Beamforming for interference mitigation and its implementation on an SDR baseband processor

Krdu, Adrian Jonel; Lebrun, Yann; Ahmad, Ubaid; Pollin, Sofie; Agrawal, Prashant; Li, Min

doi:10.1109/sips.2011.6088973

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…Similarly, the authors in present the validation of a cognitive system that combines realistic RF measurements with a partial real‐time PHY‐layer implementation. The design and real‐time implementation of a distributed beamforming algorithm for interference mitigation in LTE systems is described in . The fixed‐point implementation, optimised for a coarse‐grain reconfigurable (CGR) baseband processing architecture, is evaluated by means of computer‐based simulations.…”

Section: Review Of the Related Literaturementioning

confidence: 99%

Interference management in LTE‐based HetNets: a practical approach

Font-Bach

Bartzoudis

Pascual‐Iserte

et al. 2014

Trans. Emerging Tel. Tech.

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Interference is a major obstacle in radio communications, especially when opportunistic frequency reuse is an inherent requirement for maximizing spectral efficiency in heterogeneous networks. A typical example is encountered in cellular communications where macro cell-edge users receive interference from small cell transmissions that use the same radio frequency band. Innovating interference management algorithms are employed towards this end, which due to their interdependencies with numerous parameters of the target operating scenario and various low-level implementation aspects, need to be prototyped in real-time signal processing platforms in order to be credibly verified. In this paper, we present the development and experimental validation of a macro/femto cell coexistence scenario in close to reallife conditions. The inclusion of an agile interference management scheme increased the signal processing complexity at the physical layer. This overhead was appropriately addressed by engaging advanced parallel processing techniques, optimizations of the arithmetic operations and intelligent reuse of logic and memory resources in the FPGA-based baseband processing architecture.

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Section: Review Of the Related Literaturementioning

confidence: 99%

Interference management in LTE‐based HetNets: a practical approach

Font-Bach

Bartzoudis

Pascual‐Iserte

et al. 2014

Trans. Emerging Tel. Tech.

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“…However, the encountered cases in the literature typically report limited laboratory validation results of the proposed cognitive radio functionalities [11], [12]. Another common situation is that of partial system implementations (i.e., behavioural HDL simulations or FPGA-synthesis results), such as the one presented in [13], where it is described the design and real-time implementation of a distributed beamforming algorithm for interference mitigation in LTE systems. Custom real-time implementations of the PHY-layer allow to overcome all the limitations described before at the expense of a rather longer development time.…”

Section: Overview Of the Related Literaturementioning

confidence: 99%

Measuring the performance of a distributed interference management scheme in a LTE-based HetNet deployment

Font-Bach¹,

Bartzoudis²,

Payaró³

et al. 2014

2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)

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This paper presents the experimental evaluation of an interference- mitigation scheme tailored for heterogeneous multi-cell LTE-based systems. The real-time FPGA-based system implementation was evaluated under realistic operating conditions using the GEDOMIS® testbed. An intensive measurement campaign was conducted to assess the performance-gains of the proposed scheme, considering mobile channels and various levels of noise and interference.Peer ReviewedPostprint (published version

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Performance Evaluation of LMS and CM Algorithms for Beamforming

Atzemourt

Farchi

Chihab

et al. 2022

Advances in Materials Science and Engineering

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In this paper, we compare the performances of the least mean square (LMS) and constant modulus (CM) algorithms for beamforming. Our interest in these algorithms finds its origins in their reliability as a source-receiver pair. In addition, their use brings a great frequency of diversity even to respond quickly to the increasing spectral demand. The results suggest that the greater the number of elements in the antenna, the better the directivity for both LMS and CM. We also note that a judicious choice of the control parameter mu leads to a better speed of convergence for the two algorithms. Let us note, however, that LMS is more efficient. Our simulations show that in an environment affected by white Gaussian noise, LMS is more robust than CM. This confirms the theoretical result due to the fact that LMS uses a sequence for learning. Performance analyses of the two techniques are simulated in the MATLAB environment.

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Beamforming for interference mitigation and its implementation on an SDR baseband processor

Cited by 3 publications

References 12 publications

Interference management in LTE‐based HetNets: a practical approach

Interference management in LTE‐based HetNets: a practical approach

Measuring the performance of a distributed interference management scheme in a LTE-based HetNet deployment

Performance Evaluation of LMS and CM Algorithms for Beamforming

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