Open Access Open Access  Restricted Access Subscription Access

Adaptive Resource Allocation For MAI Minimization in Wireless Adhoc Network


Affiliations
1 Singhania University, Pacheri Bari Dist., Jhunjhunu, Rajasthan, India
2 Dept of E&CE, Dayanand Sagar College of Engg, Bangalore, India
 

Coding-based solutions for MANETs have emerged as a basic solution to current high rate data accessing in adhoc network. This has become essential related to the absence of centralized control such as a monitoring station. A code assignment protocol is needed to assign distinct codes to different terminals. This problem is less effective in small networks, but becomes dominative in large networks where the numbers of code sequence are lesser than the number of terminals to code, demanding reuse of the codes. The issue of code allocation in communication is focused in this paper with the evaluation of MAI in wireless network. Unlike previously proposed protocols in this paper a focus for the multiple access interference (MAI), thereby addressing the limiting near-far problem that decreases the throughput performance in MANETs is made. The code assignment scheme is developed for the proper usage of users code under MANETs communication to minimize the MAI impact.

Keywords

Adaptive Resource Allocation, MAI Minimization, Information Sharing, Adhoc Network.
User
Notifications
Font Size

Abstract Views: 126

PDF Views: 0




  • Adaptive Resource Allocation For MAI Minimization in Wireless Adhoc Network

Abstract Views: 126  |  PDF Views: 0

Authors

Mohammed Abdul Waheed
Singhania University, Pacheri Bari Dist., Jhunjhunu, Rajasthan, India
K. Karibassappa
Dept of E&CE, Dayanand Sagar College of Engg, Bangalore, India

Abstract


Coding-based solutions for MANETs have emerged as a basic solution to current high rate data accessing in adhoc network. This has become essential related to the absence of centralized control such as a monitoring station. A code assignment protocol is needed to assign distinct codes to different terminals. This problem is less effective in small networks, but becomes dominative in large networks where the numbers of code sequence are lesser than the number of terminals to code, demanding reuse of the codes. The issue of code allocation in communication is focused in this paper with the evaluation of MAI in wireless network. Unlike previously proposed protocols in this paper a focus for the multiple access interference (MAI), thereby addressing the limiting near-far problem that decreases the throughput performance in MANETs is made. The code assignment scheme is developed for the proper usage of users code under MANETs communication to minimize the MAI impact.

Keywords


Adaptive Resource Allocation, MAI Minimization, Information Sharing, Adhoc Network.