Fernando Domene, Sandra Roger, Carla Ramiro, Gema Pinero, Alberto Gonzalez
In this paper, we focus on the signal precoding stage in multiuser multicarrier systems, which can be often a computationally expensive task. In order to reduce their computational time, the implementation of some of the most employed multiuser precoding algorithms on a general purpose Graphic Processing Unit (GPU) is presented. These devices allow for a […]
Sandra Roger, Carla Ramiro, Alberto Gonzalez, Vicenc Almenar, Antonio M. Vidal
The use of Graphic Processing Units (GPU) for the efficient implementation of signal processing algorithms for MIMO communication systems is receiving incremental attention recently. This is mainly due to their high capability of parallel processing together with their reasonable cost. In this work, the interest of GPU for the rapid prototyping of MIMO receivers is […]
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Michael Wu, Bei Yin, Joseph R. Cavallaro
This paper proposes a flexible Multiple-Input Multiple-Output (MIMO) detector on graphics processing units (GPU). MIMO detection is a key technology in broadband wireless system such as LTE,WiMAX, and 802.11n. Existing detectors either use costly sorting for better performance or sacrifice sorting for higher throughput. To achieve good performance with high thoughput, our detector runs multiple […]
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Jose Vieira
Long Term Evolution (LTE) is the latest standard for cellular mobile communication. To fully exploit the available spectrum, LTE utilizes feedback. Since the radio channel is varying in time, the feedback calculation is latency sensitive. In our upcoming LTE measurement with the Vienna Multiple Input Multiple Output (MIMO) Testbed, a low latency feedback calculation is […]
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Wang Hongyuan, Chen Muyi
Graphic Processing Units (GPUs) is a low-cost parallel programmable co-processor that can deliver extremely high computation throughput and is well suited for large-scale system design and simulation. In this paper, we utilize the parallel processing power of GPU to accelerate the simulation of MIMO systems. In our work, flat fading channel is considered and an […]
Muhammad S. Khairy, Christian Mehlfuhrer, Markus Rupp
Graphic Processing Units (GPUs) have evolved to provide a massive computational power. In contrast to Central Processing Units, GPUs are so-called many-core processors with hundreds of cores capable of running thousands of threads in parallel. This parallel processing power can accelerate the simulation of communication systems. In this work, we utilize NVIDIA’s Compute Unified Device […]
Michael Wu, Siddharth Gupta, Yang Sun, Joseph R. Cavallaro
Multiple-input multiple-output (MIMO) is an existing technique that can significantly increase throughput of the system by employing multiple antennas at the transmitter and the receiver. Realizing maximum benefit from this technique requires computationally intensive detectors which poses significant challenges to receiver design. Furthermore, a flexible detector or multiple detectors are needed to handle different configurations. […]
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Michael Wu, Yang Sun, Joseph R. Cavallaro
In a high performance multiple-input multiple-output (MIMO) system, a soft output MIMO detector combined with a channel decoder is often used at the receiver to maximize performance gain. Graphic processor unit (GPU) is a low-cost parallel programmable co-processor that can deliver extremely high computation throughput and is well suited for signal processing applications. We propose […]
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Michael Wu, Yang Sun, Siddharth Gupta, Joseph Cavallaro
Multiple-input multiple-output (MIMO) significantly increases the throughput of a communication system by employing multiple antennas at the transmitter and the receiver. To extract maximum performance from a MIMO system, a computationally intensive search based detector is needed. To meet the challenge of MIMO detection, typical suboptimal MIMO detectors are ASIC or FPGA designs. We aim […]
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