Non-orthogonal multiple access(NOMA)represents the latest addition to the array of multiple access techniques,enabling simultaneous servicing of multiple users within a singular resource block in terms of time,frequen...Non-orthogonal multiple access(NOMA)represents the latest addition to the array of multiple access techniques,enabling simultaneous servicing of multiple users within a singular resource block in terms of time,frequency,and code.A typical NOMA configuration comprises a base station along with proximate and distant users.The proximity users experience more favorable channel conditions in contrast to distant users,resulting in a compromised performance for the latter due to the less favorable channel conditions.When cooperative communication is integrated with NOMA,the overall system performance,including spectral efficiency and capacity,is further elevated.This study introduces a cooperative NOMA setup in the downlink,involving three users,and employs dynamic power allocation(DPA).Within this framework,User 2 acts as a relay,functioning under the decode-and-forward protocol,forwarding signals to both User 1 and User 3.This arrangement aims to bolster the performance of the user positioned farthest from the base station,who is adversely affected by weaker channel conditions.Theoretical and simulation outcomes reveal enhancements within the system’s performance.展开更多
In this paper, we propose an approach to solve the power control issue in a Digital Cellular System( DS CDMA ) cellular system using Genetic Algorithms ( GAs ). The transmitter power control developed in this pap...In this paper, we propose an approach to solve the power control issue in a Digital Cellular System( DS CDMA ) cellular system using Genetic Algorithms ( GAs ). The transmitter power control developed in this paper has been proven to be efficient to control co channel interference, to increase bandwidth utilization and to balance the comprehensive services that are shared among all the mobiles with attaining a common Signal to Interference Ratio ( SIR ). In this paper, the optimal Centralized Power Control( CPC ) vector is characterized and its optimal solution to CPC is presented using GAs , in which First In First Out ( FIFO ) stacks and non linear decreasing functions are derived in the investigation for enforceing the convergence rate. Emphasis is put on the balance of services and convergence rate by using GAs .展开更多
文摘Non-orthogonal multiple access(NOMA)represents the latest addition to the array of multiple access techniques,enabling simultaneous servicing of multiple users within a singular resource block in terms of time,frequency,and code.A typical NOMA configuration comprises a base station along with proximate and distant users.The proximity users experience more favorable channel conditions in contrast to distant users,resulting in a compromised performance for the latter due to the less favorable channel conditions.When cooperative communication is integrated with NOMA,the overall system performance,including spectral efficiency and capacity,is further elevated.This study introduces a cooperative NOMA setup in the downlink,involving three users,and employs dynamic power allocation(DPA).Within this framework,User 2 acts as a relay,functioning under the decode-and-forward protocol,forwarding signals to both User 1 and User 3.This arrangement aims to bolster the performance of the user positioned farthest from the base station,who is adversely affected by weaker channel conditions.Theoretical and simulation outcomes reveal enhancements within the system’s performance.
文摘In this paper, we propose an approach to solve the power control issue in a Digital Cellular System( DS CDMA ) cellular system using Genetic Algorithms ( GAs ). The transmitter power control developed in this paper has been proven to be efficient to control co channel interference, to increase bandwidth utilization and to balance the comprehensive services that are shared among all the mobiles with attaining a common Signal to Interference Ratio ( SIR ). In this paper, the optimal Centralized Power Control( CPC ) vector is characterized and its optimal solution to CPC is presented using GAs , in which First In First Out ( FIFO ) stacks and non linear decreasing functions are derived in the investigation for enforceing the convergence rate. Emphasis is put on the balance of services and convergence rate by using GAs .
