Sell Your Projects | My Account | Careers | This email address is being protected from spambots. You need JavaScript enabled to view it. | Call: +91 9573777164

Distributed Optimization of a Multisubchannel Ad Hoc Cognitive Radio Network

1 1 1 1 1 Rating 4.89 (18 Votes)


Distributed Optimization of a Multisubchannel Ad Hoc Cognitive Radio Network


In this paper, we study the distributed-duality-based optimization of a multisubchannel ad hoc cognitive radio network (CRN) that coexists with a multicell primary radio network (PRN). For radio resource allocation in multiuser orthogonal frequency-division multiplexing (MU-OFDM) systems, the orthogonal-access-based exclusive subchannel assignment (ESA) technique has been a popular method, but it is suboptimal in ad hoc networks, because nonorthogonal access between multiple secondary-user links by using shared subchannel assignment (SSA) can bring a higher weighted sum rate. We utilize the Lagrangian dual composition tool and design low-complexity near-optimal SSA resource allocation methods, assuming practical discrete-rate modulation and that the CRN-to-PRN interference constraint has to strictly be satisfied. However, available SSA methods for CRNs are either suboptimal or involve high complexity and suffer from slow convergence. To address this problem, we design fast-convergence SSA duality schemes and introduce several novel methods to increase the speed of convergence and to satisfy various system constraints with low complexity. For practical implementation in ad hoc CRNs, we design distributed-duality schemes that involve only a small number of CRN local information exchanges for dual update. The effects of many system parameters are presented through simulation results, which show that the near-optimal SSA duality scheme can perform significantly better than the suboptimal ESA duality and SSA–iterative waterfilling schemes and that the performance loss of the distributed schemes is small, compared with their centralized counterparts.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

Distributed Optimization of a Multisubchannel Ad Hoc Cognitive Radio Network - 4.9 out of 5 based on 18 votes

Project EnquiryLatest Ready Available Academic Live Projects in affordable prices

Included complete project review wise documentation with project explanation videos and Much More...