Environment-Adaptable Efficient Optimization for Programming of Reconfigurable Radio Frequency (RF) Receivers
Minhee Jun, Rohit Negi, Jun Tao, Ying-Chih Wang, Shihui Yin, Tamal Mukherjee, Xin Li, Larry Pileggi
Abstract
Minhee Jun, Rohit Negi, Jun Tao, Ying-Chih Wang, Shihui Yin, Tamal Mukherjee, Xin Li, Larry Pileggi
Abstract
Software defined radio has been developed for supporting multi-standard radio receivers, but remains vulnerable to interference. In order to overcome this interference challenge, this paper proposes replacing the fixed wide-band Radio Frequency (RF) front-end in software radio receivers with a reconfigurable RF front-end. We show that a software radio with an optimally chosen reconfigurable RF front-end outperforms fixed RF software radios, when the latter suffers from inter-modulation of blockers caused by non-linearity of its RF front-end. Moreover, we propose a fast optimization algorithm for selecting an optimal configuration of the reconfigurable RF front-end in radio environments with interference. This algorithm selects from among the available configurations of the RF front-end, and improves SINR by adapting to the blockers present, while requiring only a small number of trials to select the appropriate configuration. Thus, a reconfigurable RF front-end, when used in conjunction with a software radio, can effectively realize the development of multi-standard wireless communication systems.
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Software defined radio has been developed for supporting multi-standard radio receivers, but remains vulnerable to interference. In order to overcome this interference challenge, this paper proposes replacing the fixed wide-band Radio Frequency (RF) front-end in software radio receivers with a reconfigurable RF front-end. We show that a software radio with an optimally chosen reconfigurable RF front-end outperforms fixed RF software radios, when the latter suffers from inter-modulation of blockers caused by non-linearity of its RF front-end. Moreover, we propose a fast optimization algorithm for selecting an optimal configuration of the reconfigurable RF front-end in radio environments with interference. This algorithm selects from among the available configurations of the RF front-end, and improves SINR by adapting to the blockers present, while requiring only a small number of trials to select the appropriate configuration. Thus, a reconfigurable RF front-end, when used in conjunction with a software radio, can effectively realize the development of multi-standard wireless communication systems.
Key concepts: Software-defined radio, RF front end, Radio frequency, Computer science, Cognitive radio, Interference (communication), Wireless, Remote radio head