89 research outputs found
Adaptive Beamforming and Adaptive Modulation-Assisted Network Performance of Multiuser Detection-Aided FDD and TDD CDMA Systems
The network performance of a frequency division duplex and time division duplex (TDD) code division multiple access (CDMA)-based system is investigated using system parameters similar to those of the Universal Mobile Telecommunication System. The new call blocking and call dropping probabilities, the probability of low-quality access, and the required average transmit power are quantified both with and without adaptive antenna arrays (AAAs), as well as when subjected to shadow fading. In some of the scenarios investigated, the systemâs user capacity is doubled with the advent of adaptive antennas. The employment of adaptive modulation techniques in conjunction with AAAs resulted in further significant network capacity gains. This is particularly so in the context of TDD CDMA, where the systemâs capacity becomes poor without adaptive antennas and adaptive modulation owing to the high base station (BS) to BS interference inflicted as a consequence of potentially using all time slots in both the uplink and downlink of the emerging wireless Internet. Index TermsâAdaptive beamforming, adaptive modulation, code division multiple access (CDMA) systems, Universal Mobile Telecommunication System Terrestrial Radio Access (UTRA), wireless network performance
Improving the Performance of Medium Access Control Protocols for Mobile Adhoc Network with Smart Antennas
Requirements for high quality links and great demand for high throughput in Wireless
LAN especially Mobile Ad-hoc Network has motivated new enhancements and work in
Wireless communications such as Smart Antenna Systems. Smart (adaptive) Antennas
enable spatial reuse, increase throughput and they increase the communication range
because of the increase directivity of the antenna array. These enhancements quantified
for the physical layer may not be efficiently utilized, unless the Media Access Control
(MAC) layer is designed accordingly.
This thesis implements the behaviours of two MAC protocols, ANMAC and MMAC
protocols in OPNET simulator. This method is known as the Physical-MAC layer
simulation model. The entire physical layer is written in MATLAB, and MATLAB is
integrated into OPNET to perform the necessary stochastic physical layer simulations.
The aim is to investigate the performance improvement in throughput and delay of the
selected MAC Protocols when using Smart Antennas in a mobile environment. Analytical
methods were used to analyze the average throughput and delay performance of the
selected MAC Protocols with Adaptive Antenna Arrays in MANET when using spatial
diversity. Comparison study has been done between the MAC protocols when using
Switched beam antenna and when using the proposed scheme.
It has been concluded that the throughput and delay performance of the selected protocols
have been improved by the use of Adaptive Antenna Arrays. The throughput and delay
performance of ANMAC-SW and ANMAC-AA protocols was evaluated in details
against regular Omni 802.11 stations. Our results promise significantly enhancement over
Omni 802.11, with a throughput of 25% for ANMAC-SW and 90% for ANMC-AA.
ANMAC-AA outperforms ANMAC-SW protocol by 60%. Simulation experiments
indicate that by using the proposed scheme with 4 Adaptive Antenna Array per a node,
the average throughput in the network can be improved up to 2 to 2.5 times over that
obtained by using Switched beam Antennas. The proposed scheme improves the
performances of both ANMAC and MMAC protocols but ANMAC outperforms MMAC
by 30%
Advanced Coordinated Beamforming for the Downlink of Future LTE Cellular Networks
Modern cellular networks in traditional frequency bands are notoriously
interference-limited especially in urban areas, where base stations are
deployed in close proximity to one another. The latest releases of Long Term
Evolution (LTE) incorporate features for coordinating downlink transmissions as
an efficient means of managing interference. Recent field trial results and
theoretical studies of the performance of joint transmission (JT) coordinated
multi-point (CoMP) schemes revealed, however, that their gains are not as high
as initially expected, despite the large coordination overhead. These schemes
are known to be very sensitive to defects in synchronization or information
exchange between coordinating bases stations as well as uncoordinated
interference. In this article, we review recent advanced coordinated
beamforming (CB) schemes as alternatives, requiring less overhead than JT CoMP
while achieving good performance in realistic conditions. By stipulating that,
in certain LTE scenarios of increasing interest, uncoordinated interference
constitutes a major factor in the performance of CoMP techniques at large, we
hereby assess the resilience of the state-of-the-art CB to uncoordinated
interference. We also describe how these techniques can leverage the latest
