A Fair Location Based Radio Resource Allocation ...

A Fair Location Based Radio Resource Allocation (LBRRA): For WiMAX Network Rakesh Kumar Jha∗ and Upena D. Dalal SVNIT, Surat 395 007, India www.jharakeshnetworks.com, www.svnit.ac.in

∗ [email protected],

In this paper, we propose a fair resource allocation on the basis of LBRRA for WiMAX application. In first section proposed a location based architecture with IEEE standard parameters (802.16e) consideration in real background condition with three different types of services i.e. Video, Voice and Video. In second section observe the performance analysis of resource allocation on proposed architecture. Resource allocation is playing a very significant role for any type of networks because it will provide end user solution with minimum cost. In last section of this paper, observe the performance analysis for with different type of QoS (quality of service) class i.e. Gold, Silver and Bronze. Propose network has given idea about how different type of scheduling assigned i.e. B.E, UGS, rtps, nrtps with UL/DL with different type of modulation schemes. The simulation result has given a performance of different location with request B.W and admitted B.W. Proposed network analysis will cooperative for low cost deployment for 4G and NGN (Next Generation Network). Keywords:

WiMAX; LBBRA; NGN; QoS; Scheduling; UL/DL Resource Allocation.

1. Introduction The next generation networks (NGN) will be characterized by variable and high data rates, Quality of Services (QoS), seamless mobility both within a network and between networks of different technologies and service providers. The network technology developed to fulfill these requirements is standardized by IEEE, is 802.16, also referred to as WiMAX (Worldwide Interoperability for Microwave Access). This section proposes location based radio resource allocation (RRA) for WiMAX network i.e. to improve connection rejected by BS (Base Station) so that client can overcome both and also improve the QoS of the service in real time analysis for any location. Proposed work can apply in all types of location like hilly area, high traffic density area, medium traffic and ideal area. The Scope of this proposed work is to design a WiMAX Network to support a wide variety of applications. WiMAX defines five scheduling services in which all applications are supported. The performance analysis of a WiMAX network is done on the basis of Resource Allocations, from this analysis it shows that, how many packets are created in the network, how many packets are copied, how many packets are destroyed on each and every nodes with location based. The idea behind this result can help to improve or analyze with better understanding of any networks. This subnet is placed at Surat District (Gujarat – India); in this subnet there are three (3) WiMAX cells. According to IEEE 802.16 standards the cell radius of one Base Station (BS) is 50 kms theoretically and 30 kms practically, in our case we kept the cell radius to 15 kms so that the distance from one BS to another BS is 30 kms.

2. Simulation Parameter The parameters involved in simulation are shown in Table 1, Table 2 and Table 3. ∗ Corresponding author.

Tel.: +919906088419. E-mail address: [email protected]. © 2012 Elsevier India Pvt. Ltd.

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Antennas & Networking

Figure 1. WiMAX Subnet of WiMAX Network Table 1. Parameters for LBRRA Network for WiMAX Network.

3. Result Analysis In this network model the performance analysis of WiMAX network is done on the basis of Location Based Radio Resource Allocation (LBRRA). The Resources are allocated on the account of total Uplink (UL) capacity, total Downlink (DL) capacity, number of Admitted Connections and number of Rejected Connections for a particular Base Station (BS). At Base Station 1 (BS1) in the network of figure 1, the Resources which are allocated are shown in Table 4. 264

A Fair Location Based Radio Resource Allocation (LBRRA): For WiMAX Network Table 2. WiMAX Base Station Attributes.

Table 3. Profile Configuration.

Table 4. Admission Control Statistics at Base Station 1 (BS1).

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Table 5. Admitted Connections at Base Station 1 (BS1).

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A Fair Location Based Radio Resource Allocation (LBRRA): For WiMAX Network Table 6. Rejected Connections at Base Station 1 (BS1).

Table 7. Admission Control Statistics at Base Station 2 (BS2).

From the figure we can see that the total Capacity of Base Station 1 (BS1) is 12.7104 Msps, out of which 2.6304 Msps is Uplink Capacity and 10.08 Msps is Downlink Capacity. Also the numbers of Admitted Connections at the Base Station 1 (BS1) are 62, and the Rejected Connections are 19. These Connections indicate the Scheduling services which are served by the Base Stations (BS). In this network three scheduling services are defined (i.e. GOLD, SILVER and BRONZE), each Subscriber Station (SS) consists 6 WiMAX connection, 3 Uplink (UL) and 3 Downlink (DL) Connections, for each service classes. Base Station 1 (BS1) serves 12 WiMAX clients; hence the total number of connection at Base Station 1 (BS1) due to Subscriber Station (SS) is 72, there are also other connections present due to System Default, Broadcast, etc. The Admitted Connections are shown in Table 2 and the Rejected Connections are shown in Table 5 by BS1. Similarly, in cell 2, the number of Subscriber Stations (SS) are 6, thus the total connections are 36. The Admission Control Statistics, the Number of Admitted Connections and the Number of Rejected Connections at Base Station 2 (BS2) are shown in Table 7. 267


Table 8. Admitted Connections at Base Station 2 (BS2).

