In this paper, we focus on the networking-theoretic multicast capacity for both random extended networks (REN) and random dense networks (RDN) under Gaussian Channel model, when all nodes are individually power-constrained. During the transmission, the power decays along path with the attenuation exponent α> 2. In REN and RDN, n nodes are randomly distributed in the square region with side-length √ n and 1, respectively. We randomly choose ns nodes as the sources of multicast sessions, and for each source v, we pick uniformly at random nd nodes as the destination nodes. Based on percolation theory, we propose multicast schemes and analyze the achievable throughput by considering all possible values of ns and nd .A s a special case of our results, we show that for ns =Θ ( n) ,t he per-session multicast capacity of RDN is Θ( 1 √ ndn ) when nd = O( n (log n)3 ) and is Θ(
['Cheng Wang', 'Xiang Yang Li', 'Changjun Jiang', 'Shaojie Tang', 'Yunhao Liu', 'Jizhong Zhao']
Scaling Laws on Multicast Capacity of Large Scale Wireless Networks