specifications of current cellular networks, and how they may perform when we
consider standardized feedback and coordination. This allows us to identify
some key roadblocks and research directions to address as LTE evolves towards
the future of mobile communications.Comment: 16 pages, 6 figures, accepted to IEEE Communications Magazin
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On Enabling Concurrent Communications in Wireless Networks
Today innumerable devices use the wireless spectrum for communication, including cell-phones, WiFi devices, military radios, public safety radios, satellite phones etc. This crowding is limiting the experience of each device either through interference or by waiting fortheir turn to communicate. So, how do we allow a limited spectral resource to reliably scale to many more devices? This is possible through concurrent communication where multiple links share the spectrum and communicate simultaneously using multi-antenna techniques. One promising technique is Interference Alignment (IA), that has been shown to be Degrees-of-Freedom optimal under some conditions. Still, IA requires accurate channel knowledge to be effective and its ability to achieve high throughput under time varying wireless conditions is yet unproven. We make progress towards understanding these limitations and provide viable solutions.We study an IA system under different models of the time varying channel and derive expressions for the achieved rate over time and the system throughput. Using these, we can arrive at the optimal duration of the data phase that maximizes throughput. We proposetwo strategies that help to counter the effects of a time varying channel. First, data aided receiver beam-tracking along with link adaptation provides a sizable improvement in the received signal to interference and noise ratio. Second, updating the transmit beams during data transmission using short feedback pilots improves alignment at the receivers. In faster varying channels, we get a more stable achieved rate whereas in slower varying channels, we see additional throughput gains. The conclusion from this work is that an IA system must be trained more frequently than the channel coherence time to ensure high throughput and beam adaptation during the data phase gives significant robustness to the system.Lastly, we present an IA based medium access control (MAC) protocol that outperforms traditional protocols. Our concurrent carrier sense multiple access (CSMA) protocol based on beam-nulling is compatible with CSMA and increases the sum throughput by 2 to 3x.We also show that IA outperforms optimal time division multiple access under time varying conditions. Hence a well-designed IA system can enable reliable concurrent communications in a wireless network
Improving the Performance of Medium Access Control Protocols for Mobile Adhoc Network with Smart Antennas
Requirements for high quality links and great demand for high throughput in Wireless
LAN especially Mobile Ad-hoc Network has motivated new enhancements and work in
Wireless communications such as Smart Antenna Systems. Smart (adaptive) Antennas
enable spatial reuse, increase throughput and they increase the communication range
because of the increase directivity of the antenna array. These enhancements quantified
for the physical layer may not be efficiently utilized, unless the Media Access Control
(MAC) layer is designed accordingly.
This thesis implements the behaviours of two MAC protocols, ANMAC and MMAC
protocols in OPNET simulator. This method is known as the Physical-MAC layer
simulation model. The entire physical layer is written in MATLAB, and MATLAB is
integrated into OPNET to perform the necessary stochastic physical layer simulations.
The aim is to investigate the performance improvement in throughput and delay of the
selected MAC Protocols when using Smart Antennas in a mobile environment. Analytical
methods were used to analyze the average throughput and delay performance of the
selected MAC Protocols with Adaptive Antenna Arrays in MANET when using spatial
diversity. Comparison study has been done between the MAC protocols when using
Switched beam antenna and when using the proposed scheme.
It has been concluded that the throughput and delay performance of the selected protocols
have been improved by the use of Adaptive Antenna Arrays. The throughput and delay
performance of ANMAC-SW and ANMAC-AA protocols was evaluated in details
against regular Omni 802.11 stations. Our results promise significantly enhancement over
Omni 802.11, with a throughput of 25% for ANMAC-SW and 90% for ANMC-AA.
ANMAC-AA outperforms ANMAC-SW protocol by 60%. Simulation experiments
indicate that by using the proposed scheme with 4 Adaptive Antenna Array per a node,
the average throughput in the network can be improved up to 2 to 2.5 times over that
obtained by using Switched beam Antennas. The proposed scheme improves the
performances of both ANMAC and MMAC protocols but ANMAC outperforms MMAC
by 30%
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