Resource allocation and relay selection in full-duplex cooperative orthogonal frequency division multiple access networks. (July 2017)

• Record Type: Journal Article
• Authors: Banar, Jafar; Mohammad Razavizadeh, S.
• Is Part Of: Computers & electrical engineering. Volume 61(2017)
• Page Start: 223
• Page End: 234
• Publication Date: 2017-07
• Subjects: In-band full-duplex (IBFD) -- Orthogonal frequency division multiple access (OFDMA) -- Cooperative networks -- Resource allocation -- Relay selection -- Quality of service (QoS) -- Amplify and forward (AF) -- Convex optimization; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2017.01.019
• Languages: English
• ISSNs: 0045-7906

Abstract

Highlights: Average sum-rate maximization in uplink of an in-band full-duplex OFDMA cooperative cellular network is proposed. The optimization problem relies on the relay selection schemes and power and subcarrier allocation. It is illustrated that the shortest total distance relay selection scheme has the best performance in comparison with others. Graphical abstract: Abstract: This paper is on relay selection in uplink of an in-band full-duplex (IBFD) cooperative cellular network. Assuming an orthogonal frequency division multiple access (OFDMA) cellular network, we develop a relay selection and resource allocation algorithm for this network. The relay selection algorithms select the best relay based on distance between users and signal to interference plus noise ratio (SINR) that operate in amplify and forward (AF) mode. The optimization problem allocates the optimum subcarriers and powers to all users to maximize the average sum-rate of the network. In addition, the constraints of the optimization problem are quality of service (QoS) and transmit power of each user. Simulation results illustrate the good performance of the proposed method.