Impact of pattern reconfigurable antennas on Interference Alignment over measured channels

Bahl, Rohit; Gulati, Nikhil; Dandekar, Kapil R.; Jaggard, D.L.

doi:10.1109/glocomw.2012.6477634

Cited by 11 publications

(6 citation statements)

References 15 publications

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“…It is reasonable to assume that an omni-directional antenna would offer the best performance in a rich scattering environment. In outdoor environments or in environments with sparse multi-path or at low signal-to-noise ratio (SNR), ERAS with directional patterns have demonstrated performance gains over conventional antennas [24], [25]. Therefore, we believe the sensing performance of directional modes of the antenna may out perform omni-directional mode in such cases.…”

Section: Measured Resultsmentioning

confidence: 99%

Online Learning for Spectrum Sensing and Reconfigurable Antenna Control

Wanuga¹,

Gulati²,

Saarnisaari³

et al. 2014

Proceedings of the 9th International Conference on Cognitive Radio Oriented Wireless Networks

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Efficient dynamic spectrum access (DSA) policies rely on accurate spectrum sensing information to exploit spectrum white space optimally. Obtaining accurate channel state information (CSI) from local spectrum measurements is made difficult by wireless signal fading and the presence of thermal noise which distorts measured signals and leads to uncertainty regarding the occupancy of spectrum resources. Electrically reconfigurable antenna systems (ERAS) offer the system designer an additional degree of freedom to exploit pattern and polarization diversity to improve the accuracy of local spectrum sensing decisions. We propose a learning technique to exploit pattern and polarization diversity offered by ERAS to improve spectrum sensing accuracy. While the proposed approach is designed to work within the unique design constraints of reconfigurable antennas, the approach is not antenna specific and will work with a wide variety of reconfigurable antenna designs. Validation of system performance is provided from measurements taken using the wireless open access research platform (WARP) software defined radio (SDR) platform in an indoor office environment.

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Section: Measured Resultsmentioning

confidence: 99%

Online Learning for Spectrum Sensing and Reconfigurable Antenna Control

Wanuga¹,

Gulati²,

Saarnisaari³

et al. 2014

Proceedings of the 9th International Conference on Cognitive Radio Oriented Wireless Networks

Self Cite

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“…To overcome this problem, many algorithms have been proposed to reach a trade-off between signal and interference power, such as the MaxSINR algorithm [15] considered in this work. Recent works have also suggested the use of antenna switching strategies [12], [16], [17].…”

Section: B Summary Of Key Practical Issues Arising When Implementingmentioning

confidence: 99%

Experimental evaluation of interference alignment for broadband WLAN systems

Lameiro

González

García-Naya

et al. 2015

J Wireless Com Network

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In this paper, we present an experimental study on the performance of spatial interference alignment (IA) in indoor wireless local area network scenarios that use orthogonal frequency division multiplexing (OFDM) according to the physical-layer specifications of the IEEE 802.11a standard. Experiments have been carried out using a wireless network testbed capable of implementing a 3-user MIMO interference channel. We have implemented IA decoding schemes that can be designed according to distinct criteria (e.g., zero-forcing or MaxSINR). The measurement methodology has been validated considering practical issues like the number of OFDM training symbols used for channel estimation or feedback time. In case of asynchronous users, a time-domain IA decoding filter is also compared to its frequencydomain counterpart. We also evaluated the performance of IA from bit error ratio measurement-based results in comparison to different time-division multiple access transmission schemes. The comparison includes single-and multiple-antenna systems transmitting over the dominant mode of the MIMO channel. Our results indicate that spatial IA is suitable for practical indoor scenarios in which wireless channels often exhibit relatively large coherence times.

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“…Moreover BIA with reconfigurable antennas can also be used in HetNets [33,34] Clearly BIA can be realized by antenna switching technology instead of reconfigurable antennas [14]. To create short-term channel patterns, different antenna technologies are proposed in the literature, electronically steerable parasitic array radiator (ESPAR) [35], circular patch and printed dipole array structures [12]. For the ESPAR option, only simulation results are presented in [35], on the other hand in [12] the two technologies are tested over measured channels.…”

Section: Ofdm Systemsmentioning

confidence: 99%

“…To create short-term channel patterns, different antenna technologies are proposed in the literature, electronically steerable parasitic array radiator (ESPAR) [35], circular patch and printed dipole array structures [12]. For the ESPAR option, only simulation results are presented in [35], on the other hand in [12] the two technologies are tested over measured channels. The research on reconfigurable antennas is still a hot topic with many different techniques [36]- [38].…”

Section: Ofdm Systemsmentioning

confidence: 99%

Implementation aspects for interference alignment

Yetis

Anand

Kayran

et al. 2015

2015 IEEE International Conference on Digital Signal Processing (DSP)

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Several interference alignment (IA) testbeds have been reported by research groups that validate the theoretical findings thus demonstrating the feasibility of IA. The design complexity of the IA testbed is significant since many simultaneous wireless links have to be established to observe the benefits of IA. Therefore, the already enormous efforts needed for the development of multiple-input multiple-output (MIMO) testbeds are folded multiple times in IA testbeds. In general, testbeds can be categorized into three groups depending on the hardware platform, generic, specific and the hybrid of two. Clearly, developing on generic, hybrid and application specific platforms in turn are the safe steps towards real life prototyping. There are many research groups that have been developing IA on generic platforms [1]- [17]. To the best of our knowledge, there is only one research group that has developed on a hybrid platform [18], and none on the application specific platform. In this paper, we review the experimental IA evaluations in the literature, include important aspects from well-known prototyping principles in the picture, and give comparative discussion with the state-of-art wireless communications testbeds.

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Impact of pattern reconfigurable antennas on Interference Alignment over measured channels

Cited by 11 publications

References 15 publications

Online Learning for Spectrum Sensing and Reconfigurable Antenna Control

Online Learning for Spectrum Sensing and Reconfigurable Antenna Control

Experimental evaluation of interference alignment for broadband WLAN systems

Implementation aspects for interference alignment

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