Optimal Scheduling and Power Allocation in Cooperate-to-Join Cognitive Radio Networks

Abstract

In this paper, optimal resource allocation policies are characterized for wireless cognitive networks under the spectrum leasing model. We propose cooperative schemes in which secondary users share the time-slot with primary users in return for cooperation. Cooperation is feasible only if the primary system's performance is improved over the non-cooperative case. First, we investigate a scheduling problem where secondary users are interested in immediate rewards. Here, we consider both infinite and finite backlog cases. Then, we formulate another problem where the secondary users are guaranteed a portion of the primary utility, on a long-term basis, in return for cooperation. Finally, we present a power allocation problem where the goal is to maximize the expected net benefit defined as utility minus cost of energy. Our proposed scheduling policies are shown to outperform non-cooperative scheduling policies, in terms of expected utility and net benefit, for a given set of feasible constraints. Based on Lyapunov optimization techniques, we show that our schemes are arbitrarily close to the optimal performance at the price of reduced convergence rate.

QoS multicast routing protocol oriented to cognitive network using competitive coevolutionary algorithm

“…Then a few scheduling and resource allocation algorithms are proposed to minimize the average packet delay of the secondary user and find the optimal assignment of the secondary users to the primary channels. In [14], the model assumes that secondary users can transmit if they can improve the performance of a primary user via cooperation. Two different reward strategies are studied for the secondary users, i.e., immediate reward and long-term reward.…”

Successful transmission probability of cognitive device-to-device communications underlaying cellular networks in the presence of hardware impairments

“…There have been a number of works on regarding CRNs, where EH were mentioned in [14][15][16][17]. In [14], a dualhop multi-user underlay CRN was examined by using DF scheme and opportunistic scheduling at the destination nodes, where co-channel interference signals were carefully considered for the system design.…”

“…A multi-antenna cognitive DF was investigated in terms of outage probability, in which the co-existence of secondary source and relay with the primary user (PU) can be maintained in case interference signals affecting PU are below a certain threshold [15]. Besides that, [16] focused on optimal resource allocation policies for CRNs under the spectrum leasing model and putting forward cooperative schemes, in which the time-slot is shared between primary users and secondary users for cooperation. In [17], a hybrid CRN with overlay and underlay models was considered, where a primary link gives the secondary users fractions of its transmission time for cooperation under outage constraints of both primary and secondary networks.…”

Radio Resource Allocation for OFDM-Based Dynamic Spectrum Sharing: Duality Gap and Time Averaging

“…The authors of [25] focused on chanceconstrained techniques to deal with CSI uncertainty. Benefits of cooperative communications for boosting the performance of RRA in cognitive radio systems were investigated in [26]- [29]. High performance can be advertised as a compelling incentive for the secondary services to cooperate with the primary service in relaying parts of the primary service's traffic.…”

“…Energy-efficiency was scrutinized in [30], helping the recent industrial and academic researchers reduce energy expenditure of the information and communication technology sector. The energy-utility tradeoff for optimal power control and scheduling was also the focus in [26]. Utility maximization in multi-cell cognitive radio networks was studied in [31], and efficient scheduling and power allocation schemes were proposed.…”