New multiple‐input multiple‐output‐based filter bank multicarrier structure for cognitive radio networks

Performance enhancement and PAPR reduction for MIMO based QAM-FBMC systems

“…Each of the M complex valued QAM symbols is modulated by a pulse shaping filter, p [ i ]. According to Fig 1 , the transmit signal at the i th antenna is given as [ 3 ]: where D m , k represents the real or imaginary section of QAM data using mt h subcarrier and k th transmitted symbol, M represents the subcarriers number and d is the amount of delay that depends on pulse shaping filter length. In this context, we assume that p [ n − kM /2] is the same across all antennas.…”

“…In this study, B f is specifically derived using zero forcing with respect to the channel matrix H . Consequently, x f [ k ] is written as follows [ 3 , 17 ]: where is used to achieve maximum transmission power constraint and H -1 is the zero forcing BF matrix.…”

“…Then the transmitted signal matrix after PAPR reduction step is x f + R with size N × S . At the receiver side the received signal matrix with size N × S is written as [ 3 ]: where N r is the frequency-domain representation of noise matrix at receiver side.…”

Evaluation of cooperative spectrum sensing with filtered bank multi carrier utilized for detecting in cognitive radio network

“…The main contribution of this article is summarized below,This article proposes cooperative spectrum sensing (CSS) with filtered bank multi carrier (FBMC) 36,37 in cognitive radio network (CRN) for mitigating the interfering with proficient usage of bandwidth. In the proposed work, five primary users and one secondary user are utilized. The secondary user can occupy the slot only in the absence of primary user. During cooperative spectrum sensing with FBMC evaluation, it produces problem in hidden terminal, false alert and auxiliary client identification with effective radio spectrum sharing for the secondary users, which automatically reduces the channel capacity, energy efficiency, and channel interference. To overcome the issues, optimal red deer algorithm (ORDA) is used in FBMC weight parameters. The major objective of this article is to assess the radio spectrum efficiency can be enhanced using cooperative spectrum sensing with filter bank multicarrier (FBMC) utilized to develop the cognitive radio network's capacity. The proposed approach is executed in MATLAB site.…”

“…• This article proposes cooperative spectrum sensing (CSS) with filtered bank multi carrier (FBMC) 36,37 in cognitive radio network (CRN) for mitigating the interfering with proficient usage of bandwidth.…”