In this paper, an enhance DSSS technique was proposed which considers both serving and its neighbouring base stations in the network. N radius fraction coefficient (b) were applied in DSSS technique in order to improve the SINR value. First, SINR MUE and SINR WUE for the standard DSSS were simulated. Then, by using the obtained analysis, the enhance DSSS technique was proposed. As the results, the SINR at MUE using a-coefficient gives better SINR than standard around 4%~5% improvement. On the other hand, the SINR at WUE using SINR than standard around 9%~10% improvement. Other than that, by applying both a-coefficient and b-coefficient into the proposed DSSS based on modified interference power, the improvement for SINR MUE increases to 11% spikes to 74%~84%.
<span>This paper proposes a UE-controlled intelligent handover algorithm for natural disaster. In this handover algorithm, two variables known as modified Received Signal Strength (RSSm) and Left over Power (LoP) are identified. The RSSm is an improved formulation from RSS where distance fraction coefficient has been introduced. The fraction coefficient of 0.2 is used where the affected areas is reduced so that the users can receive good signal quality due to its location near to the base station. Meanwhile, the LoP also has been investigated to control power consumption of base station. In this research, 80% RSSm and 20% LoP has been chosen for the proposed handover algorithm as it can maintain good quality of service (QoS) for all users and also can prolong battery life. From the simulation results obtained, the average number of handovers for the proposed handover algorithm outperformed the conventional natural disaster handover algorithm.</span>
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