Channel Allocation with MIMO in Cognitive Radio Network

Abstract

The bulk volume and diverse data generated by Smart grid applications require use of Cognitive Radio (CR) technology for efficient handling. The CR technology proved out to be the most efficient technology which improves spectral utilization of any wireless network. The work in this paper is on the assignment of spectrum to the secondary users when primary user are not using. The work uses hybrid of CR and MIMO technology with clustering of gate ways, the channel allocation is done by taking real time environment in consideration. In this paper, three assignment schemes are proposed fair (F-MIMO) scheme, priority (P-MIMO) scheme and small clusters (CC-MIMO). The F-MIMO is used in low traffic condition, when all the HGWs sends the periodic data. The P-MIMO instead of reserving channels for priority user’s places non priority users in buffer in conditions when no vacant channel is available for priority users, this scheme is used in moderate traffic conditions. For the high traffic load, CC-MIMO provides priority and also borrows channels from nearby gate ways. The simulations are performed in three clusters. The simulations are done under moderate traffic using P-MIMO to compare utility of gateway with sensing bandwidth using different sensing costs. The proposed three schemes are compared in fairness and user rewards in both scenarios when borrowing is allowed and not allowed. The CC-MIMO performed optimal as compared to F-MIMO and P-MIMO which are comparable to other schemes in literature. The number of channel allocations and maximum sum reward are simulated with respect to the number of users in presence of priority users.