Abstract
The limited radio spectrum has become a bottleneck for various wireless communications. To better utilize the scare radio spectrum, cognitive radios have recently attracted increasing attention, which makes spectrum sharing more viable. Sharing radio spectrum from primary users to secondary users is of great importance. A licensed primary user (PU) can lease its spectrum to secondary users (SUs) for wireless communications. This paper studies the problem of social welfare maximization of distributed spectrum sharing among a PU and SUs. We first formulate the problem of social welfare maximization which takes into account both the cost of the PU and the utility gained by each SU. The social welfare maximization is a convex optimization problem and thus can be solved by a centralized algorithm. However, the utility function of each SU may contain the private information. To avoid privacy leakage of SUs, we propose an iterative distributed algorithm based on a pricing-based decomposition framework. It is theoretically proved that our algorithm converges to the optimal solution. Simulation results are presented to show that our algorithm achieves the optimal social welfare and converges quickly in a practical setting.
Highlights
With the increasing development of wireless communications, the scarcity of spectrum becomes more and more serious
Since the shared spectrum is priced by the primary user, we find that the optimal social welfare can be obtained when the optimal solution of an equivalent pricing problem is derived
We introduce the concept of social welfare, which is equal to the utilities gained by the secondary users minus the cost paid by the primary user, which is formulated in the following definition
Summary
With the increasing development of wireless communications, the scarcity of spectrum becomes more and more serious. To make better use of the limited radio spectrum resource, cognitive radios [4] are becoming popular. The spectrum utilization can be largely improved by sharing the allocated spectrum of a primary user (PU) with those of secondary users (SUs) when the radio spectrum is not in use. We consider the problem of sharing the allocated spectrum owned by a PU to a set of SUs. Essentially, we consider a cognitive radio network consisting of one PU, the licensed owner of spectrum, and several SUs without licenses. Each secondary user consists of a pair of nodes, a sender, and a receiver, which have the demand of transmitting data over a wireless channel. A cost is incurred from the primary user when allocating some radio spectrum to secondary users
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More From: International Journal of Distributed Sensor Networks
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