Copyright © 2018 Authors. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. International Journal of Engineering & Technology, 7 (2.7) (2018) 69-76 International Journal of Engineering & Technology Website: www.sciencepubco.com/index.php/IJET Research Paper Suboptimal resource allocation scheme for scalable video multicast in integrated mobile WiMAX/WLANs network Wankhede Vishal A. 1* , Anant R. More 2 , M.S.G. Prasad 3 1 Professor, E & TC, SNJBs K.B. Jain CoE, Chandwad , Nashik, India & Research Supervisor, KL University, A.P. India 2 Ph.D. Scholar, K.L. University, A.P. India 3 Professor, ECE, KKR Institute of Technology & Sciences, Guntur, India & Research Supervisor, KL University, A.P. India *Email: Wankhedeva@gmail.com Abstract The goal of Resource Allocation Scheme (RAS) is to accomplish maximum usage of resources, assures Quality of Service (QoS), exploit throughput and diminish power consumption with viable algorithm complexity and scalability of system. RA algorithm for dynamic RAS in downlink Mobile WiMAX is to maximize the minimum rate of user while satisfying power constraint. This study emphasizes on scalable video transmission in Downlink Mobile WiMax BS with 5 WLAN’s each comprised of 10 users with different QoS requirements. Convex optimization techniques in scheduling algorithms marginally improve the performance measure as compared to traditional iterative non-linear methods. This study proposes Active-Set optimization technique for power allocation (PA) amongst sub- carrier per Subscriber Station (SS) and Greedy Weighted Algorithm (GWA) for sub-carrier allocation. Finally simulation results show that the proposed GWA and Active-Set optimization technique can effectively achieve maximum network throughput and number of satisfied users. Keywords: Active-Set optimization, Greedy Weighted Algorithm, Mobile WiMAX, multicast, resource allocation, scalable video coding (SVC). 1. Introduction WiMAX can provide data rates of 75Mbps, 350Mbps for single and multiple channels respectively [6] [7]. Bandwidth Allocation Algorithm have been designed for efficient utilization of scares radio resources [1], [2], [3], [10], [14] in order to meet the large scale wireless network by sharing radio resources among multiple users. The load of resource obligation is placed on the base station to achieve effective spectrum utilization [1]. Orthogonal Frequency Division Multiple Access (OFDMA) has potential to reduce transmit power and flexible multiple access technique that can accommodate many users with QoS requirements with variation in data rates [1], [11], [12], [13]. Subcarriers and PA to subscriber in mobile WiMAX system has been area of active research [26], [27]. WiMAX network was proposed to meet the demands of both WiMAX service providers and subscribers [3], [9], [15], [24] in downlink resource management frame of multi-user. RAS is crucial in handling heterogeneous traffic load in a WiMAX network [8], [26], [27]. Despite of standard physical layer specification for IEEE 802.16e air interface remains open issue. Hence this open issue motivated us to design and propose novel downlink resource management framework for integrated mobile WiMAX and WLAN for efficient allocation of two key resources i) Determination of aggregated downlink data rate if each subscribers within WLAN with optimized radio power and ii) Accessing bandwidth assigned on different subscribers local network application. Researchers have presented numerous RAS proposed in [10], [12], [13], [15], [16], [17], [19], [20], [24], [26] for data unicast in IEEE 802.16e networks. These algorithms allocate resource with different performance objective like low complexity [15], [17], [26] through put maximization [15], [26], [27] and number of satisfied users [27]. This study makes thorough investigation by designing a novel subcarrier allocation algorithm to provide a solution for subcarrier allocation and PA problem of data like video multicast in integrated IEEE 802.16/WLAN network. The proposed algorithm targets to maximize channel capacity, maximize data rate for each subscriber, maximize network through put, and maximize number of satisfied users under the constraint of bandwidth. Maximization problems of network performance are Non deterministic Polynomial (NP) hard [16], [17], [19], [27]. The projected algorithms decipher NP hard problems using Active Set algorithm which is convex to find sub- optimal solutions in polynomial time. In proposed algorithm an Active Set method. This approach reduces the computational complexity as it is achieved using approaches used in [15], [16], [17], [20], [28], [29], [30], [31]. This paper proposed following main contributions: 1. Propose GWA for sub-carrier allocation amongst various Subscriber Stations (SS). 2. Propose Active-Set optimization for RAS to maximize data rate of individual subscriber and at the end network throughput for PHY layer specifically. 3. Integrate proposed algorithm for WiMAX/WLAN network as system model.