The heterogeneous smart grid (SG) poses two major challenges for wireless networks, namely, providing sufficient bandwidth for a wide variety of applications and high reliability for critical real-time applications. To address these challenges, the impact of communication outage on the demand response management as a typical SG application is analyzed in this paper. A dynamic spectrum management (DSM) technique is proposed to allocate resources, considering the QoS and application priorities. Vacant digital TV frequency bands are utilized to support SG applications. An algorithm to estimate the SG capacity is introduced, which can be applied to various user distributions and SG environments. This is used in conjunction with a low-complexity coloring theory algorithm to allocate the spectrum. The results presented show that DSM provides better performance than traditional fixed spectrum management, in terms of QoS and secondary spectrum utilization.

This paper considers a heterogeneous communication network consisting of a Smart Grid Neighborhood Area Network (SG-NAN) and a Digital Video Broadcasting (DVB) system. A Dynamic Spectrum Management (DSM) technique is proposed for this network to allocate resources to the SG-NAN and DVB systems to satisfy SG-NAN QoS requirements while limiting interference to the DVB system. A novel algorithm for estimating SG-NAN capacity is introduced which can be applied to various user distributions and hybrid service situations. The DVB capacity is also calculated under interference constraints. Based on these capacities, spectrum is allocated using a coloring theory algorithm to reduce the complexity. Simulation results are presented which show that DSM provides better performance than traditional fixed spectrum management (FSM) in terms of QoS and secondary spectrum utilization.

Efficient spectrum utilization is of great importance in cognitive networks, however current spectrum sharing techniques in the temporal or spatial domains all have deficiencies. In this paper, we propose a joint spatial and temporal spectrum sharing scheme based on the concept of regions. We define four regions, namely a primary exclusive region (PER), a temporal spectrum sharing region (T-SSR), a joint spectrum sharing region (J-SSR), and a spatial spectrum sharing region (S-SSR). TSSR and J-SSR are proposed to utilize temporal spectrum holes which have not previously been exploited. Cooperative spectrum sensing is employed to expand the J-SSR, which is beneficial for system design. Closed-form bounds for the four regions are obtained, and conditions on T-SSR existence and the presence of a transition zone between the JSSR and S-SSR are determined. Both analytical and simulation results are presented which show how the key factors, including primary user interference constraints, spectrum sensing factors, and secondary user coverage constraints, influence these bounds. This has great practical value in improving spectrum efficiency in cognitive networks.

This paper proposes a novel Dynamic Spectrum Management (DSM) scheme for Wideband Code Division Multiple Access (WCDMA) / Digital Video Broadcasting (DVB) heterogeneous systems. Capacity estimation algorithms for both WCDMA and DVB are developed which consider both the user distribution and characteristics of the hybrid services. Based on these algorithms, a new dynamic spectrum allocation scheme is presented which allows for optimum allocation of resources and maximum secondary spectrum usage. Coloring theory is used to significantly reduce DSM complexity while providing near-optimal performance. Numerical results are given which show that the proposed DSM scheme has better performance than Fixed Spectrum Management (FSM).

In this paper, a new technique for dynamic spectrum management of a Wideband Code Division Multiple Access (WCDMA)/Digital Video Broadcasting (DVB) heterogeneous system is introduced. The solution is obtained using coloring theory, and significantly reduces the complexity of spectrum management.