - IET …, 2016 - Wiley Online Library
An overly multiple‐input–multiple‐output cognitive radio femtocell network consisting of P
macrocell users equipments (MUEs), known as primary users (PUs), and K femtocell access …

A MGF based closed form expressions for error probability and capacity over EGK fading for interference limited system

SP Singh, S Kumar - Wireless Personal Communications, 2016 - Springer
Rapid increase in the number of user per day has been observed in the field of wireless
communication. This demands more and more data rate. Indoor deployment has been …