Fundamental Limits of Full-Duplex Spectrum Sharing under Peak Interference Power Constraint

In order to effectively solve the problem of spectrum shortage, cognitive radio (CR) and full-duplex (FD) have been proposed and widely studied in recent year. In this paper, we integrate CR and FD techniques, consider a FD spectrum sharing CR networks, where both secondary users (SU1 and SU2) are equipped with dual antennas, one of which is used to receive signals, and the other is used to transmit signals at the same time and frequency. Under peak interference power and peak transmit power constraints, we analysis the ergodic sum capacity and the outage probability based on the FD spectrum sharing CR networks and the conventional spectrum sharing CR networks. Furthermore, under no peak transmit power constrain and perfect self-interference cancellation (SIC), based on the FD spectrum sharing CR networks and the conventional spectrum sharing CR networks, the closed-form expressions of the theoretical upper bound of the ergodic sum capacity and the outage probability are derived by two lemmas and four propositions. Accurate mathematical analysis display, under the same bandwidth, the upper bound of the full-duplex spectrum sharing CR networks ergodic sum capacity is twice as much as the traditional spectrum sharing CR networks, and the FD spectrum sharing CR networks based on SU1, also has better upper bound performance on the outage probability than the traditional spectrum sharing CR networks. Simulations results validate that, the FD spectrum sharing CR networks obtains better communication performance than the conventional spectrum sharing CR networks, especially when the residual self-interference is small. Finally, we also can see that the simulation upper bound is completely consistent with the theoretical analysis upper bound, whether in the FD spectrum sharing CR networks or the conventional spectrum sharing CR networks. So also verifies the correctness of the theoretical upper bound derivation.

Impacts of Licensed Interference and Inaccurate Channel Information on Information Security in Spectrum Sharing Environment

Spectrum sharing environment creates cross-interference between licensed network and unlicensednetwork. Most existing works consider unlicensed interference (i.e., interference from unlicensed networkto licensed network) while ignoring licensed interference (i.e., interference from licensed networkto unlicensed network). Moreover, existing channel estimation algorithms cannot exactly estimate channelinformation. In this paper, impacts of licensed interference and inaccurate channel information oninformation security in the spectrum sharing environment is analyzed under peak transmit power bound,peak interference power bound, and Rayleigh fading. Toward this end, a secrecy outage probabilityformula is proposed in an exact form and validated by simulations. Various results illustrate that secrecyoutage probability is constant in a range of large peak interference powers or large peak transmit powers,and is severely affected by licensed interference and inaccurate channel information.