Multi-hop Relaying with Optimal Decode-and-Forward Transmission Rate and Self-Immunity to Mutual Interference among Wireless Nodes

Abstract-In this paper we show that multi-hop relaying with immunity to mutual interference among relays can be realized in multi-hop ad hoc wireless networks with full-duplex decodeand-forward relays that exploit appropriate packet encoding and successive interference cancellation. This resolves fundamentally the mutual interference challenge involved in multi-hop wireless network research. Based on this interference immune phenomenon, a relay selection algorithm is developed to find the optimal hop count and the optimal relays that maximize sourcedestination decode-and-forward transmission rate. The algorithm constructs the optimal multi-hop paths from a source node to all other network nodes simultaneously with a quadratic complexity O(N 2 ), where N is the network size. This algorithm is efficient for wireless networks with arbitrary size, including extremely large sizes, and can potentially play a fundamental role in exploring multi-hop wireless networks. Surprisingly, this wireless networking algorithm is similar to the well-known Djikstra's algorithm of wired networks. Simulations are conducted to demonstrate the efficiency and the superior performance of the new algorithm

Multi-Objective Cross-Layer Optimization for Selection of Cooperative Path Pairs in Multihop Wireless Ad hoc Networks

This paper focuses in the selection of an optimal path pair for cooperative diversity based on cross-layer optimization in multihop wireless ad hoc networks. Cross-layer performance indicators, including power consumption, signal-to-noise ratio, and load variance are optimized using multi-objective optimization (MOO) with Pareto method. Consequently, optimization can be performed simultaneously to obtain a compromise among three resources over all possible path pairs. The Pareto method is further compared to the scalarization method in achieving fairness to each resource. We examine the statistics of power consumption, SNR, and load variance for both methods through simulations. In addition, the complexity of the optimization of both methods is evaluated based on the required computing time