Robust Cross-Layer Routing and Radio Resource Allocation in Massive Multiple Antenna and OFDMA-Based Wireless Ad-Hoc Networks

• Published in: IEEE access Vol. 7; pp. 36527 - 36539
• Main Authors: Kordbacheh, Hamid, Dalili Oskouei, Hamid, Mokari, Nader
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Ad hoc networks; Antennas; Approximation; Computational geometry; Convexity; cross-layer design; Data communication; Frequency division multiple access; imperfect CSI; Linear matrix inequalities; Massive multiple-input multiple-output; Mathematical analysis; Mathematical programming; MIMO communication; Optimization; Orthogonal Frequency Division Multiplexing; Radio; Relays; Resource allocation; Resource management; robust resource allocation; Robustness; Route selection; Routing; Schedules; Search algorithms; Software; Wireless communication; Wireless networks
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2019.2904673

In this paper, we propose a novel robust cross-layer routing and radio resource allocation algorithm in the case of massive multiple antenna and orthogonal frequency division multiple access (OFDMA)-based wireless ad-hoc networks. Our main objective is to determine the data routes, sub-carrier schedules, and power allocations that maximize throughput of the data communication subject to the transmit power, interference, routing, imperfect channel state information (CSI), and capacity constraints. Furthermore, we propose an iterative alternative search algorithm which optimizes the sub-carrier and power allocation alternatively routing in ad-hoc networks. Then, we use some approximation methods to convert non-convex constraints into linear matrix inequality (LMI) and second-order cone (SOC) constraints which are solved by convex optimization tools, such as MATLAB software for disciplined convex programming (CVX). Finally, we provide simulation results to show the performance of the proposed algorithms and validate our theoretical analysis. We also show that the proposed joint cross-layer routing and radio resource allocation has 26.5% performance gain compared to the disjoint solution.