Investigation on Channel Capacity Enhancement for MIMO-OFDM in Fading Channels using Hybrid Water Filling and Nash Algorithm

Ali Farzamnia, Eng Soo Yew, Md Nazrul Islam

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)


In this competing wireless communication system, channel capacity is one of the important considerations in promising reliable communication over wireless medium. The demand for channel capacity is increasing from time to time due to the increase of wireless network users. The combination of Multiple Input Multiple Output and Orthogonal Frequency Division Multiplexing (MIMO-OFDM) is a convincing solution to enhance the capacity of different fading channels. However, the channel capacity is still limited by the use of power allocation algorithm. The existing channel capacity is dependent on Water Filling power allocation algorithm. In this paper, a hybrid algorithm of Water Filling and Nash algorithm is proposed and is applied to revise the power allocations to the channels. The proposed method has considered Rayleigh, Rician and Nakagami fading channels in the simulations. The results have shown that the channel capacity is increased significantly in different fading channels by using the proposed method compared to the existing water filling algorithm. In the future, researchers may focus on the improvement of the channel capacity in terms of power allocation method.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 13th International Colloquium on Signal Processing and its Applications, CSPA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781509011841, 9781509011834
ISBN (Print)9781509011858
Publication statusPublished - 12 Oct 2017
Externally publishedYes
Event13th IEEE International Colloquium on Signal Processing and its Applications - Penang, Malaysia
Duration: 10 Mar 201712 Mar 2017
Conference number: 13


Conference13th IEEE International Colloquium on Signal Processing and its Applications
Abbreviated titleCSPA 2017

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