Throughput Maximization in MIMO Cognitive Radio Networks with SWIPT DF Relay and Imperfect CSI

نوع مقاله : علمی-پژوهشی

نویسندگان

Department of Electrical and Computer Engineering, Babol Noshirvani University of Technology, Babol, Iran.

چکیده

We address the throughput maximization problem for downlink transmission in DF-relay-assisted cognitive radio networks (CRNs) based on simultaneous wireless information and power transfer (SWIPT) capability. In this envisioned network, multiple-input multiple-output (MIMO) relay and secondary user (SU) equipment are designed to handle both radio frequency (RF) signal energy harvesting and SWIPT functional tasks. Additionally, the cognitive base station (CBS) communicates with the SU only via the MIMO relay. Based on the considered network model, several combined constraints of the main problem complicate the solution. Therefore, in this paper, we apply heuristic guidelines within the convex optimization framework to handle this complexity. First, consider the problem of maximizing throughput on both sides of the relay separately. Second, each side progresses to solve the complex problem optimally by adopting strategies for solving sub-problems. Finally, these optimal solutions are synthesized by proposing a heuristic iterative power allocation algorithm that satisfies the combinatorial constraints with short convergence times. The performance of the optimal proposed algorithm (OPA) is evaluated against benchmark algorithms via numerical results on optimality, convergence time, constraints’ compliance, and imperfect channel state information (CSI) on the CBS-PU link.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Throughput Maximization in MIMO Cognitive Radio Networks with SWIPT DF Relay and Imperfect CSI

نویسندگان [English]

  • M. Mohammadi
  • S. M. Hosseini Andargoli
Department of Electrical and Computer Engineering, Babol Noshirvani University of Technology, Babol, Iran.
چکیده [English]

We address the throughput maximization problem for downlink transmission in DF-relay-assisted cognitive radio networks (CRNs) based on simultaneous wireless information and power transfer (SWIPT) capability. In this envisioned network, multiple-input multiple-output (MIMO) relay and secondary user (SU) equipment are designed to handle both radio frequency (RF) signal energy harvesting and SWIPT functional tasks. Additionally, the cognitive base station (CBS) communicates with the SU only via the MIMO relay. Based on the considered network model, several combined constraints of the main problem complicate the solution. Therefore, in this paper, we apply heuristic guidelines within the convex optimization framework to handle this complexity. First, consider the problem of maximizing throughput on both sides of the relay separately. Second, each side progresses to solve the complex problem optimally by adopting strategies for solving sub-problems. Finally, these optimal solutions are synthesized by proposing a heuristic iterative power allocation algorithm that satisfies the combinatorial constraints with short convergence times. The performance of the optimal proposed algorithm (OPA) is evaluated against benchmark algorithms via numerical results on optimality, convergence time, constraints’ compliance, and imperfect channel state information (CSI) on the CBS-PU link.

کلیدواژه‌ها [English]

  • Throughput maximization
  • cognitive radio
  • DF relay
  • SWIPT
  • MIMO

مراجع

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مجله مهندسی برق دانشگاه تبریز
دوره 54، شماره 1 - شماره پیاپی 107
اردیبهشت 1403
صفحه 121-131

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