2011/06/27 by Mohammad Reza Javan, Ahmad R. Sharafat, Javan, Mohammad R. +1
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Network Optimization #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Wireless Communication Networks Research
paper · pdf · doi:10.48550/arxiv.1106.5326
openalex publication_date 2011/06/27 · openalex created_date 2025/10/24 · openalex updated_date 2026/07/28
We formulate the resource allocation problem for the uplink of code division\nmultiple access (CDMA) networks using a game theoretic framework, propose an\nefficient and distributed algorithm for a joint rate and power allocation, and\nshow that the proposed algorithm converges to the unique Nash equilibrium (NE)\nof the game. Our choice for the utility function enables each user to adapt its\ntransmit power and throughput to its channel. Due to users' selfish behavior,\nthe output of the game (its NE) may not be a desirable one. To avoid such\ncases, we use pricing to control each user's behavior, and analytically show\nthat similar to the no-pricing case, our pricing-based algorithm converges to\nthe unique NE of the game, at which, each user achieves its target\nsignal-to-interference-plus-noise ratio (SINR). We also extend our distributed\nresource allocation scheme to multi-cell environments for base station\nassignment. Simulation results confirm that our algorithm is computationally\nefficient and its signalling overhead is low. In particular, we will show that\nin addition to its ability to attain the required QoS of users, our scheme\nachieves better fairness in allocating resources and can significantly reduce\ntransmit power as compared to existing schemes.\n