Diversity through Coded Cooperation

Diversity through Coded Cooperation

February 11, 2004 | Todd E. Hunter, Student Member, IEEE and Aria Nosratinia, Member, IEEE
This paper proposes a new method called "coded cooperation" for achieving transmit diversity in wireless communication systems where multiple antennas are not feasible. Coded cooperation involves two single-antenna users forming a partnership to achieve space-time diversity by using each other's antennas as relays. Instead of direct relaying or repetition, cooperation is achieved through channel coding methods. Each codeword is divided into two subsets, with one subset transmitted by the user and the other by the partner. This approach achieves significant gains compared to non-cooperative systems while maintaining the same information rate, transmit power, and bandwidth. The paper develops tight upper bounds for bit and block error rates, validated through simulations. These results show that coded cooperation improves performance for various channel conditions between the users and the destination. The method is analyzed for both slow and fast fading channels. For slow fading, the system achieves full diversity order of two when both users successfully decode each other's signals. For fast fading, the diversity order is determined by the total Hamming weight of the error event. The paper also discusses practical implementation issues, including inter-user channel reciprocity and cooperative overhead. It shows that coded cooperation can be implemented using block or convolutional codes, with various methods for partitioning code words. The technique is validated through simulations, demonstrating significant performance improvements over traditional methods like amplify-and-forward. The results show that coded cooperation can provide substantial gains in both slow and fast fading environments, even when one user has a much worse uplink channel than the other. The method is flexible and robust, allowing for adaptation to different channel conditions.This paper proposes a new method called "coded cooperation" for achieving transmit diversity in wireless communication systems where multiple antennas are not feasible. Coded cooperation involves two single-antenna users forming a partnership to achieve space-time diversity by using each other's antennas as relays. Instead of direct relaying or repetition, cooperation is achieved through channel coding methods. Each codeword is divided into two subsets, with one subset transmitted by the user and the other by the partner. This approach achieves significant gains compared to non-cooperative systems while maintaining the same information rate, transmit power, and bandwidth. The paper develops tight upper bounds for bit and block error rates, validated through simulations. These results show that coded cooperation improves performance for various channel conditions between the users and the destination. The method is analyzed for both slow and fast fading channels. For slow fading, the system achieves full diversity order of two when both users successfully decode each other's signals. For fast fading, the diversity order is determined by the total Hamming weight of the error event. The paper also discusses practical implementation issues, including inter-user channel reciprocity and cooperative overhead. It shows that coded cooperation can be implemented using block or convolutional codes, with various methods for partitioning code words. The technique is validated through simulations, demonstrating significant performance improvements over traditional methods like amplify-and-forward. The results show that coded cooperation can provide substantial gains in both slow and fast fading environments, even when one user has a much worse uplink channel than the other. The method is flexible and robust, allowing for adaptation to different channel conditions.
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