Stagewise and Basis Pursuit Algorithms for Pattern Division Multiple Access (PDMA) in 5G Communication Systems
| Autor: | Renu Jose, Kavya Vinod |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Underdetermined system
Computer science 020208 electrical & electronic engineering 020206 networking & telecommunications Basis pursuit 02 engineering and technology Spectral efficiency Communications system Matching pursuit Compressed sensing 0202 electrical engineering electronic engineering information engineering Bit error rate Algorithm Data transmission |
| Zdroj: | 2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). |
| Popis: | In this paper, the Compressed Sensing Algorithm based 5G technique called Pattern Division Multiple Access (PDMA) is proposed for communication systems. A resource group is defined using PDMA patterns in terms of either time or frequency for data transmission. Users sharing the same resources are differentiated by utilizing those set of patterns, and the patterns are designed with different sparsity so as to increase the overall performance by preserving the estimation complexity to a normal extent. In a field containing large number of users, the number of people taking part in transfer of messages is quite less. Hence considering those inactive users to be sparse, an underdetermined PDMA system utilizes the Compressed Sensing (CS) techniques such as Stagewise Orthogonal Matching Pursuit (StOMP) and Basis Pursuit (BP) Algorithm where the active locations are caught in order to estimate the message signal. Hence, an improved performance in terms of Spectral efficiency, bit error rate and uplink-downlink performance is obtained through StOMP algorithm. |
| Databáze: | OpenAIRE |
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