Open AccessEnergy‐Efficient Outage Capacity in Sensing‐Based Spectrum Sharing Cognitive Radio Networks
Author(s) -
YAN Feiyu,
ZHAO Jihong,
QU Hua,
XU Xiguang
Publication year - 2018
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2018.09.016
Subject(s) - cognitive radio , maximization , computer science , interference (communication) , transmitter power output , mathematical optimization , efficient energy use , power (physics) , metric (unit) , duality (order theory) , energy (signal processing) , dimension (graph theory) , spectrum (functional analysis) , throughput , topology (electrical circuits) , computer network , telecommunications , transmitter , mathematics , wireless , electrical engineering , physics , quantum mechanics , engineering , channel (broadcasting) , operations management , statistics , discrete mathematics , combinatorics , pure mathematics , economics
Energy efficiency (EE) is an important metric for a Cognitive radio network (CRN). We focus on the EE maximization problem in a sensing‐based spectrum sharing CRN for delay‐sensitive applications. With the aid of one‐dimension exhaustive search, fractional programming and Lagrange duality method, two energy‐efficient optimal sensing time and power allocation policies are derived with the consideration of Average/Peak transmit power (ATP/PTP) constraints and Average interference power (AIP) constraints, respectively. Simulation results show that the proposed policies can achieve higher EE compared to the conventional spectrum sharing schemes.