عصر حاضر کی تناظر میں عرف اور عادت کی شرعی حیثیت: ایک تجزیاتی مطالعہ

The unique feature of Islam is its comprehensive code of life. This proves its indispensability and worth as the universal order which accommodates complex issues of human life without compromising on its fundamentals. Hence, it is a matchless way of life on this planet. Keeping in view the modern specification of the current age in respect of those countries which tend to modify their legislations and their political, economic and social institutions as per Islamic framework. In this regard, a part from the fundamental and core Islamic sources of jurisprudence like the holy Quran, traditions of the holy Prophet (Hadith), consensus of Muslim scholars (Ijma) and Analogy (Qias), there are other sources like ‘Decorum’ (Istihsan) and ‘Arbitrariness’ (Masalih e Mursalah) to play their effective and significant jurisprudential role to address the numerous social issues by honoring the customs and norms already prevailing in any particular society. The article under discussion speaks of the distinct characteristic of Islam that it is a religion of nature and takes care of natural necessities of human life. Already prevailing customs and norms in human society are not subject to disregard or straight rejection. Islam puts a considerable endeavor not to confront the wisdom of the society by sweeping its norms and customs unnecessarily. Conditions imposed by Islam to formulate any society are specious enough which accommodate many of the customs and encompass overwhelming norms in it. But being the sincere guardian of the humanity, on the other hand, it does not miss its significant reformative role to play with reference to those customs and norms which appear contrary to its fundamentals

Resource Allocation in Cognitive Radio Ad Hoc Networks: A Potential Game Perspective

In wireless cognitive radio networks, natural antagonism arises among unlicensed users when nodes opportunistically compete for unused frequency bands and the operations are seriously hampered by acute scarcity of resources. The transmitted power, which is inherently pertinent to the signal-to-interference-plus-noise ratio, cog- nition methodology, and lack of central management, must be preserved for longer network lifetime. In the midst of this struggle to acquire desired frequency band, where the performance of the entire network is dependent upon the behavior and etiquette exhibited by individual nodes, it is pivotal to introduce an e ective cooper- ation mechanism in order to improve the vital network parameters. In this work, we employ the concepts of game theory to develop an e cient and sustainable coopera- tion mechanism for e cient cognition and improved spectrum utilization. Instead of focusing merely on the interference a user observes, cooperation is ensured by taking into consideration the amount of interference a user creates for other network users. With the introduction of unlicensed users in licensed bands, the operations and interests of licensed users need to be protected, hence the spectrum owners are given an advantage and control over the multiple access policy. We address the problems in spectrum access and channel selection equilibrium in a leader-follower setup. In contrast to the game formulations that lack e cient power and pricing schemes, we present a cooperative Stackelberg potential game for cognitive players. A dynamic cost function is articulated to induce awareness in players to mitigate the e ects of sel sh choices in spectrum access while at the same time steer the distributive network towards achieving Nash equilibrium. The proposed scheme is mutually bene cial for i ii all players and focuses on improving the network performance and power e ciency. We design the network potential function such that the nodes have performance based incentives to cooperate and achieve a Nash equilibrium solution for e cient channel acquisition and capacity. Simulation results show fast convergence in channel selection strategies and increase in capacity for the entire network. In order to avoid anarchy in this uncontrolled and sometimes hostile environment, it is important to inhibit the nodes in making potentially risky decisions that may eventually jeopardize the stability and performance of the entire network. We present a game theoretic approach to combat the e ects of uncontrolled and sel sh behav- ior exhibited by cognitive network nodes. A sustainable solution is proposed that employs nonlinear learning in conjunction with potential function to alleviate the im- plications of disruptive behavior that is usually demonstrated in the access of scarce spectrum resources. The regret information in decision making is exploited along with history statistics to minimize information exchange and achieve swift convergence of strategies. Moreover, incorporating learning allows the cognitive players to select the channels in a simultaneous fashion instead of waiting for their turns to change their channel choices. This considerably reduces the delay in achieving network stability.