Design and Modeling of a Quasi-Lumped Planar Inverted-F (PIFA) Antenna for 4G Handheld Devices
MIMO techniques are foreseen as the key for solving current capacity and coverage problems of mobile communications systems. The highly efficient proposed 4G technologies has certainly made use of MIMO techniques to not only decrease interference, but also further provide extra capacity needed in future applications specially at downlink. It requires multiple antenna at both transceivers side which highlights the importance of MIMO handsets.
The challenges for the antenna designer are surprising in MIMO handset. In the other hand, in current mobile handset destines less and less volume is made available for antenna while radiating element must be able to operate on more and more larger number of frequency bands for its divers number of wireless systems typically integrated in a handset. This challenge adds to former antenna design challenges such as miniaturization, integration, multiband operation, achieving required bandwidth and etc. The need for MIMo handset is currently market-driven, but information is rare scarcely shared at commercial level. MIMO techniques are a hot research line since they are a main part of 4G systems, but the specific aspects of MIMO techniques when engaging in reduced-volume such as handset are yet to be fully addressed. Hence the aim of this research was to look for a new approach for MIMO antenna handsets operating in 4G. Currently, PIFA is most attracted antenna used in 4G handsets by various companies for its advantages certainly regarding its low Specific Absorption Rate (SAR). The work was concluded in a research entitled "Design and Modeling of a novel CPW-Fed printed PIFA Antenna Using Quasi-Lumped Resonator for 4G Handheld devices" operating at LTE band 7 (4G Malaysia). The proposed antenna was designed using supporting equations, modelled by Advanced Design System (ADS) and Applied Wave Research (AWR) and the results verified in terms of simulation (using CST and HFSS) and measurement (using Agilent network analyzer).