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A Fair Location Based Radio Resource Allocation (LBRRA): For WiMAX Network

Table 9. Rejected Connections at Base Station 2 (BS2).

The detail analysis of above result of sector 2 BS has been mentioned in Table 8 and Table 9. Correspondingly, in Cell 3 described, the number of Subscriber Stations (SSs) is 9. The total number of connections due to Subscriber Stations (SSs) is 54; the rest are due to system default and broadcast connections. Admission Control Statistics is shown in figure 2. The Admitted and Rejected Connections at Base Station 3 (BS3) is 63 and 18 respectively. These connections are shown in figure 2. An exact analysis has been given for location based resource allocation for WiMAX network. Result has given clear idea about the performance with different application with QoS in terms of how many connections 269


Figure 2. Admission ontrol statistics at base station 3 (BS3)

have been rejected for designed or for proposed model. Mostly the connection has been rejected at all the Base Stations (BSs) in Uplink (UL) with the service class of GOLD with scheduling type of UGS is accomplished. These rejected connections happen due to ARQ parameters on UGS scheduling scheme. Automatic Repeat Request (ARQ) can be enabled only on rtPS, nrtPS and BE flows. 4. Conclusion Resource allocation has been rolling in the last few years for NGN. NSP (Network Service provider) have first and most tasks are they will provide good QoS for end user with low cost. Since most of the investment by any NSP to develop the infrastructure and if they will do the survey on the basis of above proposed analysis it can help to reduce the cost somehow. This paper analysis also help to find how best QoS can achieved with different type of service class for all three type of application i.e. Voice, Video and Data. 5. Future Scope Resource allocation can be done on the basis of Adaptive algorithm at BS like Genetic Algorithm, Active Set algorithm and statistical model approach like HMM Model. 6. Acknowledgements I am really thankful to my guide Dr Upena D Dalal and my department ECED, NIT, Surat, India. References [1] G. Nair, J. Chou, T. Madejski, K. Perycz, D. Putzolu and J. Sydir, “IEEE 802.16 Medium Access Control and Service Provisioning”, Intel Technology Journal, Vol. 8, No. 03, August 2004, pp. 213–28 [2] Jinchang Lu and Maode Ma, “Cross-layer QoS support framework and holistic opportunistic scheduling for QoS in single carrier WiMAX system”, Journal of Network and Computer Applications, Vol. 34, No. 2, March 2011, pp. 765–773. [3] L. Nuaymi, WiMAX Technology for Broadband Wireless Access. France: John Wiley & Sons, 2007. [4] Jeffrey G. Andrews, Arunabha Ghosh and Rias Muhammad, Fundamentals of WiMAX Understanding Broadband Wireless Networking, pp. 1–63, 271-292, 2007. [5] Bo Rong, Yi Quian and Hsiao-Hwa Chen, “Adaptive Power Allocation and Call Admission Control In Multiservice WiMAX Acess Networks”, IEEE Wireless Communications, February 2007. [6] Abdel Karim Al Tamimi, Chakchai So-In and Raj Jain, “Modeling and Resource Allocation for Mobile Video over WiMAX Broadband Wireless Networks”, IEEE Journal on Selected Areas in Communications, Vol. 28, No. 3, April 2010. [7] David A. Coley, “An Introduction to Genetic Algorithms for Scientists and Engineers”, World Scientific Publishing Co., 1999. [8] Rakesh Kumar Jha and Upena D. Dalal “Location Based Radio Resource Allocation (LBRRA) in WIMAX and WLAN network”, WICT 2011, Dec 2011, pp. 399–406. [9] Wankhede Vishal A. and Rakesh Jha, “Resource allocation algorithm for WiMAX system”, IEEE Symposium on Computer & Informatics, March 2011. [10] David A. Coley, “Introduction to genetatic algorithm for scientist and engineers”, World Scientific Publishing Co. 1999. [11] Rakesh Kumar Jha and Upena D. Dalal, “Location based radio resource allocation (LBRRA) in WiMAX and WiMAXWLAN interface network” COMSNET, IEEE Xplore, Jan 2012, pp. 1–2. [12] Rakesh Kumar Jha and Upena D. Dalal, “Location based radio resource allocation (LBRRA) for WiMAX networks”, IEEE ANTS 2011, IEEE Xplore, pp. 1–6.

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