Joint Power Allocation and Beam Forming for Energy-Efficient Multi-Way Multi-Antenna Relay Networks

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2018 by IJCTT Journal
Volume-60 Number-2
Year of Publication : 2018
Authors : L.K.Wiseling lazarus, Dr.P.Venkadesh, J.P.Jayan
DOI :  10.14445/22312803/IJCTT-V60P117

MLA

L.K.Wiseling lazarus, Dr.P.Venkadesh, J.P.Jayan "Joint Power Allocation and Beam Forming for Energy-Efficient Multi-Way Multi-Antenna Relay Networks". International Journal of Computer Trends and Technology (IJCTT) V60(2):111-114 June 2018. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract
The joint design of user power allocation and relay beamforming in relaying communications, in which multiple pairs of single-antenna users exchange information with each other via multiple-antenna relays in two time slots. All users transmit their signals to the relays in the first time slot while the relays broadcast the beamformed signals to all users in the second time slot. The aim is to maximize the system’s energy efficiency (EE) subject to quality-of-service (QoS) constraints in terms of exchange throughput requirements. The multi-way relaying strategy consists of one multiple access phase and multiple broadcast phases. We jointly design relay beamforming matrices and users’ linear processing receivers in the broadcast phases to maximize the minimum signal-to-interference-and-noise ratio (SINR) under the relay power budget. the MRC receiver leads to a local maximum for the original joint optimization problem, while the ZF receiver has the computational advantage with a lower complexity.

Reference
[1] Successive Convex Quadratic Programming for Quality-of-Service Management in Full-Duplex MU-MIMO Multicell Networks by H. H. M. Tam, H. D. Tuan and D. T. Ngo, 2016.
[2] Energy Efficiency in Wireless Networks via Fractional Programming Theory by Alessio Zappone and Eduard Jorswieck , 2016.
[3] The Capacity Region of Multiway Relay Channels Over Finite Fields With Full Data Exchange by Sarah J. Johnson, and Christopher M. Kellett,2016.
[4] Joint Load Balancing and Interference Management for Small-Cell Heterogeneous Networks with Limited Backhaul Capacity by Trung Q. Duong and H. Vincent Poor, 2017.
[5] Unicast Multi-Antenna Relay Beamforming With Per-Antenna Power Control: Optimization and Duality by Ben Liang and Qiang Xiao, 2017.
[6] Grassmannian Beamforming for MIMO Amplify-and-Forward Relaying by Behrouz Khoshnevis and Raviraj Adve, 2017.
[7] Joint Receive-Transmit Beamforming for Multi-Antenna Relaying Schemes by Shahram Shahbazpanahi, and Ali Grami, 2016.
[8] Multi-antenna Relay Network Beamforming Design for Multiuser Peer-to-Peer Communications by Jiangwei Chen and Min Dong, 2017.
[9] Distributed Beamforming for Multi-Group Multicasting Relay Networks by Marius Pesavento and Alex B. Gershman, 2016.
[10] Multicast Relay Beamforming through Dual Approach by Min Dong and Ben Liang, 2017.

Keywords
Energy Efficiency, Multiple antenna, MRC receiver, ZF efficiency