Impact of Interference on the Performance of Selection Based Parallel Multiuser Scheduling

Abstract

In this paper, we investigate the impact of interference on the performance of selection based parallel multiuser scheduling. In conventional parallel multiuser scheduling schemes, every scheduled user is interfering with every other scheduled user. This is a factor which limits the capacity and performance of multiuser systems and the level of interference becomes substantial as the number of scheduled users increases. Based on the above motivation, we investigate the trade-off between the throughput and the number of scheduled users. The major difficulty in the total average sum rate capacity and the average spectral efficiency (ASE) analysis resides in the determination of the statistics of the Signal to Interference plus Noise Ration (SINR) of the scheduled user. Fortunately, we could derive the accurate statistical characterization of the SINR of the scheduled user. With these accurate statistical analysis, we derive the total average sum rate capacity and the average spectral efficiency based on the SINR. Based on the ASE and the total average sum rate capacity analysis, we investigate the trade-off between the throughput and the number of scheduled users. Hence, based on these results, the system should carefully select the appropriate number of scheduled users to maximize the overall throughput while maintaining an acceptable quality of service given certain channel conditions.

Joint Statistics of Partial Sums of Ordered i.n.d. Gamma Random Variables

“…gamma-fading environments. Consequently, this expansion enables sophisticated analysis of various research topics, including advanced diversity combining [16,17], channel adaptive transmission [18], multiuser scheduling [13], and advanced RAKE receivers [47][48][49][50], all within the framework of the gamma distribution. This enhancement broadens the potential applications of the mathematical framework introduced in this work, allowing for comprehensive analysis of wireless communication systems in diverse environments.…”

“…Following the system model used in [13], we assume that M 1 users among M potential users are scheduled for simultaneous transmission per scheduling period. Instead of the i.i.d.…”

“…Instead of the i.i.d. fading channel assumption in [13], we consider more practical and realistic environments such that the potential M users experience non-homogeneous fading channels, i.e., the received SNRs for the j-th user, denoted by {γ j } M j=1 , are i.n.d. RVs.…”

“…To illustrate our approach and contributions, we focus on a state-of-the-art technology example, a multiuser scheduling scheme [13][14][15]. In conventional parallel multiuser scheduling, a scheduled user's signal is detected by correlating signals from all scheduled users, leading to multiple-user interference (MUI).…”